SAN FRANCISCO — June 3, 2025 — Unravel Data today announced at Snowflake’s annual user conference, Snowflake Summit 2025, the launch of its Health Check, an AI-driven cost and performance optimization Snowflake Native App available on Snowflake Marketplace. Joint customers can now complement Snowflake’s built-in cost and performance optimization capabilities with Health Check to get a full analysis on the health of their data ecosystem, with recommendations for production workloads.

Through this collaboration, Unravel Data and Snowflake, the AI Data Cloud company will help joint customers inform business decisions and drive innovation by automatically analyzing Snowflake workloads to provide concrete, actionable recommendations to boost performance. As a Snowflake Native App, customers can install and run the Unravel Health Check directly in their Snowflake account without the need for data movement, accelerating time to value and reducing data silos.

“Enterprises face a significant execution gap in data platform optimization,” said Kunal Agarwal, CEO at Unravel Data. “Our free Snowflake Native App bridges this gap by not only identifying inefficiencies, but also provides concrete actions that are easy to implement.”

Unravel Health Check is capable of analyzing up to 30 days of Snowflake usage to deliver optimization recommendations across the following workloads:

• Warehouse usage — Rightsizing and consolidation opportunities to reduce costs
• SQL workload — Query enhancements to address inefficiencies in filters, joins, and projections
• Storage usage — Identification of “cold” tables and suboptimal feature usage

Using the combined capabilities of the Snowflake Native App Framework and Snowpark Container Services, Unravel Health Check offers sophisticated analysis while data remains within the customer’s Snowflake environment.

“What sets Unravel apart is our focus on actionability,” said Shivnath Babu, CTO at Unravel Data. “We deliver specific, implementable guidance that addresses the root causes of inefficiency.”

Users can install the Unravel Health Check directly from Snowflake Marketplace and see results within minutes, with no security or privacy concerns as data never has to leave their environment. Unravel Health Check is available now on the Snowflake Marketplace at no cost.

Snowflake Marketplace helps companies expand what’s possible with data and AI through third-party data, apps and AI products. With on-platform purchasing and immediate access to data products, Snowflake Marketplace lowers integration costs and streamlines procurement processes. By delivering data, apps and AI products directly to the customers’ data, providers deliver a superior customer experience and see accelerated revenue growth and increased margins. To learn more about Snowflake Marketplace and how to find, try and buy third-party products to accelerate your analytics, app development and AI initiatives, click here. 

The Snowflake Native App Framework enables developers to build applications using Snowflake’s core functionalities, distribute them globally on Snowflake Marketplace, and deploy them within a customer’s Snowflake account. To learn more about the Snowflake Native App Framework and how to become a Snowflake partner, click here.

About Unravel Data

Unravel Data is a data observability and FinOps platform that provides full-stack visibility, AI-powered recommendations, and actionable automations to help optimize the performance, cost, and reliability of modern data applications. For more information, visit unraveldata.com.

Media Contact:

Unravel Data PR Team
hello@unraveldata.com

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Mountain View, California — April 22, 2025 — Unravel Data, the first data actionability and FinOps platform built to address the cost, performance, and reliability of modern data platforms, today announced that it has been recognized on the CRN prestigious “Big Data 100” list for 2025. This annual list identifies the foremost technology vendors delivering innovative cloud-based big data analytics solutions that help enterprises harness the power of their data.

CRN^®, a brand of The Channel Company^®, has selected Unravel Data for its cutting-edge platform, which simplifies the management and optimization of complex data pipelines across multi-cloud and hybrid environments. The company’s inclusion on this year’s list underscores its commitment to helping organizations maximize performance, reduce costs, and increase the reliability of their modern data applications.

“We are honored to be recognized by CRN as one of the top cloud big data solution providers,” said Kunal Agarwal, CEO of Unravel Data. “This acknowledgment validates our mission to empower enterprises with the visibility and intelligence they need to succeed in today’s data-driven economy. As businesses continue to navigate the complexities of modern data stacks such as Databricks, Snowflake, and Google BigQuery, our platform ensures they can deliver on the promise of big data while controlling costs and maintaining operational excellence.”

Unravel Data’s platform stands out for its ability to:

• Provide end-to-end visibility across the entire data stack
• Automatically detect and remediate performance problems
• Optimize resource allocation and cloud spend
• Deliver AI-powered recommendations and automation for continuous improvement

“The companies on the CRN 2025 Cloud Big Data 100 list represent the cutting edge of innovation in cloud-based analytics and data management,” said Jennifer Follett, VP, US Content and Executive Editor, CRN. “These organizations are transforming how enterprises extract value from their data assets while addressing critical challenges around data governance, scalability, and cost optimization.”

Unravel Data continues to expand its platform capabilities and partner ecosystem to address the evolving needs of modern data teams. Recent enhancements include agentic automation to drive increased actionability, “two-click” insights, and real-time cost-performance evaluations down to job and user levels.

For more information about Unravel Data and its DataOps solutions, visit www.unraveldata.com.

About Unravel Data
Unravel Data is the leading provider of full-stack visibility and AI-powered insight and automation for modern data platforms. The Unravel FinOp and Data Actionability Platform leverages AI, machine learning, and advanced analytics to provide intelligent application performance management across the entire stack. Fortune 1000 companies rely on Unravel Data to drive self-service operations for their modern data applications. Founded in 2016, Unravel Data is headquartered in Mountain View, California, and backed by premier investors including Menlo Ventures, GGV Capital, and Harmony Partners.

Media Contact:
Keith Alsheimer
Chief Marketing Officer, Unravel Data
hello@unraveldata.com

About The Channel Company®
The Channel Company (TCC) is the global leader in channel growth for the world’s top technology brands. We accelerate success across strategic channels for tech vendors, solution providers, and end users with premier media brands, integrated marketing and event services, strategic consulting, and exclusive market and audience insights. TCC is a portfolio company of investment funds managed by EagleTree Capital, a New York City-based private equity firm. For more information, visit thechannelco.com.

Follow The Channel Company® on LinkedIn and X.

© 2025 The Channel Company, Inc. The Channel Company logo is a registered trademark of The Channel Company, Inc. All other trademarks and trade names are the properties of their respective owners. All rights reserved.

The Channel Company Contact:
Kristin DaSilva
The Channel Company
kdasilva@thechannelcompany.com

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Mountain View, California, January 21, 2025 — Unravel Data, the first Data Actionability and FinOps platform built to address the cost, performance, and reliability of modern data platforms, today announced that it has been recognized on the 2025 Cloud 100 list by CRN®, a brand of The Channel Company. This prestigious CRN list spotlights 100 leading channel-focused cloud companies across five key categories: cloud infrastructure, management, security, software, and storage.

CRN Cloud 100 companies demonstrate dedication to supporting channel partners and advancing innovation in cloud-based products and services. The list is the trusted resource for solution providers exploring cloud technology vendors that are well-positioned to help them build cloud portfolios that drive their success.

As cloud adoption accelerates, managing cloud costs, performance, and reliability has become increasingly crucial, with data management services emerging as the fastest-growing segment of cloud spending. Unravel Data is an advanced AI-driven data observability and FinOps solution that maximizes performance and cost efficiencies for cloud data analytics and AI workloads.

“Our platform can enable enterprises to more than double their workloads without increasing costs,” said Kunal Agarwal, CEO and co-founder of Unravel Data. “This achievement, coupled with our recognition as a CRN Cloud 100 Company for 2025, underscores our commitment to innovation and our ability to deliver substantial value to our customers and partners in the ever-evolving cloud landscape.”

Unravel’s cutting-edge AI and automation capabilities now offer predictive spend forecasting, proactive cost anomaly detection, and AI-generated optimization. These features provide real-time, user-level spend reporting and code-level optimization and implement automated spend controls that adapt to changing workload patterns. By leveraging advanced machine learning algorithms, Unravel empowers organizations to monitor data pipelines, detect code issues, and implement autonomous performance and infrastructure optimizations to increase ROI and ensure the reliability of SLAs.

At the core of the Unravel Data Actionability^TM Platform is the next-generation AI Insights Engine, designed to comprehend the intricacies of modern cloud data platforms, including Databricks, Snowflake, and BigQuery. Billions of data points are ingested in real-time, providing predictive analytics and autonomous optimization. This AI-driven approach allows Unravel to anticipate performance bottlenecks, preemptively optimize resource allocation, and automatically implement cost-saving measures, surpassing traditional manual management methods in today’s complex, hyper-scale data environments.

“As customer cloud needs accelerate, particularly in the face of expanding needs for digital transformation and AI-based solutions, cloud innovation has become more important than ever,” said Jennifer Follett, VP, U.S. Content, and Executive Editor, CRN, at The Channel Company. “Each company on this year’s Cloud 100 list are breaking new ground delivering products and services that empower solution providers to expand their cloud offerings and meet their customers’ requirements. We look forward to seeing how these companies continue to advance cloud computing in the coming year.”

CRN’s Cloud 100 list will be featured in the February 2025 issue of CRN magazine and online at www.crn.com/cloud100 beginning January 21.

About Unravel Data
Unravel Data radically transforms how businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Unravel’s market-leading data observability and FinOps platform, which has purpose-built AI for each data platform, provides actionable recommendations for cost and performance data and AI pipeline efficiencies. A winner of the Best Data Tool & Platform as part of the annual SIIA CODiE Awards, some of the world’s most recognized brands, like Maersk, Mastercard, and Equifax, rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Contact:
Keith Alsheimer
Unravel Data
hello@unraveldata.com

About The Channel Company
The Channel Company (TCC) is the global leader in channel growth for the world’s top technology brands. We accelerate success across strategic channels for tech vendors, solution providers, and end users with premier media brands, integrated marketing and event services, strategic consulting, and exclusive market and audience insights. TCC is a portfolio company of investment funds managed by EagleTree Capital, a New York City-based private equity firm. For more information, visit thechannelco.com.

Follow The Channel Company: LinkedIn, X, and Facebook.

© 2025 The Channel Company, Inc. CRN is a registered trademark of The Channel Company, Inc. All rights reserved.

The Channel Company Contact:
Kristin DaSilva
The Channel Company
kdasilva@thechannelcompany.com

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Unravel Data, the first AI-enabled data actionability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been included as a Sample Vendor in the Gartner® Hype Cycle for Container Technology, 2024 in the Augmented FinOps category.

Unravel’s Perspective

How Augmented FinOps Helps

Augmented FinOps empowers organizations by automating and enhancing financial operations through AI and automation. This innovative approach provides real-time insights into cloud spending, identifies cost-saving opportunities, and ensures budget adherence. By leveraging domain-specific knowledge and intelligent automation, Augmented FinOps reduces manual workload, improves financial accuracy, and optimizes resource allocation. Ultimately, it drives efficiency, enabling businesses to focus on strategic growth while ensuring financial health and governance.

Introducing Unravel’s New AI Agents

Unravel recently announced the three groundbreaking new AI agents: the Unravel FinOps AI Agent, the Unravel DataOps AI Agent, and the Unravel Data Engineering AI Agent. These AI agents are designed to transform how data teams manage and optimize their operations. The Unravel FinOps AI Agent helps automate financial governance, providing near real-time insights into cloud expenditures with showback and chargeback reports, identifying cost-saving opportunities and enabling action. The Unravel DataOps AI Agent streamlines data pipeline monitoring and anomaly detection, and troubleshooting, freeing up human experts for more strategic tasks. Meanwhile, the Unravel Data Engineering AI Agent enhances productivity by automating routine tasks, allowing data engineers to focus on high-value problem-solving. Together, these AI agents empower organizations to achieve greater efficiency, accuracy, and innovation in their data operations, driving transformative business outcomes.

Three Keys to Optimizing Containers for Your Modern Data Stack

In today’s fast-paced digital landscape, optimizing containers is crucial for the efficiency and scalability of your modern data stack. Here are three key strategies to ensure your containerized environments are performing at their best:

1. Implement FinOps for Containers:

FinOps principles like monitoring, optimization, automation, and cost allocation can be applied to container workloads to enhance their efficiency, scalability, and cost-effectiveness. Advanced observability tools, integrated with AI-driven insights, can proactively identify potential problems and suggest optimizations, keeping your data stack running efficiently.

2. Right-Size Your Containers:

Properly sizing your containers is essential to prevent resource wastage and ensure optimal performance. Over-provisioning can lead to unnecessary costs, while under-provisioning can cause performance bottlenecks. Utilize AI-powered tools and automation that provide real-time monitoring and analytics to understand your workloads’ demands and adjust resources accordingly. This dynamic approach helps maintain a balance between cost and performance, ensuring your applications run smoothly without incurring excessive expenses.

3. Automate Management and Scaling:

Automation is a game-changer in container management, allowing for seamless scaling and resource allocation based on real-time demands. Employ automation tools that can handle tasks such as load balancing, resource provisioning, and fault tolerance. Kubernetes, for example, offers powerful automation capabilities that can dynamically manage container orchestration, ensuring your data stack can scale efficiently as your workloads grow. By automating these processes, you reduce the risk of human error, increase operational efficiency, and ensure that your infrastructure can adapt to changing demands without manual intervention.

Optimizing containers using a FinOps approach enables teams to right-size, automate, and scale not only enhances performance and cost-efficiency but also ensures your modern data stack is resilient, scalable, and ready to meet the demands of today’s data-driven world.

Next Steps

Ready to optimize your data operations? Discover the transformative impact of Unravel’s new AI agents. Request a free health check to see how your organization can improve performance, efficiency, and cost management. Start your journey towards smarter, more actionable data insights today.

Gartner, Hype Cycle for Container Technology, By Dennis Smith, 20 June 2024
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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Unravel AI Agents Empower DataOps, FinOps and Data Engineering Teams to Move Beyond Observability to Achieve Data Actionability^TM

PALO ALTO, Calif.– June 12, 2024 – Unravel Data, the first AI-enabled data actionability^TM and FinOps platform built to address the speed and scale of modern data platforms, today announced the release of three groundbreaking new AI agents: the Unravel DataOps Agent, the Unravel FinOps Agent, and the Unravel Data Engineering Agent.

While generative AI capabilities such as Large Language Models allow users to ask general questions and receive broad answers, AI agents are designed to perform specific, actionable tasks within their domains. These AI agents leverage domain-specific knowledge graphs and advanced automation to tackle precise problems faced by data teams, significantly enhancing efficiency and accuracy. All three new AI agents are included as part of the latest version of Unravel Platform.

The introduction of AI agents has the potential to transform various data-centric disciplines where the complexity of managing and making decisions about data pipelines often requires significant human intervention. In DataOps, AI agents can automate routine tasks like data pipeline monitoring and anomaly detection, freeing up human experts for more strategic endeavors. Meanwhile, AI agents for FinOps teams can be deployed to continuously track and analyze cloud expenditures for data storage, processing, and analytics, identifying cost-saving opportunities and potential budget overruns.

“Over the past decade, Unravel has been at the forefront of data observability, continuously innovating to meet the evolving needs of our enterprise customers. With this launch, we are taking customers beyond observability, to actionability,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “The market is demanding solutions that don’t simply observe and tell you what’s happening, but make it actionable by telling you how to solve the problem. And better still, to fix it for them. This will allow resource crunched data teams to get more done through smart automation.”

AI agents hold immense potential for transforming data-related disciplines by automating the many time-consuming and tedious tasks that consume the time of under-resourced data teams. Some of the distinguishing capabilities of Unravel’s AI Agents include:

• Domain-Specific Design: Unravel’s AI agents leverage deep domain-specific knowledge graphs to address the specific challenges data teams face daily.
• Flexibility and Control: Users can choose their preferred level of AI automation, from highly supervised to fully automated, ensuring they are able to maintain the proper amount of oversight over critical data-driven processes.
• Enhanced Focus for Data Engineers: By automating mundane tasks, these AI agents enable data engineers to reduce boring and repetitive tasks, maximize productivity and focus on solving critical, high-value problems.
• Precision and Reliability: Built to provide accurate and reliable solutions, Unravel’s AI agents are finely tuned to handle precise data operations issues.
• Comprehensive Cost Management: For FinOps teams, the AI agents facilitate automated cost governance, uncover savings opportunities, and proactively manage budgets.

Maersk, one of the world’s largest logistics companies, recognized the benefits of Unravel’s AI agents to streamline their data processes, optimize their cloud spending, and enhance their operational efficiency. “Unravel enables developers to proactively manage complex data systems effortlessly,” said Peter Rees, Lead Architect for Enterprise Data at Maersk. “By providing clear, actionable information through a conversational interface, we look forward to using these AI agents to help us detect and troubleshoot issues faster, propose configuration changes, and allow developers to approve and apply those changes seamlessly.”

To learn more about how Unravel agents can deliver actionable insights into your data pipelines, visit: www.unraveldata.com

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Unravel’s market-leading data actionability^TM and FinOps platform with purpose-built AI for each data platform, provides prescriptive recommendations needed for cost and performance data and AI pipeline efficiencies. A recent winner of the Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards, some of the world’s most recognized brands like Adobe, Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

PR Contact:
Rob Nachbar
Kismet Communications for Unravel Data
unraveldata@zagcommunications.com

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Palo Alto, CA – Apr. 24, 2024 – Unravel Data is proud to announce A.P. Moller – Maersk, a global leader in container logistics, is participating at the upcoming Gartner Data & Analytics Summit. Scheduled from May 13-15, 2024, at ExCeL London, this summit is renowned for gathering visionaries and innovators in the realm of data and analytics.

Peter Rees, Lead Architect at Maersk, together with Mark Sear, Director of Insight Analytics, Data, and Integration at Maersk, will be leading a must-attend session titled “Unravel Data: How to stop burning money (or at least slow the burn).” This session is meticulously designed to address the escalating concern of unpredictable growth in data analytics costs which can significantly hinder the progression of data-driven innovation.

Session Overview:

Data analytics costs are spiraling, and businesses are searching for methodologies to efficiently manage and optimize these expenses without compromising on innovation or operational agility. Maersk, leveraging Unravel Data’s cutting-edge solutions, has pioneered a cost-optimization framework that not only streamlines development and data delivery processes but also aligns with the enterprise’s mission to deliver a more connected, agile, and sustainable future for global logistics.

During the session, attendees will gain exclusive insights into how Maersk has successfully harnessed the power of Unravel Data within its infrastructure to ensure the business remains at the forefront of cost efficiency while bolstering its data-driven decision-making capabilities.

Speaker Highlights:

• Peter Rees, as Maersk’s Lead Architect specializing in Enterprise Data & AI/ML, brings a wealth of knowledge in data mesh and event-driven architectures. His extensive track record in AI strategies and analytics, complemented by an innovative mindset, positions him as a cornerstone in the conversation on bridging data technology with business value.
• Mark Sear elevates the discourse with his profound expertise in digital transformation and business intelligence as Maersk’s Director of Insight Analytics, Data, and Integration. Mark’s academic and professional achievements underscore his commitment to leveraging data for actionable insights, thus fostering strategic business growth and operational efficiencies.

Event Details:

• What: Gartner Data & Analytics Summit
• When: May 13-15, 2024
• Where: ExCeL London, UK
• Session Title: Unravel Data: How to stop burning money (or at least slow the burn)

Unravel Data invites all attendees who are looking to navigate the challenges of data analytics cost growth to join this session. It promises to be an enlightening exploration of practical solutions, real-world applications, and visionary strategies for any organization aiming to optimize their data-driven initiatives and investments.

About A.P. Moller – Maersk:
A.P. Moller – Maersk is an integrated container logistics company working to connect and simplify its customers’ supply chains. As a global leader in shipping services, the company operates in 130 countries and employs over 80,000 people. For further information, visit www.maersk.com.

About Unravel Data:
Unravel’s automated, AI-powered data observability + FinOps provides 360° visibility to allocate costs with granular precision, accurately predict spend, run 50% more workloads at the same budget, launch new apps 3X faster, and reliably hit greater than 99% of SLAs. For further information, visit www.unraveldata.com.

Media Contact:
Keith Alsheimer
CMO, Unravel Data
hello@unraveldata.com

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Unravel Data Achieves Google Cloud Ready – BigQuery Designation, Delivering AI-driven Cost and Performance Optimization to BigQuery Users

Purpose-built AI provides real-time data observability and FinOps for BigQuery performance and data cost governance

PALO ALTO, CA — Apr. 9, 2024 – Unravel Data, the first AI-enabled data observability and FinOps platform built to optimize the cost, speed, and scale of data pipelines and applications running on cloud data platforms, today announced that Unravel for BigQuery has achieved Google Cloud Ready – BigQuery designation. In doing so, Unravel has demonstrated that its product has met a core set of functional and interoperability requirements that allow for robust integration with BigQuery.

Unravel for BigQuery provides purpose-built, AI-driven cost and performance optimization insights and prescriptive recommendations for maximizing cost efficiencies and speed to value of data and AI pipelines moving through BigQuery. With Unravel, BigQuery users have a means to optimize SQL queries and maximize cloud data investments for greater return and select the BigQuery edition that best suits their situation, based on their unique compute, storage, and data usage patterns. With the Google Cloud Ready – BigQuery designation, BigQuery users have validation that Unravel has been proven through a rigorous validation process to work optimally with BigQuery, securely and at scale.

“Companies are faced with a rapid race to leverage AI and data products across all areas of the business. This means that in addition to having unprecedented amounts of data to manage, they also have more users of data, and more people of varying skill levels creating models and products. As a result, data teams are increasingly faced with more bottlenecks due to broken data and AI pipelines and inefficient data processing and a vast impact on escalating cloud data bills,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “We’re extremely excited, therefore, to be part of the Google Cloud Ready – BigQuery program as now even more companies can be assured of the right unit costs for their AI and data projects, thus speeding time to value.”

At the core of Unravel Data’s platform is its AI-powered Recommendation Engine which has been trained to understand all the intricacies and complexities of modern data platforms and the supporting infrastructure. Built to ingest and interpret the continuous millions of ongoing data streams, the Engine provides real-time insights into application and system performance, as well as recommendations to optimize costs, including right-sizing instances and applying code recommendations for performance and financial efficiencies.

Unravel provides deep observability of the job, user, and code level, providing BigQuery customers with insights and AI-driven cost optimization recommendations for slots and SQL queries. Moreover, real-time cost visibility, predictive spend forecasting, and performance insights for workloads mean that BigQuery users are able to accelerate their cloud transformation initiatives. With easy-to-use widgets that offer insights on spend, performance, and unit economics, BigQuery users can also customize their dashboards and alerts.

Learn how Unravel and Google Cloud BigQuery can help enterprises optimize their cloud data spend and increase ROI here.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data and applications – and the complex data and AI pipelines that power those applications. Unravel’s market-leading data observability and FinOps platform with purpose-built AI for each data platform, provides actionable recommendations needed for cost and performance data and AI pipeline efficiencies. A recent winner of the Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards, some of the world’s most recognized brands like Maersk, Mastercard, Charter Communications, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

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PALO ALTO, CA — Jan. 22, 2024 – Unravel Data, the first AI-enabled data observability and FinOps platform built to address the speed and scale of modern data platforms, today announced that CRN^®, a brand of The Channel Company, has named the company to its annual Cloud 100 list. The list spotlights technology suppliers for their commitment to channel partners as well as their demonstrated innovation in cloud-based technology development and serves as a trusted resource for solution providers looking for technology vendors best positioned to support their cloud product and services needs. 

“As cloud costs continue to climb, managing cloud spend remains a top challenge with data management services leading as the fastest-growing category of cloud spending. With the Unravel Data Platform — the first data observability and FinOps platform that unlocks both the performance and cost efficiencies that data teams need to achieve speed, scale, and ROI for cloud data analytics and AI products — enterprises are able to achieve up to twice as many workloads for the same spend,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “We work closely with our channel partners to ensure that our joint customers are able to optimize not only the costs but the performance of their cloud data projects and so it’s extremely gratifying to be recognized by CRN.” 

Unravel leverages AI and automation to provide real-time, user-level spend reporting, code-level cost optimization tips, and automated spend controls designed to empower and unify data and FinOps teams. With Unravel, organizations can monitor data flows through their pipelines, and detect code, configuration, and infrastructure issues. By correlating and analyzing the full stack of telemetry metadata, Unravel provides easy-to-understand insights, actionable recommendations, and automation to optimize performance and cost before costs show up on an invoice.

At Unravel’s core is an AI-powered Insights Engine, which is purpose-built and trained to understand all the intricacies and complexities of specific modern cloud data platforms. Unravel provides platform-specific solutions for Databricks, Amazon EMR, Google Cloud BigQuery, and Snowflake. The Engine has been built to ingest and interpret the continuous millions of ongoing data streams to provide real-time insights into application and system performance, and recommendations to optimize costs, including right sizing instances and applying code recommendations for efficiencies. In addition, the Engine has been trained to understand optimal performance indicators and resulting financial implications. Without the power of the Insights Engine, the vast amount of data, system complexity, and data pipelines makes it impossible for people to manage data for performance and cost efficiency.

“As migration to the public cloud and cloud-based software accelerates, enterprises increasingly depend on innovative, secure cloud services to harness the cloud’s agility and scalability,” said Jennifer Follett, VP, US Content and Executive Editor, CRN, The Channel Company. “The companies selected for this year’s Cloud 100 list demonstrate a strong commitment to supporting cloud computing solution providers with leading-edge products and services. Congratulations to those on this year’s list! We look forward to seeing how they propel innovation and channel success in cloud computing throughout the year ahead.”

CRN’s Cloud 100 list honors the 100 leading cloud companies for 2024 across five key categories: infrastructure, monitoring and management, storage, software, and security. The list will be featured in the February 2024 issue of CRN magazine and online at www.crn.com/cloud100.

About Unravel Data

Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Unravel’s market-leading data observability and FinOps platform with purpose-built AI for each data platform, provides actionable recommendations needed for cost and performance data and AI pipeline efficiencies. A recent winner of the Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards, some of the world’s most recognized brands like Adobe, Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

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Purpose-built AI provides real-time cost and performance insights and efficiency recommendations for Databricks users

Palo Alto, CA — December 5, 2023 — Unravel Data, the first AI-enabled data observability and FinOps platform built to address the speed and scale of modern data platforms, today announced that it has joined the Databricks Partner Program to deliver AI-powered data observability into Databricks for granular visibility, performance optimizations, and cost governance of data pipelines and applications. With this new partnership, Unravel and Databricks will collaborate on Go-To-Market (GTM) efforts to enable Databricks customers to leverage Unravel’s purpose-built AI for the Lakehouse for real-time, continuous insights and recommendations to speed time to value of data and AI products and ensure optimal ROI.   

With organizations increasingly under pressure to deliver data and AI innovation at lightning speed, data teams are on the front line of delivering production-ready data pipelines at an exponential rate while optimizing performance and efficiency to deliver faster time to value. Unravel’s purpose-built AI for Databricks integrates with Lakehouse Monitoring and Lakehouse Observability to deliver performance and efficiency needed to achieve speed and scale for data analytics and AI products. Unravel’s integration with Unity Catalog enables Databricks users to speed up lakehouse transformation by providing real-time, AI-powered cost insights, code-level optimizations, accurate spending predictions, and performance recommendations to accelerate data pipelines and applications for greater returns on cloud data platform investments. AutoActions and alerts help automate governance with proactive guardrails.

“Most organizations today are receiving unprecedented amounts of data from a staggering number of sources, and they’re struggling to manage it all, which can quickly lead to unpredictable cloud data spend. This combination of rapid lakehouse adoption and the hyperfocus companies have on leveraging AI/ML models for additional revenue and competitive advantage, brings the importance of data observability to the forefront,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “Lakehouse customers who use Unravel can now achieve the agility required for AI/ML innovation while having the predictability and cost governance guardrails needed to ensure a strong ROI.”

Unravel’s purpose-built AI for Databricks delivers insights based on Unravel’s deep observability at the job, user, and code level to supply AI-driven cost efficiency recommendations, including compute provisioning, query performance, autoscaling efficiencies, and more. 

Unravel for Databricks enables organizations to:

• Speed cloud transformation initiatives by having real-time cost visibility, predictive spend forecasting, and performance insights for their workloads 
• Enhance time to market of new AI initiatives by mitigating potential pipeline bottlenecks and associated costs before they occur
• Better manage and optimize the ROI of data projects with customized dashboards and alerts that offer insights on spend, performance, and unit economics

Unravel’s integration with popular DevOps tools like GitHub and Azure DevOps provides actionability in CI/CD workflows by enabling early issue detection during the code-merge phase and providing developers real-time insights into potential financial impacts of their code changes. This results in fewer production issues and improved cost efficiency.

Learn how Unravel and Databricks can help enterprises optimize their cloud data spend and increase ROI here.   

About Unravel Data

Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Unravel’s market-leading data observability and FinOps platform with purpose-built AI for each data platform, provides actionable recommendations needed for cost and performance data and AI pipeline efficiencies. A recent winner of the Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards, some of the world’s most recognized brands like Adobe, Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

The post Unravel Data Partners with Databricks for Lakehouse Observability and FinOps  appeared first on Unravel.

Efficiency Recommendations for Infrastructure, Configuration, and Code

PALO ALTO, CA — November 14, 2023 – Unravel Data, the first AI-enabled data observability and FinOps platform built to address the speed and scale of modern data platforms, today announced the release of Unravel for Snowflake. By employing AI that is purpose-built for managing the Snowflake technology stack, cloud data cost management is put into the hands of Snowflake customers by providing them with granular insights into specific cost drivers, as well as AI-driven cost and performance recommendations for optimizing SQL queries and data applications. Unravel for Snowflake is the latest data observability and FinOps product from Unravel Data, adding to the portfolio of purpose-built AI solutions that include Databricks, EMR, Cloudera, and BigQuery. 

Today, companies are looking to AI to provide them with a competitive advantage, which is driving an exponential increase in data usage and workloads, use cases, pipelines, and generative AI/LLM models. In turn, companies are facing even greater problems with broken pipelines and inefficient data processing, slowing time-to-business value and adding to exploding cloud data bills. Unfortunately, most companies lack visibility into their data cloud spend or ways to optimize data pipelines/workloads to lower spend, speed innovation, and mitigate problems. 

Unravel’s purpose-built AI for Snowflake delivers insights based on Unravel’s deep observability at granular levels to deliver AI-driven cost optimization recommendations for warehouses and SQL that include: warehouse provisioning, run-time, auto-scaling efficiencies, and more. With Unravel, Snowflake users can see real-time cost usage by query, user, department, and warehouse, and set customized dashboards, alerts, and guardrails to enable accurate, granular cost allocation, trend visualization, and forecasting.  

“As companies double down on AI efforts, we can expect to see more wasted data cloud spend. Costs are incurred not only with infrastructure but with consumption, as most AI pipelines are created in ways that drive up unnecessary cloud data costs,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “Data engineering and architecture teams need an early warning system to alert them to out-of-control spending, an automated way to pinpoint the source of performance issues and cost overruns, and AI-driven recommendations to optimize code in ways that mitigate unnecessary costs, speed new development, and eliminate data pipeline problems.”

At the core of Unravel Data’s platform is its AI-powered Insights Engine, which has been trained to understand all the intricacies and complexities of modern data platforms and the supporting infrastructure. The Insights Engine has been built to ingest and interpret the continuous millions of ongoing data streams to provide real-time insights into application and system performance, and recommendations to optimize costs, including right-sizing instances and applying code recommendations for performance and financial efficiencies. When combined with Unravel’s automated guardrails and alerts, the Insights Engine enables organizations to achieve data cloud efficiency at scale.  

“Our latest research shows that the adopters of cloud data warehouses struggle with data pipeline complexity, lack of staff/expertise, and an inability to predict workloads,” says Kevin Petrie, VP of Research at The Eckerson Group. “FinOps platforms for cloud data analytics, such as Unravel, provide the granular visibility that stakeholders need to predict and monitor spending. This makes it easier for companies to optimize workloads, change user behavior, and get a handle on governing cloud costs.”

Unravel for Snowflake includes additional features such as:

• Visibility for cost allocation with chargeback/showback reports 
• Warehouse-level insights and recommendations relating to warehouse consolidation and underutilization efficiencies
• Compute + storage unit cost reporting with average cost per project, query, and user over time
• SQL-related insights and recommendations for optimizing queries by filters, joins, projection inefficiencies, anti-patterns, and more to improve query efficiency and increase capacity so that more users and requests can be served at the same spend
• Dashboard customization for at-a-glance summaries and drill-down insights for spend, performance, and unit costs
• Alert customization using OpenSearch-based alerts beyond Snowflake’s out-of-the-box alerts to enable early warnings of resource usage spikes before they hit the cloud bill

To learn more about how we are helping Snowflake customers optimize their data cloud costs and to request a complimentary “Health Check” – projected annual cost savings for your Snowflake warehouses using Unravel’s optimization insights and recommended actions to start saving–  visit Unravel for Snowflake.

About Unravel Data

Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Unravel’s market-leading data observability and FinOps platform with purpose-built AI for each data platform, provides actionable recommendations needed for cost and performance data and AI pipeline efficiencies. A recent winner of the Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards, some of the world’s most recognized brands like Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com 

The post Unravel Data Launches Cloud Data Cost Optimization for Snowflake appeared first on Unravel.

New Functionality Delivers FinOps, AI-driven Cloud Cost Management and Performance Optimization for BigQuery Users

PALO ALTO, CA — August 10, 2023 – Unravel Data, the first AI-enabled data observability and FinOps platform built to address the speed and scale of modern data platforms, today announced the release of Unravel 4.8.1, enabling Google Cloud BigQuery customers to see and better manage their cloud data costs by understanding specific cost drivers, allocation insights, and performance and cost optimization of SQL queries. This launch comes on the heels of the recent BigQuery pricing model change that replaced flat-rate and flex slot pricing with three new pricing tiers, and will help BigQuery customers to implement FinOps in real time to select the right new pricing plan based on their usage, and maximize workloads for greater return on cloud data investments.

As today’s enterprises implement artificial intelligence (AI) and machine learning (ML) models to continually garner more business value from their data, they are experiencing exploding cloud data costs, with a lack of visibility into cost drivers and a lack of control for managing and optimizing their spend. As cloud costs continue to climb, managing cloud spend remains a top challenge for global business leaders. Data management services are the fastest-growing category of cloud service spending, representing 39% of the total cloud bill. Unravel 4.8.1 enables visibility into BigQuery compute and storage spend and provides cost optimization intelligence using its built-in AI to improve workload cost efficiency. 

Unravel’s AI-driven cloud cost optimization for BigQuery delivers insights based on Unravel’s deep observability of the job, user, and code level to supply AI-driven cost optimization recommendations for slots and SQL queries, including slot provisioning, query duration, autoscaling efficiencies, and more. With Unravel, BigQuery users can speed cloud transformation initiatives by having real-time cost visibility, predictive spend forecasting, and performance insights for their workloads. BigQuery customers can also use Unravel to customize dashboards and alerts with easy-to-use widgets that offer insights on spend, performance, and unit economics.

“As AI continues to drive exponential data usage, companies are facing more problems with broken pipelines and inefficient data processing which slows time to business value and adds to the exploding cloud data bills. Today, most organizations do not have the visibility into cloud data spend or ways to optimize data pipelines and workloads to lower spend and mitigate problems,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “With Unravel’s built-in AI, BigQuery users have data observability and FinOps in one solution to increase data pipeline reliability and cost efficiency so that businesses can bring even more workloads to the cloud for the same spend.” 

“Enterprises are increasingly concerned about lack of visibility into and control of their cloud-related costs, especially for cloud-based analytics projects,” says Kevin Petrie, VP of Research at The Eckerson Group. “By implementing FinOps programs, they can predict, measure, monitor, optimize and account for cloud-related costs related to data and analytics projects.”

At the core of Unravel Data’s platform is its AI-powered Insights Engine, purpose-built for data platforms, which understands all the intricacies and complexities of each modern data platform and the supporting infrastructure to optimize efficiency and performance. The Insights Engine ingests and interprets the continuous millions of ongoing metadata streams to provide real-time insights into application and system performance, and recommendations to optimize costs and performance for operational and financial efficiencies. 

Unravel 4.8.1 includes additional features, such as:

• Recommendations for baseline and max setting for reservations
• Scheduling insights for recurring jobs
• SQL insights and anti-patterns
• Recommendations for custom quotas for projects and users
• Top-K projects, users, and jobs
• Showback by compute and storage types, services, pricing plans, etc.
• Chargeback by projects and users
• Out-of-the-box and custom alerts and dashboards
• Project/Job views of insights and details
• Side-by-side job comparisons
• Data KPIs, metrics, and insights such as size and number of tables and partitions, access by jobs, hot/warm/cold tables

To learn more on how we are helping BigQuery customers optimize their data cost and management, or to partner with Unravel Data, please visit https://www.unraveldata.com/google-cloud-bigquery/.

About Unravel Data

Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. A recent winner of the Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards, some of the world’s most recognized brands like Adobe, Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact

Blair Moreland

ZAG Communications for Unravel Data

unraveldata@zagcommunications.com 

The post Unravel Data Launches Cloud Data Cost Observability and Optimization for Google Cloud BigQuery appeared first on Unravel.

Unravel Data Recognized in Both Augmented FinOps and Data Observability Categories by Gartner

PALO ALTO, CA — July 20, 2023 – Unravel Data, the first data observability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been included as a Sample Vendor in the Gartner^® Hype Cycle for Emerging Technologies in Finance, 2023 for both Augmented FinOps and Data Observability. Aimed at helping Chief Financial Officers (CFOs) identify the top emerging technologies shaping the future of finance, this Hype Cycle offers a 10-year outlook on the most relevant technology and data trends, and provides recommendations for CFOs looking to increase flexibility and resiliency while also increasing productivity and profitability.

As more data workloads move to the cloud, IT and financial leaders must increasingly measure and optimize efficiency (both cost and performance). Both augmented financial operations (FinOps) and data observability are crucial elements to this process, helping organizations maximize the business value of their data. According to the report, “data observability is a technology that supports an organizations’ ability to understand the health of an organization’s data, data pipelines, data landscape, and data infrastructure by continuously monitoring, tracking, alerting and troubleshooting issues to reduce and prevent data errors or system downtime.”

The report further states that Augmented FinOps, “applies the traditional DevOps concepts of agility, continuous integration and deployment, and end-user feedback to financial governance, budgeting and cost optimization efforts. Augmented FinOps automates this process through the application of artificial intelligence (AI) and machine learning (ML) practices — predominantly in the cloud — to enable environments that automatically optimize cost based on defined business objectives expressed in natural language.”

“As enterprises continue to move to the cloud and integrate AI into their everyday business practices, there is more demand than ever for visibility into cloud data spend in order to maximize ROI and the impact of AI on their business,” said Kunal Agarwal, CEO and Co-founder of Unravel Data. “Unravel enables companies to visually see how their cloud data spend is trending for accurate forecasting and provides proactive alerts and guardrails to help govern that spend, as well as AI-driven automated suggestions for maximizing TCO of their cloud data platforms — enabling data-forward companies to lead their markets with their AI initiatives.”

The Unravel Data Platform provides organizations with data observability on data workload spending, and an early warning system for alerting on out-of-control spending, while offering an automated way to pinpoint the source of cost overruns. Unravel Data enables each of the three FinOps phases for modern data platforms, such as Databricks. These include:

• Inform: Unravel provides granular visibility required to manage allocation, consumption efficiency, and charge/showback at the job, user and workgroup levels
• Optimize: Unravel maximizes business impact of available budget and resources by optimizing data workloads to perform to required SLAs at most efficient cost
• Operate: Unravel delivers ongoing, continuous improvement through cost governance and self-service optimization to reliably predict costs and maximize value (ROI)

At the core of Unravel Data’s platform is its AI-powered Recommendation Engine, which understands all the intricacies and complexities of each modern data platform and the supporting infrastructure to optimize efficiency.

For more information on how Unravel Data is helping organizations around the world control cloud costs, please visit https://www.unraveldata.com/platform/finops-data-teams/.

Gartner, Hype Cycle for Emerging Technologies in Finance, 2023, By Mark D. McDonald, Published 11 July 2023

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

About Unravel Data

Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. A recent winner of the Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards, some of the world’s most recognized brands like Adobe, Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact

Blair Moreland

ZAG Communications for Unravel Data unraveldata@zagcommunications.com

The post Unravel Data Named a Sample Vendor in the Gartner^® Hype Cycle™ for Emerging Technologies in Finance, 2023 appeared first on Unravel.

Unravel Data Observability Platform earns prestigious industry recognition for Best Data Tool & Platform

Palo Alto, CA — June 21, 2023 —Unravel Data, the first data observability platform built to meet the needs of modern data teams, was named Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards. The prestigious CODiE Awards recognize the companies producing the most innovative Business Technology products across the country and around the world.

“We are deeply honored to win a CODiE Award for Best Data Tool & Platform. Today, as companies put data products and AI/ML innovation front and center of their growth and customer service strategies, the volume of derailed projects and the costs associated are ascending astronomically. Companies need a way to increase performance of their data pipelines and a way to manage costs for effective ROI,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “The Unravel Data Platform brings pipeline performance management and FinOps to the modern data stack. Our AI-driven Insights Engine provides recommendations that allow data teams to make smarter decisions that optimize pipeline performance along with the associated cloud data spend, making innovation more efficient for organizations.”

Cloud-first companies are seeing cloud data costs exceed 40% of their total cloud spend. These organizations lack the visibility into queries, code, configurations, and infrastructure required to manage data workloads effectively, which in turn, leads to over-provisioned capacity for data jobs, an inability to quickly detect pipeline failures and slowdowns, and wasted cloud data spend.

“The 2023 Business Technology CODiE Award Winners maintain the vital legacy of the CODiEs in spotlighting the best and most impactful apps, services and products serving the business tech market,” said SIIA President Chris Mohr. “We are so proud to recognize this year’s honorees – the best of the best! Congratulations to all of this year’s CODiE Award winners!”

The Software & Information Industry Association (SIIA), the principal trade association for the software and digital content industries, announced the full slate of CODiE winners during a virtual winner announcement. Awards were given for products and services deployed specifically for education and learning professionals, including the top honor of the Best Overall Business Technology Solution.

A SIIA CODiE Award win is a prestigious honor, following rigorous reviews by expert judges whose evaluations determined the finalists. SIIA members then vote on the finalist products, and the scores from both rounds are tabulated to select the winners.

Details about the winning products can be found at https://siia.net/codie/2023-codie-business-technology-winners/.

Learn more about Unravel’s award-winning data observability platform.

About the CODiE Awards

The SIIA CODiE Awards is the only peer-reviewed program to showcase business and education technology’s finest products and services. Since 1986, thousands of products, services and solutions have been recognized for achieving excellence. For more information, visit siia.net/CODiE.

About Unravel Data

Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact

Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

The post Unravel Data Recognized by SIIA as Best Data Tool & Platform at 2023 CODiE Awards appeared first on Unravel.

Hosts Hyderabad’s first-ever conference on DataOps and FinOps, commits to serving the local tech community 

Hyderabad — June 16, 2023 — US-based Unravel Data, the first data observability platform built to meet the needs of modern data teams, today said it is planning to double its Hyderabad headcount in the next year as the company continues to expand and grow its local operations to better serve its customers. 

As a commitment to serving the local tech community in Hyderabad and nearby cities through continuous learning and development opportunities, Unravel today hosted the second Indian edition of its flagship DataOps Observability Conference in Hyderabad. This marked the first-ever conference on this subject ever hosted in the city. Over 200 senior data and technology professionals from data-leading companies attended the conference.

Speaking on the sidelines of the conference, Unravel co-founder and CTO Shivnath Babu said, “Hyderabad is a strategic location for Unravel as many of our customers around the world are relying on their data teams based in Hyderabad to accelerate their business-critical Big Data analytics projects. This is why we are not only committed to growing our team and operations in Hyderabad, but also to serve the local tech community through world-class learning and networking opportunities. Bringing our flagship DataOps Observability conference to Hyderabad within months of opening our office here underscores this commitment.”

Unravel has created the world’s first AI-enabled DataOps Observability Platform to meet the needs of modern data teams. The platform helps businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. The company counts several of the Fortune 500 companies as its clients, including Credit Suisse, Intel, Adobe, DBS Bank, Citi, Novartis, Maersk, and Mastercard, among others. 

Unravel’s VP of Engineering Operations Giriraj Bagdi said, “A majority of modern, data-driven businesses report that their data sources, workloads, and applications have grown exponentially in recent years. Many of them are consequently embracing DataOps Observability as a powerful means of streamlining and optimizing their data pipelines and applications. As pioneers of AI-powered DataOps observability, we are truly excited to share our latest insights and innovations with our tech community in Hyderabad, which is already at the front and center of implementing several of these innovations for businesses around the world.”  

Unravel has over 100 employees in India, out of which 25 are based in Hyderabad. The Second India DataOps Observability Conference has put Hyderabad firmly on the map as a key Asian destination for large global enterprises looking for skills and expertise as they race to prioritize DataOps as an established discipline across their organizations. The conference featured 14 high-profile speakers including Anuj Gupta, Chief Founder & CEO of Gradient Advisors, Snehith Allamraju, Senior Manager for Data and Analytics at Envista Corps, and others. Shivnath Babu delivered the keynote address. 

About Unravel Data

Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

The post Unravel Data to Double Hyderabad Employee Count by Mid-2024 appeared first on Unravel.

Unravel Data Observability Platform recognized by peers as a market leader

Palo Alto, CA — May 11, 2023 — Unravel Data, the first data observability platform built to meet the needs of modern data teams, today announces that the Unravel Data Observability Platform was named a 2023 SIIA CODiE Award Finalist in the Best Data Tool category. CODiE finalists represent the best products, services, and people in the education and business technology industries.

The SIIA CODiE Awards, the long-running, premier awards program for the software and information industries, are produced by the Software & Information Industry Association (SIIA), the principal trade association for the software, education, media, and digital content industries. The Unravel Data Observability Platform was selected as a finalist across dozens of business technology and education technology categories, among hundreds of nominations.

“It is an understatement to say that we are thrilled to be recognized by SIIA CODiE as a finalist,” said Kunal Agarwal, CEO and co-founder, Unravel Data. “The CODiE Awards are one of—if not the—most coveted awards in the industry, and it speaks to the power of the Unravel Platform. Cloud costs, if they aren’t already, are becoming a company’s single biggest and fastest growing IT budget expense. This moves data observability from being a nice-to-have to a must-have. Unravel offers the only platform that provides data teams with AI-powered answers and precise recommendations, making it easier for teams to work together, make smarter decisions, and ultimately optimize cloud data spend.”

Unravel enables data teams to optimize the cost of their data operations intelligently, run faster data pipelines, and troubleshoot mission-critical applications. Instead of just showing an overwhelming set of KPIs that often require domain expertise to discern, Unravel correlates and analyzes a full stack of telemetry metadata to provide easy-to-understand insights, actionable recommendations, and automation to optimize both performance and cost.

Designed for modern data stacks and supporting all major cloud and on-premises platforms, Unravel enables full-stack visibility, AI insights, and automation for modern data applications. It is uniquely suited to remove the blindspots in enterprise data pipelines and provide a single-pane-of-glass view to manage single, multi-, or hybrid-cloud environments. And as more enterprises tackle the challenge of ensuring reliable data results while taming unpredictable costs, the Unravel Platform does the heavy lifting.

“The 2023 CODiE Award finalists highlight the products and people who are out in front, leading their industries forward,” said SIIA President Chris Mohr. “These honorees continue the proud tradition of CODiE Award finalists of recognizing the most impactful products, services, and leaders of their time, setting a foundation for the next generation of innovators. Congratulations to all who received this well-earned acknowledgment.”

The SIIA CODiE Awards are the industry’s only peer-recognized awards program. Finalists are determined by industry experts. CODiE Award winners will be announced during the Virtual Celebrations June 21-22, 2023 at 1pm EST.

Details about each finalist are listed at https://siia.net/codie/celebrate-finalists/.

About the SIIA CODiE Awards
The SIIA CODiE Awards is the only peer-reviewed program to celebrate the vision, talent, and advances in building quality products in the Tech Industry. Since 1986, thousands of products, services and solutions have been recognized for Leading Innovation and Achieving Excellence. For more information, visit https://siia.net/codie/.

About Software and Information Industry Association (SIIA)
SIIA is the only professional organization connecting more than 700 data, financial information, education technology, specialized content and publishing, and connects learners and educators. Our diverse members manage the global financial markets, develop software that solves today’s challenges through technology, provide critical information that helps inform global businesses large and small, and innovate for better communication across the information ecosystem.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

SIIA Communications
codieawards@siia.net

The post Unravel Data Named 2023 SIIA CODiE Award Finalist in Best Data Tool appeared first on Unravel.

Third Annual Survey from Data Teams Summit Event Reveals Key Priorities and Strategies for Enterprise Data Teams in 2023

Palo Alto, CA – April 4, 2023 – Unravel Data, the first data observability platform built to meet the needs of modern data teams, today released key findings from a survey administered to more than 350 data professionals who attended the 2023 Data Teams Summit event in order to gauge the priorities, challenges, and benchmark the progress of enterprise data teams. This year’s survey asked data team stakeholders – including a cross-section of data scientists, data engineers, data analysts and the various business stakeholders who rely upon real-time data insights to inform their decisions – to assess how they are meeting their big data analytics objectives and define the practices they are adopting to conquer the complexities of the modern data stack. To view and download an infographic of the key findings from this survey, click here.

“For the third year in a row we’ve had the opportunity to take the pulse of enterprise data teams to better understand the daily challenges they face as they accelerate their ambitious big data analytics programs,” said Kunal Agarwal, co-founder and CEO of Unravel Data. “In just the course of a year we’ve seen a significant shift in how these growing, cross-functional teams are prioritizing DataOps as an established discipline across their organizations in a similar way that DevOps became an entrenched practice among software teams a decade ago. But despite this progress, this year’s survey also demonstrates that issues like FinOps, cloud utilization, and data security continue to present unique challenges to data teams.”

Some of the key findings collected from the most recent survey include:

• Cloud spending is now a critical KPI for the majority of data teams: More than two-thirds of data teams surveyed said that cloud spending has become a KPI of high strategic importance. When responses were broken down by role, almost 80% of business stakeholders said cloud spending was a critical KPI while just over half (55%) of data practitioners indicated the same.
• Cloud resources are being underutilized: In addition to cloud spending being elevated as a top KPI, almost half (44%) of all respondents in this year’s survey also reported that they believe that they are leaving money on the table when it comes to their public cloud utilization. Alarmingly, almost a quarter of respondents (23%) said they were unable to even estimate what percentage of their cloud resources went unused.
• FinOps interest is high yet adoption lags: Despite the fact that data teams have reported a lack of visibility into cloud spending, the adoption of mature FinOps practice was not viewed as an immediate priority among respondents with just over 20% reporting that their data teams have an established FinOps practice while a third of data teams reported that they are still in the early planning phase of implementing FinOps.
• DataOps as a practice is maturing: This year, more than 44% of respondents reported they are actively employing DataOps methodologies, compared to just less than a quarter (21%) of respondents in 2022, representing a 110% increase from the year prior. Further demonstrating the maturing DataOps practice, only 20% of respondents in this year’s survey said they were at the beginning stage compared to 41% last year.
• Data reliability emerges as the top challenge: This year when participants were asked what they viewed as the top challenge with operating their data stack, 41% respondents cited the lack of data quality as their most significant obstacle while 35% noted that the lack of visibility across their environments was the second biggest obstacle to managing their data stack.

Now in its third year, the Data Teams Summit is a one-day virtual conference that aims to build a vibrant peer-based community for DataOps professionals to share best practices. Data professionals can productively collaborate with one another and deliver on the promise of what it means to be a data-led company. This past year’s event attracted more than 2,300 data professionals and featured presentations from data leaders at some of the most data-forward enterprise organizations in the world. Recordings of all 24 sessions are available to watch for free and on-demand on the Data Teams Summit site at: www.datateamssummit.com.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

Press Contact:
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

The post New Survey Finds Two Thirds of Data Teams Report Cloud Spending as a Critical KPI appeared first on Unravel.

Palo Alto, CA – Jan. 31, 2023 – Unravel Data, the first data observability platform built to meet the needs of modern data teams, announced today that it was recognized as a Representative Vendor in the DataOps Market in the 2022 Gartner Market Guide for DataOps Tools.

“In recent years, organizations have witnessed significant increases in the number of data sources and data consumers as they deploy more applications and use cases. DataOps has risen as a set of best practices and technologies to streamline and efficiently handle this onslaught of new upcoming workloads,” said Sanjeev Mohan, principal with SanjMo. “Just as DevOps helped streamline web application development and make software teams more productive, DataOps aims to do the same thing for data applications.”

According to a Gartner strategic planning assumption from this Market Guide, “by 2025, a data engineering team guided by DataOps practices and tools will be 10 times more productive than teams that do not use DataOps.” In this Market Guide for DataOps Tools, Gartner examines the DataOps market and explains the various capabilities of DataOps tools, paints a picture of the DataOps tool landscape, and offers recommendations.

“Data teams are struggling to keep up with the increased volume, velocity, variety, and complexity of their data applications and data pipelines. These teams are facing many of the same generic challenges that software teams did 10-plus years ago,” said Kunal Agarwal, CEO of Unravel Data. “We’re proud to be recognized by Gartner in the DataOps Market. Unravel Data provides unprecedented visibility across users’ data stacks, proactively troubleshooting and optimizing data workloads, and defining guardrails to govern costs and improve predictability.”

Today’s modern data stack is a complex collection of different systems, platforms, technologies, and environments. Enterprises need a DataOps solution that works with every type of workload and addresses the performance, cost, and quality issues facing data teams today. Founded by data pioneers Kunal Agarwal and Dr. Shivnath Babu, Unravel Data was created on the notion that the exponential growth of data combined with the broad adoption of the public cloud requires an entirely new way to manage and optimize the data pipelines that support the real-time analytics needs of data-driven enterprises.

Customers who have deployed the Unravel platform have been able to double the productivity of data teams and ensure that data applications run on time, while scaling costs efficiently in the cloud. To learn more about how Unravel is leading the DataOps observability space, visit the new library of demonstration videos.

*Gartner, “Market Guide for DataOps Tools”, December 5, 2022.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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Unravel Data Joins FinOps Foundation to Help Companies Accelerate Cloud Data Cost Optimization Using AI

Palo Alto, CA – Jan. 18, 2023 – Unravel Data, the first data observability platform built to meet the needs of modern data teams, announced today that it has become a General Member of the FinOps Foundation to help organizations optimize their cloud data costs and implement cost governance for their modern data stacks using AI insights.

“Companies today are faced with a myriad of challenges, not the least of which is controlling and governing their data cloud costs. Many are discovering how quickly cloud spend can spiral out of control, and as a result many data modernization projects are stalling out. Using the FinOps Framework, however, enables organizations to make better choices about their cloud usage and derive the biggest return on their modern data stack investments,” said Kunal Agarwal, CEO of Unravel Data. “Empowering our customers with AI insights to optimize cloud spending and accelerate their digital transformation is paramount, and so we are excited to be joining the FinOps Foundation to further this goal.”

The practice of FinOps, with its collaborative and iterative approach to observability, optimization, and governance can help data teams increase the return on their modern data stack investments by proactively spotting opportunities for efficiency, adding alerts, and automating guardrails. Moreover, through FinOps, data teams can boost data performance, prioritize areas to improve, enable self service, and even automate financial processes to streamline the time and effort required to manage these tasks.

“We are excited to welcome Unravel Data to the foundation. As a leading advocate for tighter integration between data, observability, and FinOps teams, Unravel will bring new ideas and approaches to the practice of managing cloud spend,” said Kevin Emamy, Partner Program Advisor at the FinOps Foundation. “The entire FinOps Foundation community will benefit from their experiences and lessons learned in this new and emerging facet of FinOps.”

Those interested in learning more about how a FinOps approach empowers DataOps and business teams to collaboratively achieve shared business goals are invited to attend the virtual Data Teams Summit session, Maximize Business Results with FinOps, on Jan. 25, 2023. During this session, Clinton Ford, director of product marketing for Unravel, and Thiago Gil, FinOps Foundation ambassador, will address how organizations can apply agile and lean principles using the FinOps framework to boost efficiency, productivity, and innovation throughout their data stack. Learn more or register for the summit.

The FinOps Foundation, part of The Linux Foundation’s non-profit technology consortium, is focused on advancing the people and practice of cloud financial management through education, best practices, and standards.

To learn more about how Unravel is leading the data observability space, visit the new library of self-guided tours.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

About the FinOps Foundation
The FinOps Foundation (F2) is a non-profit trade association made up of FinOps practitioners around the world including Atlassian, Autodesk, Gannett, HERE Technologies, Just Eat, Nationwide and Spotify. Grounded in real world stories, expertise, and inspiration for and by FinOps practitioners, the FinOps Foundation is focused on codifying and promoting cloud financial management best practices and standards to help community members and their teams become better at cloud financial management.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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Palo Alto, CA – Jan. 12, 2023 – Unravel Data, the first DataOps observability platform built to meet the needs of modern data teams, today announced that Zia Mansoor has joined the company’s Board of Directors. Mansoor currently serves as Microsoft’s Vice President of Data & AI, and has extensive expertise in go-to-market strategy and providing product and solution leadership across operational database, analytics, AI/Machine Learning, data governance, and business intelligence solutions.

“We are excited to welcome Zia to our Board. He’s had tremendous success enabling customers to build efficient and scalable solutions while instilling a strong data culture within organizations. His appointment reflects our strong relationship with M12, Microsoft’s venture fund, a key investor in Unravel,” said Kunal Agarwal, CEO of Unravel Data. “We look forward to working together as Unravel continues to help organizations efficiently deliver data outcomes and effectively control skyrocketing cloud compute and storage costs.”

Mansoor has held various positions at Microsoft for the last 15 years. Prior to his current role leading Worldwide Data and AI commercial business, he led Microsoft Canada’s largest team of technical professionals as Vice President of Customer Success. Mansoor has helped numerous organizations accelerate their journey to the cloud and realize potential across all Microsoft commercial solution areas, including Modern Workplace, Azure (App Development and Infrastructure, Data and AI), Business Applications, and Security.

“I am excited to work with Unravel Data, which has proven itself to be a fast-growing data observability company. Alongside my fellow advisors, I look forward to helping drive innovation in its data operations solutions. I have long admired the team, their work, and how they are leveraging AI to meet the growing opportunities for the modern data stack,” said Mansoor.

Founded by data pioneers Kunal Agarwal and Dr. Shivnath Babu, Unravel Data understands that the exponential growth of data combined with the broad adoption of the public cloud requires an entirely new way to manage and optimize the data pipelines that support the real-time analytics needs of today’s data-driven enterprises. Numerous Fortune 100 companies, including two of the top five global pharmaceutical companies and three of the top 10 financial institutions in the world, rely on Unravel Data to gain unprecedented visibility across their data stacks, proactively troubleshoot and optimize their data workloads, and define guardrails to govern costs and improve predictability. Customers who have deployed Unravel have been able to double productivity of data teams and ensure data applications run on time, while scaling costs efficiently in the cloud.

To learn more about how Unravel is leading the DataOps observability space, visit the
new library of demonstration videos.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading DataOps observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

The post Microsoft Exec Zia Mansoor Joins Unravel Data Board of Directors appeared first on Unravel.

Palo Alto, CA – January 5, 2023 – Unravel Data, the first DataOps observability platform built to meet the needs of modern data teams, today announced that CEO and co-founder Kunal Agarwal will deliver the keynote in the upcoming virtual Data Teams Summit 2023, which will take place on Jan. 25, 2023.

Great data outcomes depend on successful data teams. Every day, data teams deal with hundreds of different problems arising from the volume, velocity, variety—and complexity—of the modern data stack. In his keynote, Winning Strategies to Unleash Your Data Team, Agarwal discusses best practices and winning strategies about what works (and what doesn’t) to help data teams tackle the top day-to-day challenges and unleash innovation. Agarwal will be joined by Sanjeev Mohan, principal, SanjMo and Benjamin Rogojan, owner & data consultant, Seattle Data Guy at the keynote.

Clinton Ford, director of product marketing for Unravel, is also presenting at the event and will speak to how a FinOps approach empowers DataOps and business teams to collaboratively achieve shared business goals. In the session Maximize Business Results with FinOps, Ford, along with Thiago Gil, FinOps Foundation ambassador, will address how organizations can apply the FinOps framework to get the biggest return on their modern data stack investments.

WHAT: Data Teams Summit (formerly DataOps Unleashed)
WHEN: Wednesday, Jan. 25, 2023
ATTENDEE REGISTRATION: Data Teams Summit Registration

To learn more about how Unravel is leading the DataOps observability space, visit the new library of demonstration videos. To register for the Data Teams Summit, visit https://datateamssummit.com.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading DataOps observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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Keith Roseland-Barnes Joins Unravel Data as Chief Revenue Officer

Palo Alto, CA – December 1, 2022 – Unravel Data, the first DataOps observability platform built to meet the needs of modern data teams, today announced that Keith Roseland-Barnes has joined the company as its new Chief Revenue Officer. In this new role, he will lead the go-to-market strategy for sales, solution engineering, and the channel. The addition of Roseland-Barnes follows the company’s recent announcements of Series D funding and Ravi Vedantam joining as Vice President, Global Partnerships.

“Data teams across organizations in every industry are looking to evolve from legacy data technologies and get more out of the data they have. They need to optimize cost and performance to efficiently deliver data outcomes and effectively manage the limitless rise in cloud compute and storage costs,” says Kunal Agarwal, CEO of Unravel Data. “Keith has spent most of his 20+ year career in technology sales leadership and has gone from traditional data to AI/ML and now to cloud and DataOps. He’s the perfect person to help lead our team as we continue to grow and enable companies to drive more value from internal and external data.”

Roseland-Barnes brings more than 20 years of technology sales, operations, and leadership experience, including roles at DataRobot, Cloudera, Hortonworks, and Oracle. He has a strong track record of helping customers overcome complex data challenges, establishing and delivering on their objectives, and building strong relationships. He has consistently exceeded revenue targets through negotiating high-value contracts and structuring multimillion-dollar deals across new and existing customers all around the world.

“After spending more than a decade in the traditional data, big data, and data science arenas, it felt like the right time for me to shift to DataOps observability, as enterprises continue to be overwhelmed by the number of data pipelines in their environments,” said Roseland-Barnes. “Founders Kunal Agarwal and Dr. Shivnath Babu had the foresight to realize that the exponential growth of data combined with the broad adoption of the public cloud would require an entirely new way of managing and optimizing data pipelines. I’m excited to be part of this growing team and the DataOps observability space.”

Numerous Fortune 100 companies, including two of the top five global pharmaceutical companies and three of the top 10 global financial institutions, trust Unravel Data for unprecedented visibility across their data stacks, proactively troubleshoot and optimize their data workloads, and define guardrails to govern costs and improve predictability. Customers who have deployed the Unravel platform have been able to double their data teams’ productivity and ensure data applications run on time while efficiently scaling cost on the cloud. Unravel delivers these benefits to its customers by collaborating closely with its partners, helping each customer drive cloud adoption and cloud migration with a plan to identify efficiencies and provide ongoing governance.

To learn more about how Unravel supports a wide variety of daily observability challenges, visit the new library of quick demonstration videos.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading DataOps observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

The post Keith Roseland-Barnes Joins Unravel Data as CRO appeared first on Unravel.

Unravel Data Accelerates DataOps Time to Value with Launch of its 2022 Fall Release

Latest Edition of the Unravel Platform Includes BigQuery Support and Cost 360 for Amazon EMR to Help Customers Optimize the Cost, Efficiency, and Performance of their Data Applications

Palo Alto, CA – Nov 9, 2022 – Unravel Data, the first DataOps observability platform built to meet the needs of modern data teams, today announced the general availability of its 2022 Fall Release of the Unravel Platform. With this new release, users of the Unravel Platform are now able to leverage several new capabilities including support for Google Cloud BigQuery and Cost 360 for Amazon EMR. These new capabilities are designed to help users boost the efficiency of their public cloud spend, simplify troubleshooting across their big data ecosystem, and improve the overall performance of their business-critical data applications.

“Data teams have a clear mandate to ensure that the data pipelines that support their data analytics programs are fully optimized, running efficiently and staying within budget. However, given the complexity of their data ecosystem, getting answers about the health and performance of their data pipelines is harder than ever,” said Kunal Agarwal, founder and CEO of Unravel Data. “Whether they’re migrating more workloads to platforms like BigQuery or Amazon EMR or already running it as part of their data ecosystem, enterprise data teams are struggling to control costs and accurately forecast their resource requirements that are ultimately impacting their ability to execute on their strategic data analytics initiatives. With this latest edition, Unravel customers will be better able to gain the full-stack observability they need to optimize performance and manage their costs according to budget.”

Some of the new capabilities in the Fall Edition of the Unravel Platform include:

• Full Cost Governance for Amazon EMR: With Unravel’s new ‘Cost 360 for Amazon EMR’ capability, customers can enjoy full visibility and gain critical insights into their spending on Amazon EMR. A new cost page has been added that enables customers to observe their EMR cost and usage trends and identify anomalies, slice and dice chargeback views with a variety of filters, and actively monitor costs against user-defined budgets that can automatically trigger warnings if costs are projected to exceed predefined thresholds.
• Advanced EMR Cluster Management: To streamline the management of EMR clusters, a new Clusters page is available inside the Unravel UI for Amazon EMR, allowing users to actively monitor all their EMR clusters and cost data from a single location. The Clusters page also helps users quickly visualize, debug, and troubleshoot issues at both the cluster and application levels.
• Unified View into BigQuery Deployments: Unravel enables customers to now view all information about any number of Google Cloud Platform projects and all BigQuery queries in these respective projects from a single interface. Key performance indicators and metadata are collected for every query. The new edition now supports advanced relevance-based ranked search, faceted search based on metadata and performance indicators, time-based search, as well as drill downs into the individual query level.
• Enhancements for Databricks: When scheduling a job to extract metadata from Databricks, Unravel users can now specify multiple database names and can extract up to 25,000 Delta tables in a single job. Other Databricks enhancements include custom pricing for workload and tier combinations, APIs to detect anomalies and metrics, as well as the ability to encrypt passwords and tokens to harden application security.

More than 20 enterprise companies in the Fortune 100, including two of the top five global pharmaceutical companies and three of the top 10 financial institutions in the world, today rely on Unravel Data to gain unprecedented visibility across their data stacks, proactively troubleshoot and optimize their data workloads, and define guardrails to govern costs and improve predictability.

Data teams are invited to sign up for a free trial of the Unravel Platform at: https://www.unraveldata.com/create-account/

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading DataOps observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51 (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

The post Unravel Data Accelerates DataOps Time to Value appeared first on Unravel.

Unravel Data to Host India’s First DataOps Observability Conference in Bangalore

The day-long conference on Friday, October 14, will decode DataOps observability and showcase the latest trends and developments in observability

October 12, 2022, Bangalore: Unravel Data, the first DataOps observability platform built to meet the needs of modern data teams, today announced that it is hosting India’s first DataOps Observability Conference on Friday, October 14, 2022 in Bangalore. The day-long conference is hosted in partnership with JetBrains and The Fifth Elephant. Hundreds of data engineers, data leaders, architects, and operations engineers from leading technology companies will be attending the conference.

DataOps and observability are two of the biggest trends in modern data management. This first-of-its-kind conference dedicated to these trends will explain why DataOps observability has become a mission-critical requirement for managing modern data stacks.

The conference will feature leading data professionals from companies like Uber, Dell Technologies, Infosys and Intuit as speakers. The agenda for the event includes panel discussions and talks on managing the modern data stack and applying DataOps observability to all data and analytics use cases.

Dr. Shivnath Babu – co-founder and CTO of Unravel Data will deliver the keynote address at the event. Industry experts who will be speaking on DataOps are Anuj Gupta – chief AI officer at Vahan Inc, Atri Sharma – Senior Staff Engineer at Uber, Sona Samad, Staff Engineer at Intuit and Pallavi Angraje – Software Engineer at Intuit. A Panel discussion on “DataOps Observability: Old Wine in a New Bottle or the Next Big Thing?” will be hosted by Dr. Shivnath Babu. The panelists include Govinda Sambamurthy – Head Of Engineering, Enterprise Data Portability at Atlassian, Akhila Prabhakaran – Consultant Data Scientist at Dell and Giriraj Bagdi – VP Engineering Operations, Data/AI Platform at Unravel.

“We are excited to host the first ever DataOps Observability Conference for data leaders and professionals in India and demonstrate the different aspects of DataOps observability, including application and pipeline performance, operational observability into how the entire platform or system is running end-to-end, and business observability aspects such as ROI and—most significantly—FinOps insights to govern and control escalating cloud costs,” said Shivnath.

Unravel Data estimates that data engineers and operations teams spend around 70-75% of their time tracking down and resolving problems through manual detective work and time-consuming trial and error. Further, as more workloads migrate to the cloud, team leaders are finding that costs are getting out of control—often leading to migration initiatives stalling out completely because of budget overruns.

“Data is eating the world, but complexity is eating data teams who are struggling with cloud costs, pipeline performance, and data quality issues. True DataOps observability can empower these teams to easily tackle even the most complex modern data stack challenges, so they can spend more time on innovation and less time troubleshooting issues,” Shivnath added.

Unravel’s DataOps Observability Platform extracts, correlates, and analyzes information from every system in the modern data stack, within and across some of the most popular data ecosystems. The platform is designed to show data application and pipeline performance, cloud costs, and quality; and proactively suggests precise, prescriptive fixes to quickly and efficiently solve problems. The AI-powered solution helps enterprises realize greater return on their investment in the modern data stack by delivering faster troubleshooting, better performance to meet service level agreements, self-service features that allow applications to get out of development and into production faster and more reliably, and reduced cloud costs.

Data teams can preview how Unravel supports a wide variety of daily observability challenges by viewing the new library of quick demonstration videos on YouTube here.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading DataOps Observability Platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51 (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

Media Contact
Bhawana Singh
+917204277001
bhawanas@evoc.in

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Unravel Data Raises $50 Million Series D Funding to Accelerate the Next Generation of DataOps Observability

Third Point Ventures Leads Round to Enable Enterprises to
Unleash the Potential of the Modern Data Stack

Palo Alto, CA – September 27, 2022 – Unravel Data, the first DataOps observability platform built to meet the needs of modern data teams, today announced that it has closed a $50 million Series D round of funding to accelerate the next generation of DataOps observability. The round was led by Third Point Ventures, with participation from Bridge Bank and existing investors that include Menlo Ventures, Point72 Ventures, GGV Capital, and Harmony Capital, bringing the total amount of funding raised by Unravel Data to $107 million.

The investment comes as large enterprises face the challenge of operating an overwhelming number of data pipelines that are being used for data products, advanced modeling, and business-critical reporting, and at a time where the complexity of data systems is heightened by the shift to multi-cloud strategies and burdened by over-provisioned environments. As a result, data teams are struggling to deliver data outcomes in the time-efficient manner required and effectively manage the limitless rise in cloud compute and storage costs.

Unravel Data will use the investment to extend the Unravel Platform to help connect the dots from every system in the modern data stack within and across the most popular data ecosystems, including Databricks, Snowflake, Amazon EMR, BigQuery, and Dataproc. As the number of systems and data pipelines escalate, an entirely new way to manage and optimize the data pipelines that support the real-time analytics ambitions of the data-driven enterprise is needed.

“The DataOps observability market is poised to explode as enterprises invest in building data products that increase customers, revenue, and efficiencies,” said Curtis McKee, Partner at Third Point Ventures. “We’re excited to partner with Unravel Data, as the company has paved the way and established a proven track record of success helping some of the world’s most recognized brands simplify their data operations so they can bring new data-driven innovations to market.”

“Data engineers and data scientists currently spend more than half their day debugging and troubleshooting issues on the thousands of data pipelines in their environment,” said Kunal Agarwal, CEO of Unravel Data. “Just as the DevOps market united the practice of software development and operations a decade ago to transform the application lifecycle, data teams require the same kind of full-stack visibility, automation, and actionable intelligence that meet their needs around data pipeline performance, cost, and quality.”

Founded by Big Data pioneers Kunal Agarwal and Dr. Shivnath Babu, Unravel Data was born from the realization that the exponential growth of data combined with the broad adoption of the public cloud would require an entirely new way to manage and optimize the data pipelines that support the real-time analytics ambitions of the data-driven enterprise. Numerous Fortune 100 companies, including two of the top five global pharmaceutical companies and three of the top 10 financial institutions in the world, rely on Unravel Data to gain unprecedented visibility across their data stacks, proactively troubleshoot and optimize their data workloads, and define guardrails to govern costs and improve predictability. Customers who have deployed Unravel have been able to double productivity of data teams and ensure data applications run on time, while being able to scale cost efficiently on the cloud.

“At 84.51 (a Kroger company), we leverage cutting-edge data science and advanced analytics to create highly personalized experiences for millions of consumers. Our ability to proactively monitor the performance, cost, and quality of our data pipelines is foundational to our mission,” said Jeff Lambert, VP of Data Solutions at 84.51°, the wholly owned subsidiary of Kroger, the largest grocery chain in America. “Unravel enables us to see across our entire data environment, enabling our team to quickly understand which workloads are running well and which ones are having issues, and make recommendations on how we can fix the problems.”

As part of the new funding, Curtis McKee, Partner at Third Point Ventures, will be joining Unravel Data’s Board of Directors.

To learn more about how Unravel Data is helping data teams tackle some of today’s most complex big data challenges, visit: www.unraveldata.com. DataOps teams can preview how Unravel supports a wide variety of daily observability challenges by viewing the new library of quick demonstration videos on YouTube here.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading DataOps observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51 (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

The post Unravel Data Raises $50 Million Series D Funding appeared first on Unravel.

Benchmarked Survey from 2022 DataOps Unleashed Event Highlights the Key Priorities and Pressing Challenges Facing the Burgeoning DataOps Market

Palo Alto, CA – April 14, 2022 – Unravel Data, the only data operations platform providing full-stack visibility and AI-powered recommendations to drive more reliable performance in modern data applications, today released key findings from a survey administered to several hundred attendees at the most recent DataOps Unleashed event in order to gauge the priorities, challenges, and progress of leading data teams as they seek to modernize their big data management and analytics capabilities so they can fully realize their real-time data analytics ambitions. To view and download an infographic of the key findings from this survey, click here.

“Data is the lifeblood of the modern enterprise and those organizations who have dedicated the resources and budget to modernizing their data stacks are the ones who will be best positioned to drive innovations in the coming decade,” said Kunal Agarwal, co-founder and CEO of Unravel Data. “The results of this latest survey show just how complex the modern data stack has become and illustrates the many unanticipated challenges that come with efficiently managing and optimizing data pipelines across multiple public cloud providers and platforms. It also serves to validate that there is an obvious demand for a purpose-built solution that can help these teams gain the critical visibility they need to drive the most value from their data operations.”

Some of the key findings collected from the most recent survey, which benchmarks responses from the year prior, include:

• DataOps as a practice is hitting an inflection point: There was an almost 80% increase from the year prior of respondents who said they are in the active stage of adopting a formal DataOps approach to manage and optimize their data pipelines. This year, more than 41% of attendees reported they are actively employing DataOps methodologies, compared to just less than a quarter (24%) in 2021.
• Visibility into data pipelines remains the top challenge: For the second year in a row, when participants were asked what they viewed as the top challenge with operating their data stack, respondents cited the lack of visibility across their environment as their most significant obstacle. Whereas in the previous year respondents reported that “controlling runaway costs” was the second biggest, this year the “lack of proactive alerts” was noted as the second most challenging aspect.
• Complexity of cloud migrations is more time consuming than previously thought: Sixty percent of respondents from this year’s event estimated that their cloud migration project would take between 12-24 months, representing a 150% increase over the prior year’s projection. The challenge of forecasting the duration of these cloud migration initiatives reveals the vast amount of complexity and uncertainty that data teams face when attempting to map out these critical projects.
• Automation continues to be a key driver: When asked about the role of automation in managing their DataOps pipelines, three in four DataOps professionals in both years reported that the ability to “automatically test and verify before moving jobs/pipelines to production” was the most important automation priority when compared to other aspects such as automating troubleshooting of platform or pipeline issues.
• Data teams spend more time building than deploying/managing pipelines: For both years, data professionals reported that they spent the majority of their day building their data pipelines (39% in 2021 and 43% in 2022). In 2022, respondents reported spending slightly less time maintaining or troubleshooting their pipelines (30%) than the year prior (34%) while the time spent deploying data pipelines remained the same at 27% for both years.

Now in its second year, DataOps Unleashed is a one-day virtual conference underwritten by Unravel Data, that seeks to build a vibrant peer-based community for DataOps professionals to share best practices. Data professionals can productively collaborate with one another and deliver on the promise of what it means to be a data-led company. This past year’s event attracted more than 2,300 data professionals and featured presentations from data leaders at some of the most data-forward enterprise organizations in the world, including AWS, DBS, Google, Johnson & Johnson, and many others. Recordings of all 20 sessions are available to watch for free and on-demand on the DataOps Unleashed site at: www.dataopsunleashed.com.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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Unravel Data Unveils Most Advanced AI-Powered DataOps Observability Platform with Launch of its 2022 Winter Release

New edition enables data professionals to gain end-to-end visibility and more effectively optimize cost and performance of modern data stack

Palo Alto, CA – March 1, 2022 – Unravel Data, the only data operations platform providing full-stack visibility and AI-powered recommendations to drive more reliable performance in modern data applications, today announced the general availability of its 2022 Winter Release of the Unravel Platform. With this new release, users of Unravel will be able to leverage AI-driven enhancements that reduce the complexity of their data pipelines, control cloud utilization costs for data applications, and realize faster time-to-value for data cloud migrations. More than 20 Fortune 100 brands, including two of the top five global pharmaceutical companies and three of the top 10 financial companies in the world, rely on Unravel to simplify the complexities of their modern data operations.

“Every company is a data company. However, the complexity of the modern data stack requires a completely new and intentional approach – one that can move at the speed and scale that today’s real-time enterprise demands,” said Kunal Agarwal, founder and CEO of Unravel Data. “With this latest release, Unravel enables organizations to accelerate their cloud data migration initiatives with unmatched performance and reliability. The insights delivered by the Unravel platform also enable our customers to gain a more complete understanding of their cloud costs, delivering on our promise to radically simplify data operations”.

Traditional observability platforms were not designed to meet the advanced requirements and complexity of modern data stacks. According to a recent 451 Research report, the lack of observability into cloud data costs means enterprises are leaving an estimated “$24 billion in cost savings on the table” and that with improved cost governance and observability capabilities, they could potentially realize “massive savings of 62% by mixing and matching cloud services across environments.”

Users of the Winter Edition of the Unravel Platform will realize some of the following key benefits:

• Improved Cost Optimization and Utilization for Databricks: With Unravel’s new ‘Cost 360 for Modern Data Stack’ module, customers can achieve a unified view of their data cloud utilization costs and drive greater predictability into their budgeting process. The new Winter Release supports full cost observability, budgeting, forecasting and optimization on Databricks with plans to roll out improved cost optimization support for other cloud platforms in future editions.
• Deep Observability for Google Cloud: Unravel users can now gain unprecedented visibility into their Google Cloud Dataproc and Google Cloud BigQuery environments, enabling them to visualize cluster resources, jobs and stages in Dataproc and improve the performance and troubleshooting of their BigQuery applications and infrastructure.
• Broader Coverage of Modern Data Stacks: The latest edition features integrated support for Databricks Delta Lake and Amazon EMR to support cluster cost optimization and chargebacks, as well as support for GCP Dataproc and BigQuery managed Spark and Hadoop instances.
• Simplified Cloud Data Migrations: Unravel helps IT leaders assess and mitigate the various risk factors inherent in complex cloud data migrations by providing data teams with unprecedented visibility across their entire data stack. Intelligence gathered from Unravel also helps decision makers rationalize their costs, work efforts, dependencies, and which data workloads should be prioritized for the migration.

Modern data teams are invited to create a free account here.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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Company Named as One of the “Coolest Data Management Vendors in 2021”

Palo Alto, CA – May 6, 2021 — Unravel Data, the only data operations platform providing full-stack visibility and AI-powered recommendations to drive more reliable performance in modern data applications, announced today that CRN, a brand of The Channel Company, has recognized Unravel Data on its 2021 Big Data 100 list. This annual list recognizes the technology vendors that deliver outstanding, innovation-driven products and services for solution providers, who in turn help enterprise organizations better manage and utilize the massive amounts of data that large businesses generate.

A team of CRN editors compiled this year’s Big Data 100 list by identifying IT vendors that have consistently made technical innovation a top priority through their offering of products and services. Unravel Data has been named as one of the “Coolest Data Management and Integration Software Companies” for 2021. Other categories recognized by CRN include business analytics, systems and platforms, database systems, and data science and machine learning. Over the years, the Big Data 100 list has become an invaluable resource for solution providers that trust CRN to help them find vendors that provide crucial solutions for use in data intelligence, insights, and analytics.

Unravel Data removes the blind spots in enterprise data pipelines, providing full-stack visibility and AI-powered recommendations that drive more reliable performance for modern data applications, in the cloud, across clouds, and on-premises. More than 20 Fortune 100 brands rely on Unravel Data to modernize their DataOps systems, proactively monitor the performance of their big data applications, and unleash the power of their data applications, so they can act intelligently and decisively on insights derived from their data.

“IT vendors featured on CRN’s 2021 Big Data 100 list have demonstrated a proven ability to bring much-needed innovation, insight, and industry expertise to the solution providers and customers that need it most,” said Blaine Raddon, CEO of The Channel Company. “I am honored to recognize these companies for their unceasing commitment toward elevating and improving the ways businesses gain value from their data.”

“It’s truly an honor for Unravel Data to be included by CRN on their 2021 Big Data 100 list, alongside iconic technology vendors in one of the fast-growing segments of the enterprise software market,” said Kunal Agarwal, founder and CEO of Unravel Data. “We started Unravel Data with an ambitious mission: to empower organizations to unleash innovation by modernizing how they manage and optimize their data operations. This mission continues to serve as our guiding principle, and we remain committed to transforming the DataOps category.”

The 2021 Big Data 100 list is available online at www.CRN.com/BigData100.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

About The Channel Company®
The Channel Company enables breakthrough IT channel performance with our dominant media, engaging events, expert consulting and education, and innovative marketing services and platforms. As the channel catalyst, we connect and empower technology suppliers, solution providers, and end users. Backed by more than 30 years of unequaled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelco.com

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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Palo Alto, CA — January 12, 2021 — Credit Suisse today named five winners of its 2021 Disruptive Technology Recognition (DTR) Program, an annual program that highlights some of the best disruptors of traditional enterprise information technology. The program gives a chance for participants to collaborate to promote innovation at the bank and partner firms.

This is the third year of the program, which allows Credit Suisse to exchange ideas and philosophies with companies leading technology changes that will disrupt the existing framework and shape the future for businesses across the spectrum.

“We saw last year’s winners have a significant impact across industry verticals, and we expect this year’s nominees to follow in these big footsteps. We have high expectations for the new award nominees as we take the DTR program into 2021 and are excited to see how they will raise the bar for the future of enterprise technology,” said Laura Barrowman, Group Information Officer for Credit Suisse.

Credit Suisse partners with technology companies in all stages of business. The bank has found the DTR Program helps foster a closer partnership with companies to actively drive change through advances in enterprise technology.

This year’s DTR Program partners are:

AttackIQ equips cybersecurity teams with a Security Optimization Platform for automating security control validation, improving security program effectiveness, and using insights to make better decisions.

Immuta provides an Automated Data Governance platform that powers compliant BI, analytics and data science for data-driven organizations by automating data access control and privacy protections.

MURAL is a digital workspace for visual collaboration, helping enterprise teams imagine together from anywhere to unlock new ideas, solve hard problems, and innovate faster using its inclusive, simple-to-use platform.

Unravel Data radically simplifies DataOps by providing unified observability and AI-enabled operations across the modern data stack, allowing data teams to run their data pipelines reliably and cost-effectively in all cloud environments.

WalkMe is a code-free software that enables organizations to measure, drive, and act to ultimately maximize the impact of their digital transformation and accelerate the return on their software investment.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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New Offering Accelerates Unravel’s Mission to Support Big Data Workloads Wherever they Reside, Including on-Premises, Public Cloud, Multiple Cloud and Hybrid Environments

PALO ALTO, CALIFORNIA – May 27, 2020 – Unravel Data, the only data operations platform providing full-stack visibility and AI-powered recommendations to drive more reliable performance in modern data applications, today announced Unravel for AWS Databricks, a solution to deliver comprehensive monitoring, troubleshooting, and application performance management for AWS Databricks environments. Unravel for AWS Databricks leverages Unravel’s AI-powered data operations platform to accelerate performance of Spark on AWS while providing unprecedented visibility into runtime behavior, resource usage, and cloud costs.

“As business needs evolve, data workloads are moving to a growing variety of settings, stretching across on-prem environments, public clouds, multiple clouds and a hybrid mix of all of these. It’s important that organizations can get the same performance, reliability and value out of their data applications no matter where they are,” said Kunal Agarwal, CEO, Unravel Data. “Unravel for AWS is our latest effort to expand the platform to accommodate Big Data wherever it exists. With this addition, Unravel now supports Databricks in both AWS and Azure, and the Unravel platform is broadly available in every major public cloud as well as on-premises and in hybrid settings. We were always committed to being infrastructure-agnostic and this is another milestone in that mission.”

The announcement is the latest development in a long relationship between Unravel and AWS. Unravel already supports Amazon EMR, as well as Cloudera/Hortonworks on IaaS for AWS. This release provides further support for customers deploying modern data apps on AWS. In addition, Unravel is an existing member of the AWS Partner Network and member of AWS global startup program.

AWS Databricks is a unified data analytics platform for accelerating innovation across data science, data engineering, and business analytics, integrated with AWS infrastructure. Unravel for AWS Databricks helps operationalize Spark apps on the platform: AWS Databricks customers will shorten the cycle of getting Spark applications into production by relying on the visibility, operational intelligence, and data driven insights and recommendations that only Unravel can provide. Users will enjoy greater productivity by eliminating the time spent on tedious, low value tasks such as log data collection, root cause analysis and application tuning.

Key features of Unravel for AWS Databricks include:

• Application Performance Management for AWS Databricks – Unravel delivers visibility and understanding of Spark applications, clusters, workflows, and the underlying software stack
• Automated root cause analysis of Spark apps – Unravel can automatically identify, diagnose, and remediate Spark jobs and the full Spark stack, achieving simpler and faster resolution of issues for Spark applications on AWS Databricks clusters
• Comprehensive reporting, alerting, and dashboards – AWS Databricks users can now enjoy detailed insights, plain-language recommendations, and a host of new dashboards, alerts, and reporting on chargeback accounting, cluster resource usage, Spark runtime behavior and much more

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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PALO ALTO, Calif. – February 25, 2020– Unravel Data, the only data operations platform providing full-stack visibility and AI-powered recommendations to drive more reliable performance in modern data applications, introduced new migration, cost analytics and architectural mapping capabilities for Unravel for Azure Databricks, which is now generally available from Unravel and in the Azure Marketplace. The move further solidifies Unravel’s mission to support modern data workloads wherever they exist, whether on-premises, in the public cloud or a hybrid setting.

“With more and more big data deployments moving to the public cloud, Unravel has spent the last several years helping to simplify the process of cloud migration as well as improving the management and optimization of modern data workloads once in the cloud. We have recently introduced platforms for all major public cloud platforms,” said Bala Venkatrao, Chief Product Officer, Unravel Data. “This release, highlighted by the industry’s only slice and dice migration capabilities, makes it easier than ever to move data workloads to Azure Databricks, while minimizing costs and increasing performance. The platform also allows enterprises to unify their data pipelines end-to-end, such as Azure Databricks and Azure HDInsight.”

Unravel for Azure Databricks delivers comprehensive monitoring, troubleshooting, and application performance management for Azure Databricks environments. The new additions to the platform include:

• Slice and dice migration support – Unravel now includes robust migration intelligence to help customers assess their migration planning to Azure Databricks in version 4.5.5.0. Slice and dice migration support provides impact analysis by applications and workloads. It also features recommended cloud cluster topology and cost estimates by service-level agreement (SLA), as well as auto-scaling impact trend analysis as a result of cloud migration.
• Cost analytics – Unravel will soon add new cost management capabilities to help optimize Azure Databricks workloads as they scale. These new features include cost assurance, cost planning and cost forecasting tools. Together, these tools provide granular detail of individual jobs in Azure Databricks, providing visibility at the workspace, job, and job-run level to track costs or DBUs over time.
• Detailed architectural recommendations: Unravel for Azure Databricks will soon include right-sizing, a feature that recommends virtual machine or workload types that will achieve the same performance on cheaper clusters.

Unravel for Azure Databricks helps operationalize Spark apps on the platform: Azure Databricks customers can shorten the cycle of getting Spark applications into production by relying on the visibility, operational intelligence, and data driven insights and recommendations that only Unravel can provide. Users enjoy greater productivity by eliminating the time spent on tedious, low value tasks such as log data collection, root cause analysis and application tuning.

In addition to being generally available directly from Unravel, Unravel for Azure Databricks is also available on the Azure Marketplace, where users can try a free trial of the platform and get $2000 in Azure credits. Cloud marketplaces are quickly becoming the preferred way for organizations to procure, deploy and manage enterprise software. Unravel for Azure Databricks on Azure Marketplace offers one-click deployment of Databricks performance monitoring and management in Azure.

About Unravel Data
Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Some of the world’s most recognized brands like Adobe, 84.51˚ (a Kroger company), and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to market. To learn more, visit https://www.unraveldata.com.

Media Contact
Blair Moreland
ZAG Communications for Unravel Data
unraveldata@zagcommunications.com

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