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MULTIMEDIA UPDATE – Unravel Data Emerges From Stealth With More Than $7 Million in Funding for Optimizing Big Data Applications
September 14, 2016 News



Start-Up Is First to Deliver Full-Stack Performance and Operations Intelligence for Big Data From a Single Platform; Aims to Make Management of Big Data Applications Automated, Simple, and Intuitive

MENLO PARK, CA–(Marketwired – Sep 13, 2016) – Unravel Data, a full-stack performance intelligence platform for optimizing Big Data operations (DataOps), today emerged from stealth with more than $7 million in Series A led by Menlo Ventures, with an additional seed investment from Data Elite Ventures. Unravel Data accelerates all applications in a Big Data stack or cluster, optimizes multi-tenant resource utilization and provides operations intelligence, all from a single platform, delivering the full value of Big Data by resolving complex issues across the stack.

In production with Fortune 100 companies since January 2016, Unravel Data’s team of Big Data experts and engineers (from the likes of Cloudera, Oracle, and Microsoft), including founders Kunal Agarwal and Dr. Shivnath Babu, has been working behind the scenes to bring to the expanding Big Data market — which IDC estimates to be worth $187 billion by 2019 — a single source of performance and operations intelligence for the entire modern data stack.

With Big Data, Comes Big Complexity
Big Data implementations have become top priority for businesses of all sizes to accelerate revenue, create new products and enable quick decision-making. With this adoption comes increased complexity, which is underlined by an acute shortage of talent capable of running and maintaining these intricate Big Data systems. In fact, Gartner’s Nick Heudecker estimates that, “through 2018, 70 percent of Hadoop deployments will fail to meet cost savings and revenue generation objectives due to shortage of skills and integration challenges.”1Businesses are spending too much time solving Big Data operations problems, and productivity is suffering.

Up until now, enterprises have relied on raw logs and basic infrastructure monitoring solutions to keep their Big Data applications and infrastructure optimized. As companies continue to adopt multiple Big Data technologies for their needs, the complexity and time required to diagnose and resolve problems have grown exponentially. The challenge is finding a single full-stack platform that can analyze, optimize, and resolve any challenge that exists with Big Data applications or infrastructure quickly and accurately.

“The rapid adoption of critical distributed technologies such as Hadoop, Spark, and Kafka into the Big Data stack has made the need for Unravel Data even greater,” said Dr. Shivnath Babu, Unravel Data Co-Founder and Associate Professor of Computer Science at Duke University. “It’s difficult to determine whether an application is not performing at its peak because of bad code, data partitioning, system configuration settings, resource allocation or infrastructure issues. Unravel Data resolves these challenges immediately, thereby eliminating 90 percent of the time previously spent to identify and mitigate complex issues across the stack.”

“As Big Data projects move from pilots to production, they encounter serious performance problems that frustrate both data analysts and IT operations,” said Venky Ganesan, managing director, Menlo Ventures. “We at Menlo have been looking for a next-generation solution to this problem. Unravel Data had the perfect trifecta of an amazing founding team in Kunal Agarwal and Dr. Shivnath Babu, deep proprietary machine learning algorithms, and world-class customers, including Autodesk and, in production. We are proud to be the lead backers of this revolutionary product.”

Ganesan will join Shivnath Babu and Kunal Agarwal on the Unravel board of directors. Advisors of Unravel include industry veterans such as Tasso Argyros, founder of Aster Data Systems, which was acquired by Teradata for $263 million, Ken Rudin, formerly of Facebookand current Head of Growth and Analytics at Google Search, Bhaskar Ghosh, formerly of LinkedIn and current VP of Engineering, Operations and Security at NerdWallet, Jeff Magnusson, Director of Algorithms Platforms at StitchFix, and Daniel McCaffrey, VP of Data and Analytics at Climate Corp.

“Unravel Data has taken a data science approach to solving the complexity of operating a Big Data stack,” says Tasso Argyros. “Unravel’s approach of applying machine learning to telemetry data from the entire Big Data stack automatically diagnoses and resolves performance and reliability problems. Unravel Data enables IT to simplify daily operations and see much quicker time to value from Big Data investments.”

With the financial support from Menlo Ventures and Data Elite Ventures, along with guidance from a deep bench of industry laureates, Unravel Data is primed to deliver operations, developers, lines of business managers and emerging roles, such as Chief Analytics Officers (CAOs) and Chief Data Officers (CDOs), the performance and operations visibility necessary to effectively and efficiently optimize Big Data applications, all from a single platform.

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