Currently, there’s only one application performance management (APM) solution for big data that correlates full-stack performance metrics while providing automated insights and recommendations. It’s done by Unravel Data.

The company has just been named a 2018 Cool Vendor by leading research and advisory firm Gartner in a report titled, “Cool Vendors in Performance Analysis; Analytics and Containers.” Gartner's Cool Vendor research is designed to highlight interesting, new and innovative vendors, products and services.

“Unravel Data was founded off the back of first-hand experience with the frustration of manually troubleshooting performance problems in big data stacks,” commented Kunal Agarwal, CEO of Unravel Data.

“Today, we’re helping enterprises solve their big data problems around cost optimization, service level agreement guarantees, and proactive monitoring and automated remediation so that they spend less time firefighting issues. From our view, recognition from Gartner as a Cool Vendor is very exciting, validates our work, and underscores the momentum we have as we reimagine big data and change the way our customers transform to being data-driven and insight-led.”

But where did it all begin?

Unravel Data was founded after Kunal Agarwal and Dr. Shivnath Babu who experienced the frustration of manually troubleshooting performance problems in Big Data stacks. Not only does the platform monitor and unify system-level data, but it goes the extra mile to track, correlate, and interpret performance data.

On today's tech podcast I learn how these automated insights are helping businesses analyze, troubleshoot, and optimize the performance of big data apps. We also discuss how Unravel recently closed Series B funding and have also announced a collaboration with Microsoft Azure in May.

Kunal Agarwal reveals how Unravel radically simplifies big data operations with built in AI and ML.