Azure and Unravel boost Big Data in the Cloud
|Christian Hargrave in Big Data Monday, May 7, 2018|
Unravel Data integrates with Microsoft Azure to improve user's cloud Big Data deployments.
Big Data, artificial intelligence, machine learning and Internet of Things (IoT) all offer tremendous value for enterprises across all verticals, but each requires highly specialized experts to properly manage and drive ROI. Most major organizations, even Fortune 500 companies, struggle to hire enough talent to ensure Big Data projects succeed. Unravel’s intelligent APM platform enables enterprises to bridge this Big Data skills gap and easily optimize their applications and clusters.
Unravel’s end-to-end platform optimizes applications for both performance and utilization, collecting performance data across the full stack and automatically correlating all the data together. The solution leverages artificial intelligence and machine learning to provide automated insights and recommendations for solving performance issues, allowing any company to easily master their Big Data deployments.
“With Microsoft’s enduring strength in the enterprise, Azure has become the cloud of choice for many Fortune 500 organizations,” said Kunal Agarwal, CEO, Unravel Data. “The cloud is a great place for these enterprises to deploy Big Data because it’s easier and less costly to scale up and down there. But even with this added flexibility, enterprises still need help to manage, optimize and gain visibility into these deployments. Unravel is the only APM platform designed specifically for Big Data. It gives enterprises the chance to truly unlock the potential of Big Data, allowing them to rely on these mission-critical applications that boost their bottom line.”
“With Unravel, customers are able to run big data applications with Unravel’s APM solution, simplifying troubleshooting and optimization through its automatic capabilities,” said John Chirapurath, General Manager, Microsoft Azure Data. “We are delighted to see Unravel’s integration with Azure.”
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