According to a recent press release, “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 Azure Databricks, a solution to deliver comprehensive monitoring, troubleshooting, and application performance management for Azure Databricks environments. The new offering leverages AI to enable Azure Databricks customers to significantly improve performance of Spark jobs while providing unprecedented visibility into runtime behavior, resource usage, and cloud costs. ‘Spark, Azure, and Azure Databricks have become foundational technologies in the big data landscape, with more and more Fortune 1000 organizations using them to build their modern data pipelines,’ said Kunal Agarwal, CEO, Unravel Data. ‘Unravel is uniquely positioned to empower Azure Databricks customers to maximize the performance, reliability and return on investment of their Spark workloads’.”
The release continues, “Unravel for Azure Databricks helps operationalize Spark apps on the platform: Azure 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. ‘Unravel’s full-stack DataOps platform has already helped Azure customers get the most out of their cloud-based big data deployments. We’re excited to extend that relationship to Azure Databricks,’ said Yatharth Gupta, principal group manager, Azure Data at Microsoft. ‘Unravel adds tremendous value by delivering an AI-powered solution for Azure Databricks customers that are looking to troubleshoot challenging operational issues and optimize cost and performance of their Azure Databricks workloads’.”
Read more at Business Wire.
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