Unravel Data Launches Early Access Release of Data Operations Solution for Azure Databricks Environments

Unravel Data, provider of a data operations platform , has announced Unravel for Azure Databricks, a  solution to deliver comprehensive monitoring, troubleshooting, and application performance management for Azure Databricks environments.

Azure Databricks is a Spark-based analytics platform optimized for Microsoft Azure that provides one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.

The new offering from Unravel leverages AI to enable Azure Databricks customers to improve performance of Spark jobs while providing 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 for Azure Databricks is targeted at helping to operationalize Spark apps on the platform, enabling Azure Databricks customers to shorten the cycle of getting Spark applications into production. The solution helps users to decrease the time spent on tedious, low value tasks such as log data collection, root cause analysis and application tuning.

Key features of Unravel for Azure Databricks include:

  1. Application Performance Management for Azure Databricks—delivers  visibility and understanding of Spark applications, clusters, workflows, and the underlying software stack
  2. Automated root cause analysis of Spark apps—can automatically identify, diagnose, and remediate Spark jobs and the full Spark stack, achieving simpler and faster resolution of issues for Spark applications on Azure Databricks clusters
  3. Comprehensive reporting, alerting, and dashboards—provides  insights, plain-language recommendations, and a host of new dashboards, alerts, and reporting on chargeback accounting, cluster resource usage,  and Spark runtime behavior

An early access release of Unravel for Azure Databricks available now. For more information, go to