Unravel for Azure Databricks Includes New Features
February 25, 2020
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Unravel Data introduced new migration, cost analytics and architectural mapping capabilities for Unravel for Azure Databricks, which is now generally available from Unravel and in the Azure Marketplace.

The move further solidifies Unravel’s mission to support modern data workloads wherever they exist, whether on-premises, in the public cloud or a hybrid setting.

“With more and more big data deployments moving to the public cloud, Unravel has spent the last several years helping to simplify the process of cloud migration as well as improving the management and optimization of modern data workloads once in the cloud. We have recently introduced platforms for all major public cloud platforms,” said Bala Venkatrao, Chief Product Officer, Unravel Data. “This release, highlighted by the industry’s only slice and dice migration capabilities, makes it easier than ever to move data workloads to Azure Databricks, while minimizing costs and increasing performance. The platform also allows enterprises to unify their data pipelines end-to-end, such as Azure Databricks and Azure HDInsight.”

Unravel for Azure Databricks delivers comprehensive monitoring, troubleshooting, and application performance management for Azure Databricks environments.

The new additions to the platform include:

- Slice and dice migration support – Unravel now includes migration intelligence to help customers assess their migration planning to Azure Databricks in version 4.5.5.0. Slice and dice migration support provides impact analysis by applications and workloads. It also features recommended cloud cluster topology and cost estimates by service-level agreement (SLA), as well as auto-scaling impact trend analysis as a result of cloud migration.

- Cost analytics – Unravel will soon add new cost management capabilities to help optimize Azure Databricks workloads as they scale. These new features include cost assurance, cost planning and cost forecasting tools. Together, these tools provide granular detail of individual jobs in Azure Databricks, providing visibility at the workspace, job, and job-run level to track costs or DBUs over time.

- Detailed architectural recommendations: Unravel for Azure Databricks will soon include right-sizing, a feature that recommends virtual machine or workload types that will achieve the same performance on cheaper clusters.

Unravel for Azure Databricks helps operationalize Spark apps on the platform: Azure Databricks customers can 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 enjoy greater productivity by eliminating the time spent on tedious, low value tasks such as log data collection, root cause analysis and application tuning.

In addition to being generally available directly from Unravel, Unravel for Azure Databricks is also available on the Azure Marketplace.

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