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Azure Databricks

AI-POWERED AZURE DATABRICKS MIGRATION OPTIMIZATION & REPORTING

Unravel Data makes Azure Databricks perform better during and after your Azure migration and more reliably. Unravel complements the Spark web UI and automatically troubleshoots and tunes your Spark jobs. Avoid errors, slowdowns, and inefficient resource usage.

Unravel for Databricks on Microsoft Azure is complete monitoring, tuning, and optimization platform for modern data stacks running on Azure Databricks. Unravel provides granular reporting, chargeback, and cost optimization for your Azure Databricks workloads, and helps manage Azure migration from on-premises Hadoop and Spark to Azure Databricks in the cloud.

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AI-powered performance management and reporting for Azure Databricks

Unravel makes it radically simple to monitor, troubleshoot, and optimize Spark performance and reliability.

Unravel’s built-in AI engine provides insights, reporting recommendations, and auto-tuning for Spark applications and pipelines in the Databricks environment. Unravel enables:

  • Automated root cause analysis (RCA), with detailed explanations telling you what happened and why.
  • Recommendations and tweaks to get your Spark jobs running at optimal levels.
  • Auto-tuning and fixes to speed up jobs, get rid of errors, and guarantee SLAs are met.
  • Get actionable insights into misconfiguration, parallelism, partitioning, garbage collection, RDD caching, resource contention, container resource utilization, and more.

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Observe everything

Unravel provides a unified view of Databricks with all adjacent technologies.

Unravel automatically connects your Spark jobs to the pipelines they run under. Unravel also provides a highly correlated and refined view of your Spark jobs with other services, storage, containers, and infrastructure.

  • See how your Spark code interacts with other services such as ingestion, NoSQL, data warehousing, etc., end-to-end.
  • Drill down into bottlenecks, slowdowns, failures, excessive resource consumption, and data usage.
  • Reduce the number of tools needed to monitor, troubleshoot, and tune your Databricks environment.

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Improve accountability

Know exactly what you are using, who’s using it, and what it is costing you.

Companies choose Azure Databricks to get Spark apps into production quickly and with excellent performance. Unravel helps you achieve maximum efficiency by providing:

  • Accurate, detailed chargeback reporting by user, workspace, department, project, and more.
  • Cost analytics to forecast DBUs needed as workloads scale.
  • Right-sizing recommendations to improve efficiency.
  • Recommendations of VM and workload type based on the profile of the Spark job.

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Maximize your Microsoft Azure HDI ROI with Unravel Data

  • Accelerate data migration to Azure HDI
  • Simplify the management of data operations on Azure HDI
  • Get granular chargeback and cost optimization for your Azure HDInsight workloads
  • Don’t fly blind: you need full visibility into Azure usage if you want to meet deadlines and budgets

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Automatically tune and optimize Databricks.

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