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DATABRICKS ON AWS

INTELLIGENT MONITORING, PERFORMANCE MANAGEMENT AND COST REDUCTION FOR DATABRICKS ON AWS

Unravel brings AI-powered Data Operations to Databricks workloads on AWS

Unravel for Databricks on AWS is a complete monitoring, performance management, cost optimization and troubleshooting tool for data workloads running on Databricks. Unravel provides granular chargeback and cost optimization for Databricks and can help evaluate your cloud migration from on-premises Hadoop to AWS.

READ THE INFOGRAPHIC ON MANAGING COSTS FOR DATABRICKS ON AWS

Spark application performance management for Databricks on AWS

Data driven intelligence to maximize Spark performance and reliability in the cloud.

Databricks on AWS provides limitless potential for running and managing Spark applications and data pipelines. But there is no one-size-fits-all strategy for getting the most out of every app on Databricks. Unravel provides the essential context in the form of

  • Guided root cause analysis for Spark application failures and slowdowns.
  • AI/ML powered operational analytics to make sense of your Databricks runtime.
  • Analysis and correlation of runtime metadata and application code to ensure optimal configuration and tuning of Spark apps.

Unified view of Spark, AWS and Databricks platforms provides essential context to DataOps teams

Unravel provides the most complete picture of your data operations for Databricks on AWS.

Unravel provides a highly correlated and refined view of your cluster resources and data pipelines in Databricks on AWS environments. Unravel delivers critical insights and recommendations needed to:

  • Provide a unified view and correlated metrics for Spark, AWS, Databricks as well as adjacent technologies like Kafka.
  • Dive into the details of Databricks job runs to understand execution, resource usage, and KPIs.
  • Reduce the number of tools needed to monitor, troubleshoot, and tune your Databricks environment.

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

Unravel makes it radically simpler to monitor, tune, monetize, and optimize cluster resources.

Companies choose Databricks on AWS to get Spark apps into production quickly. Unravel helps you achieve maximum efficiency by providing:

  • Cost analytics to provide assurance and forecasting for optimizing databricks workloads as they scale.
  • Accurate, detailed chargeback reporting of the cost of running data apps on Databricks.
  • Right-sizing recommendations to reveal the best virtual machine or workload types that will provide same performance on cheaper clusters.

Learn More

Take control of your Databricks workloads on AWS.