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.
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
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:
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: