Unravel brings AI-guided DataOps to Azure Databricks environments.
Unravel for Microsoft Azure Databricks is a complete monitoring, tuning and troubleshooting tool for big data running on Azure Databricks. Unravel provides granular chargeback and cost optimization for your Azure Databricks workloads and can help evaluate your cloud migration from on-premises Hadoop to Azure.
Spark application performance management for Azure Databricks
Data driven intelligence to maximize Spark performance and reliability in the cloud.
Azure Databricks 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 Azure Databricks. Unravel provides the essential context in the form of
Unified view of Spark, Azure and Databricks platforms provides essential context to DataOps teams
Unravel provides the most complete picture of your data operations for Azure Databricks.
Unravel provides a highly correlated and refined view of your cluster resources and data pipelines in Azure Databricks environments. Unravel delivers critical insights and recommendations needed to provide:
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 Azure Databricks to get Spark apps into production quickly. Unravel helps you achieve maximum efficiency by providing: