Unravel Data makes Databricks perform better 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 AWS is a complete monitoring, tuning, and optimization platform for modern data stacks running on AWS Databricks. Unravel provides granular chargeback and cost optimization for your AWS Databricks workloads, and helps you manage migration from on-premises Hadoop and Spark to AWS Databricks in the cloud.
AI-powered performance management for AWS Databricks
Unravel makes it radically simple to monitor, troubleshoot, and optimize Spark performance and reliability.
Unravel’s built-in AI engine provides insights, recommendations, and auto-tuning for Spark applications and pipelines in the Databricks environment. Unravel enables:
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.
Know exactly what you are using, who’s using it, and what it is costing you.
Companies choose AWS Databricks to get Spark apps into production quickly and with excellent performance. Unravel helps you achieve maximum efficiency by providing: