Granular Insights, recommendations, and automation for before, during and after your Spark, Hadoop and data migration to AWS.
Unravel for Amazon EMR is a complete application performance monitoring, tuning, and troubleshooting tool for big data apps running on Amazon EMR. Unravel provides AI-powered recommendations and automated actions to enable intelligent optimization of big data pipelines and applications.
Intelligently migrate and monitor your on-premises Hadoop and Spark apps to AWS and EMR
Unravel provides the data driven intelligence to ensure a successful AWS migration.
The future of big data deployments is in the cloud and Amazon AWS/EMR is rapidly becoming a strategic platform for those looking to get more out of their data. Unravel provides the ultimate visibility into your on-premises environment and data driven insights to:
Rapid Troubleshooting and performance optimization for your Amazon AWS EMR workloads
Unravel provides the essential insights, recommendations, and automation to get the most out of big data on AWS.
Companies that need to run significant data workloads on AWS are constantly looking for ways to run more jobs faster and more efficiently. Unravel delivers critical insights and recommendations needed to provide:
Full visibility of EMR resource consumption, Costs and Chargeback reporting
Understand your EMR workloads as your needs, consumption and applications change.
Companies adopt public cloud services to increase operational agility and to hide the complexity of the underlying software stack. But achieving maximum performance requires an understanding of that complexity. To this end, Unravel provides: