Impala helps your data-driven teams get more out of big data by scaling SQL on Hadoop; the Unravel Impala tuning tool provides guidance and automation to improve the performance of Impala queries and applications. Finding the root cause of performance issues, Unravel tunes and troubleshoots Impala queries to increase data access speed and improve overall efficiency.
Enterprise developers and information workers want to be able to use the wealth of SQL skills of their developers on larger data sets. These datasets now reside in Hadoop clusters and data teams use Impala to provide access to these datasets. Unravel’s Impala tuning AI platform gives detailed metrics, troubleshooting insights and recommendations to supercharge your Impala applications and queries.
Breakthrough insights into Impala SQL operations
Unravel uncovers and understands the factors that lead to Impala application slowdowns and failures.
Unravel automatically detects, diagnoses and resolves slow or failing Impala applications and queries. Unravel for Impala enables you to:
Optimizing Impala resource usage across multi-tenant clusters
Unravel ensures that Impala applications have the resources they need to offer optimal performance
Unravel ensures that SQL applications that use Impala are performant and production ready for enterprise use. To ensure top query performance, Unravel:
Understanding the operating cost of Impala
Unravel provides detailed reporting, recommendations, insights, dashboards and auto-tuning of Impala applications
Unravel provides reporting on resource usage and the cost of Impala operations. Unravel provides