Impala 2017-06-27T11:18:15+00:00

Application Performance Management for Impala

Optimize, troubleshoot and analyze all your Impala applications
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Troubleshoot and tune Impala queries for the best performance

  • Easily understand the cause of bad performance using Unravel’s visuals and deep analysis
  • Unravel can tune Impala queries for the best performance by considering many possible root causes of query slowdown. For example, resource contention on some Impala workers, memory allocation problems, excessive data spilling, suboptimal join processing, presence of data skew, poor choice of data partitioning, storage, or caching, and many others.

Meet application SLA goals and improve reliability

  • Quickly uncover bottlenecks and causes of unpredictable performance in Impala-based applications.
  • Truly understand the multi-tenant nature of your Impala workloads, and avoid hotspots and failures.
  • Unravel helps identify which SQL queries from engines like Hive and Spark are good candidates for running in Impala, and which ones are not.

 

The simplest way to manage performance for Impala

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