BENCHMARKS

Pepperdata Reduces the Cost of Running Spark Workloads on Amazon EMR 7.0 by 51%

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BENCHMARKS

Pepperdata Reduces the Cost of Running Spark Workloads on Amazon EMR 7.0 by 51%

Pepperdata completed a TPC-DS based Spark benchmark on Amazon EMR 7.0 to evaluate the Pepperdata Capacity Optimizer performance under these parameters:

  • Decreased total instance hours consumed by 51%
  • Increased overall throughput, increasing concurrent container count by 57%
  • Improved memory utilization by 65%, thus increasing performance
  • Increased CPU utilization by 82% to enable more efficient processing

Learn more about how these findings can impact your usage of EMR 7.0

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