BENCHMARKS
Pepperdata Reduces the Cost of Running Spark Workloads on Amazon EMR 7.0 by 51%
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
Related Resources
Take a look through some of our related resources for a better idea of how Pepperdata Capacity Optimizer can work in your environment and how much it can help you save.
