Why You Need Pepperdata for Spark Optimization
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Reduce Instance Hours immediately
Save an average of 30-47 percent on Spark workload costs on Amazon EMR and Amazon EKS.
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Optimize Spark cluster efficiency
Minimize (or eliminate) waste in Spark to run more applications without additional spend.
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Eliminate manual tuning and tweaking
Free developers from managing individual apps to focus on innovation and strategic tasks.
Why Customers Love Pepperdata
If you’re running Spark, give us 6 hours,
We’ll save you 30% on top of everything you’ve already done.
41.8%
Cost Savings: Reduced instance hour consumption.
45.5%
Improved Performance: Decreased application runtime.
26.2%
Increased Throughput: Uplift in average concurrent container count.
Benchmark study results for Spark on Amazon EKS at scale, October 2023
Trusted by
A FinOps Team's Best Friend
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Continuous Intelligent Application Tuning
Pepperdata maintains workloads continuously in their optimal sweet spot by automating application tuning in real time.
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Enhanced Resource Utilization
Pepperdata optimization increases resource utilization without manual intervention, freeing IT for higher value tasks.
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FinOps Focused Dashboard
Experience a dashboard that empowers the collaboration of financial teams and technical teams.
