Spark Savings

Run existing Spark apps on 30% less hardware.

Pepperdata autonomous cost optimization slashes in-app waste in just a few hours, without code changes or manual tuning.

Running Apache Spark on Amazon EMR and Amazon EKS?

We’ll save you 30% or more in just a few hours!

Spark Application Waste Still Persists Despite Traditional Optimization Methods

Even with tools like Managed Autoscaling, Spark Dynamic Allocation, and manual tuning, application waste remains a costly issue. Pepperdata automatically eliminates application waste to save you 30% or more on your cloud bill.

Don’t have six hours?

Take thirty minutes and try our free demo.

Pepperdata Capacity Optimizer

What is it, and what does it do?

Pepperdata Capacity Optimizer automatically enables your existing data-intensive workloads to run on -30% less infrastructure.

You'll see immediate savings. No need for manual tuning, applying recommendations, or changing application code.

No matter the industry, overspending is an issue in the cloud. Learn how you can conquer the challenge of overspending.

In a Nutshell

Reduces Instance Hours and Costs

Identifies waste in your applications and automatically reduces it.

Optimizes Spark Clusters for Efficiency

Continuously and autonomously tunes Spark application clusters in real time.

Eliminates Manual Tuning and Tweaking

Frees developer time from manual tuning to focus on higher-value tasks.

Autonomous

Continuous

Real Time

Pepperdata customers save an average of 30% on their Spark workload costs in the cloud on top of the other optimization methods.

Download White Paper

Senior Director, Financial Services Enterprise

Pepperdata Capacity Optimizer helped us to reduce the wastage on EMR clusters and increased the efficiency. For one of the clusters, the savings was as big as 75%. For others we are seeing at least 30% savings.

Ben Smith, VP of Technical Operations, Extole

I've enjoyed the Pepperdata relationship because it was an easy way to save money… Think about the cost management side of it—if you can get that money back and maybe save some, some time too with this amount of investment, it's really a no-brainer. It’s been awesome.

Mark Kidwell, former Chief Data Architect, Data Platforms and Solutions, Autodesk

We had a lot of challenges with our data platform; getting things to scale, getting things to run cost effectively... All we had to do was turn on the settings with Pepperdata and they started optimizing everything for us.

VP, Big Data Solutions Engineering, Global Financial Services Enterprise

Pepperdata Capacity Optimizer helps optimize the efficiency of our infrastructure to reduce our spending.

Verified User, Financial Services Enterprise

Capacity Optimizer is a simple, easy to implement, easy to use application that will save you money right from the get go… This is a no brainer for any Big Data workload.

Director, Big Data, Health, Wellness and Fitness Brand

[Pepperdata Capacity Optimizer] provides great value insight and cost savings to the point where it pays for itself within months or sooner for some.