Overview

Pepperdata Capacity Optimizer software is the "easy button" for cloud cost optimization for Spark workloads on Amazon EMR and Amazon EKS. Using machine-learning based Continuous Intelligent Tuning, Pepperdata immediately saves between 30-47% by reducing application waste in real time in even the most highly tuned clusters. Pepperdata Capacity Optimizer empowers customers to:

Reduce monthly spend by an average of 30-47% and run more apps for the same cost
Drive optimal price/performance cost outcomes
Minimize (or eliminate) waste in Spark to run more applications without additional spend
Eliminate manual tweaking and tuning of applications to free your developers from the tedium of managing apps to focus on innovation

Platforms supported: Amazon EMR on EC2, Spark and Amazon EMR on EKS, Amazon EKS

REDUCE COSTS AND INSTANCE HOURS AUTOMATICALLY: Quickly and efficiently optimize utilization for your Amazon EMR and Amazon EKS clusters. Working autonomously and continuously in the background, Pepperdata Capacity Optimizer uses machine learning to automatically save costs in real time with no manual tuning or application code changes. Capacity Optimizer reduces total instance hours by ensuring that all nodes are fully utilized before additional nodes are created. Save up to 47% immediately and free your developers to focus on production and innovation.

Learn more about Pepperdata for Amazon EMR and Amazon EKS on our website at pepperdata.com.

Pepperdata's version support matrix is available at https://help.pepperdata.com .

Highlights

Autonomously slash cloud costs by up to 47% in real time. Run the same number of workloads on fewer instances at lower cost.
Free your developers from the tedium of manually tuning applications with Pepperdata's Continuous Intelligent Tuning, which optimizes node performance, prevents application waste, and enables up to 47% cost reduction.
Within five days, Pepperdata reduced Extole's compute cost by an additional 30%.

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Pepperdata, Inc.

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Pepperdata Real-Time Cost Optimization

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Dimension	Cost/unit
Per hour vCPU fee	$0.02

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When you license Pepperdata software by purchasing Pepperdata Real-Time Cost Optimization, it includes full technical support with guaranteed response times. Access Pepperdata Technical Support at support.pepperdata.com. If prompted to log in, use the same credentials that you use to log in to the Pepperdata dashboard.

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39 external reviews

External reviews are sourced from G2 and are not included in the star rating for this product.

Banking

Great Easy to use Product. A must for ETL and Big Data

Reviewed on Aug 12, 2024

Review provided by G2

What do you like best about the product?

Capacity Optimizer is a simple easy to implement - easy to use application that will save you money right from the get go. Right out of the box you will see a 10 to 15 % savings. The support is top notch - they go above and beyond in getting the most out of the product. This is a no brainer for any Big Data workload.

What do you dislike about the product?

The Pepperdata team works closely with you to answer and problems you may have. I have not had any serious problem that would make me not use it

What problems is the product solving and how is that benefiting you?

Cost Savings - We have seen a significant cost savings
Visiblity - We have more visiblity than what AWS gives us with Pepperdata

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Benjamin S.

Improves spark report performance and saves overall compute spend.

Reviewed on Aug 12, 2024

Review provided by G2

What do you like best about the product?

The ease of installation, great dashboards for cost and capacity visibility.

What do you dislike about the product?

Wish we could use it on our other applications!

What problems is the product solving and how is that benefiting you?

Lowering our overall cost.

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Rahul C.

Saved 75% cost on EMR

Reviewed on May 23, 2024

Review provided by G2

What do you like best about the product?

The 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 atleast 30% savings.

What do you dislike about the product?

Needs fine tuning multiple times, I would love to see some automated feedback in place to recommend the right set of settings based on the workloads.

What problems is the product solving and how is that benefiting you?

Cost optimization

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Lee G.

Save money on your big data workloads

Reviewed on Feb 13, 2024

Review provided by G2

What do you like best about the product?

The capacity optimizer has been proven to save a lot of money. What I like best about the product, though, is the support we have received throughout our journey of migrating our EMR clusters from EC2 to EKS.

What do you dislike about the product?

There are still some features that need to be worked out for EMR on EKS and EMR Notebooks, but the Pepperdata team is actively working on these. These are relatively new offerings, so it's not surprising that there is still some work that needs to be done.

What problems is the product solving and how is that benefiting you?

The optimizer's main benefit is cost savings on compute, specifically with workloads running on EMR.

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Nachiket K.

Good for visualization. Need more details and understanding 9f.how the optimization works

Reviewed on Feb 13, 2024

Review provided by G2

What do you like best about the product?

The visualization is good with clear uncluttered dashboards and metrics analyser

What do you dislike about the product?

Optimizer does not work always. Details on how the optimizer works is not so clear.

What problems is the product solving and how is that benefiting you?

Optimizing kubernetes resource usage for data pipeline infrastructure

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