Spark Application Waste Still Exists
Despite Traditional Optimizations
Infrastructure optimizations such as Managed Autoscaling, Spark Dynamic Allocation, and configuration tuning don’t eliminate the problem of application waste. Pepperdata can automatically save you 30% or more within your applications.
Pepperdata Capacity Optimizer
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Reduces instance hours and costs
Save an average of 30-47 percent on Spark workload costs on Amazon EMR and Amazon EKS.
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Optimizes Spark clusters for efficiency
Minimize (or eliminate) waste in Spark to run more applications without additional spend.
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Eliminates manual tuning and tweaking
Free developers from the tedium of managing individual apps so they can focus on more innovative and strategic tasks.
Minimize Operational Costs, Maximize Savings
Data from 2023 Pepperdata TPC-DS Benchmark
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
*TPC-DS is the Decision Support framework from the Transaction Processing Performance Council. TPC-DS is an industry-standard big data analytics benchmark. Pepperdata’s work is not an official audited benchmark as defined by TPC. TPC-DS benchmark results (Amazon EKS), 1 TB dataset, 500 nodes, and 10 parallel applications with 275 executors per application.
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.
If you’re running Spark, give us 6 hours, We’ll save you 30% on top of everything you’ve already done.
If you’re running Spark, give us 6 hours, We’ll save you 30% on top of everything you’ve already done.
Cloud Cost Management
Cloud Management and Cloud Cost Management
Enterprise Cloud Cost Management
Benjamin S.
VP Technical Operations
Mid-Market Organization
“Improves spark report performance and saves overall compute spend”
What do you like about Pepperdata Capacity Optimizer?
“The ease of installation, great dashboards for cost and capacity visibility.
What problems is Pepperdata Capacity Optimizer solving?
“Lowering our overall cost.”
8/12/24
Review collected by and hosted on G2.com.
Verified User
Banking
Enterprise
“Great Easy to use Product. A must for ETL and Big Data”
“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.”
8/12/24
Review collected by and hosted on G2.com.
Rahul C.,
Senior Director,
Enterprise Company
“Saved 75% cost on [Amazon] EMR”
“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 at least 30% savings.”
5/23/2024
Review collected by and hosted on G2.com.
