Case Study: Zeotap increases big data application performance 23.78% with Pepperdata

Zeotap Runs 24% More Big Data Tasks Using Pepperdata

Zeotap, a customer intelligence and analytics company, needed better visibility and control over its Apache Spark workloads running on Google Dataproc clusters. As its data engineering pipelines grew, Zeotap struggled to track jobs across multiple clusters and workflows, optimize resource usage, and avoid the performance issues and overspending that come with unoptimized Spark applications.

Pepperdata provided Zeotap with its big data application optimization and observability platform, including tools such as Application Spotlight, Platform Spotlight, and Capacity Optimizer. With Pepperdata, Zeotap improved visibility, tuned Spark jobs more effectively, and optimized capacity, resulting in 23.78% more tasks performed and $31,414.76 in cost savings in just over three months.

Zeotap

Aditya Chandra

Director of IT