Pepperdata was founded over a decade ago to solve big data performance problems: how do you keep big data systems running optimally when the big data gets really big? What started as a prototype built in a Silicon Valley basement is now the only cloud cost optimization solution that delivers dynamic cost savings—both on premises and for data running on cloud service platforms such as Amazon EMR and Amazon EKS— continuously, in real time, and with no application changes or manual tuning required.
Pepperata has saved customers over $200 million—which they have reinvested in growing their businesses. With Pepperdata serving as their savings engine, customers can run more workloads, accelerate their migration to the cloud and Kubernetes, increase their profit margins, and invest in innovative new projects like GenAI and agentic AI.
Pepperdata Capacity Optimizer was developed and tuned by founding Hadoop engineers and cloud experts from Yahoo, Google, and Netflix and has been hardened in some of the world’s largest and most demanding compute environments. Pepperdata’s Continuous Intelligent Tuning keeps these highly sophisticated and complex data clusters perfectly in balance. And no other company delivers Pepperdata’s combination of real-time, continuous, autonomous, and scalable compute cost optimization.
Pepperdata’s customers include top enterprises such as Citibank, Autodesk, Royal Bank of Canada, and those in the Fortune 5. Learn how you, too, can extract the most from your large-scale analytics infrastructure with Pepperdata.