Today’s enterprises rely on big data to improve decision-making, deliver better customer experiences, and enter new markets. But the volume, variety, and velocity of data in the cloud can make it difficult to effectively manage big data performance. Pepperdata was founded to solve this problem. What started as a prototype built in a Silicon Valley basement over a decade ago, is now the only cloud cost optimization solution that delivers dynamic cost savings—continuously and in real-time—on Amazon EMR and Amazon EKS with no application changes or manual tuning.
Pepperdata’s decade of intelligent engineering—developed and tuned by founding Hadoop engineers and cloud experts from Yahoo, Google, and Netflix—keeps some of the world’s most complex data environments perfectly in balance. Our core dynamic optimization technology is based on the company’s ten-year heritage of observability and has been battle tested in some of the most demanding on-prem and cloud environments on the planet. No other company delivers Pepperdata’s combination of real-time, continuous, autonomous, and scalable compute cost optimization.
Pepperdata’s customers include the largest, most complex, and highly-scaled clusters in the world, at top enterprises such as Citibank, T-Mobile, Autodesk, Securonix, Royal Bank of Canada, and those in the Fortune 5. Learn how you, too, can extract more from your Kubernetes and big data infrastructure with Pepperdata.
