Pepperdata Focuses on Hadoop Cluster Optimization for the Enterprise

Pepperdata has arrived on the big data scene with the goal of controlling workflows in Hadoop to optimize cluster performance. Pepperdata’s solution, called Pepperdata Supervisor, installs quickly and seamlessly, ensures SLAs, and prioritizes jobs and resources so that mission-critical jobs get priority, according to Sean Suchter, co-founder and CEO of Pepperdata.

The company recently secured more than $15 million in strategic and venture financing to help the company scale to serve enterprises that are relying on Hadoop in production. New investor Wing Venture Capital led the round, joined by existing investors, including Signia Venture Partners and Yahoo Chairman Maynard Webb. New strategic investors Citi Ventures and Silicon Valley Data Capital also invested.

“The real difference between our approach, thus our results, is the real-time nature of it,” Suchter said. “It works alongside all of these existing things, Cloudera, Hortonworks, etc. We’re operating on a different layer to provide absolute guarantees.”

A broad range of enterprises and individuals will benefit from Pepperdata and its platform, according to Suchter. “What makes this technology useful is if you actually care about performance, which is a common thing,” Suchter said.

Pepperdata’s technology will expand in the coming months to offer more support and capabilities. Support was recently added for Spark and Spark Streaming in multi tenant environments along with allowing integration with other platforms.

“When you get to production, performance always matters,” Suchter said. “It doesn’t have to be a problem. You don’t have to spend hours tweaking settings and you don’t have to create new clusters for each workload that you want to run. With intelligent software you can solve the problem with guarantees of important workloads.”

For more information about Pepperdata and its solution, visit