Pepperdata serves enterprises running large Hadoop estates where underutilized clusters drive significant wasted infrastructure spend. Its initial market centered on organizations operating Cloudera, Hortonworks, IBM, and MapR distributions alongside Apache Hadoop.
As those estates migrated toward Kubernetes and cloud-based data platforms, the company extended into container cost optimization and GPU infrastructure. Demand now comes from platform teams managing Spark, Flink, and AI workloads on EKS, GKE, EMR, and Dataproc.
Pepperdata is headquartered in Sunnyvale, California, where co-founders Sean Suchter and Chad Carson built the company after engineering careers at Yahoo and Microsoft. Suchter serves as chief executive and Carson as a co-founder driving product direction.
Wing Venture Capital partner Peter Wagner joined the company board in connection with leading the Series B round. The leadership team combines search-infrastructure engineering experience with enterprise go-to-market expertise.
Pepperdata provides automatic, real-time optimization for Kubernetes and Hadoop data workloads, continuously tuning resource usage with no code changes or manual recommendations to apply. Its Capacity Optimizer gives schedulers live visibility into actual hardware utilization so more work packs onto existing nodes.
The platform supports Apache Spark, Flink, Airflow, and batch jobs across EKS, GKE, EMR, Dataproc, and Cloudera environments. Customers report cutting cloud spend by up to 75 percent while raising utilization by as much as 80 percent.