Spark is an open-source analytics engine designed to process large volumes of data. It gives users a unified interface for programming whole clusters using data parallelism and fault tolerance. Kubernetes is an open-source container-orchestration platform that automates computer application deployment, scaling, and management. Think of Spark on Kubernetes as this: Spark provides the computing framework, while Kubernetes manages the cluster. Kubernetes provides users with a sort of operating system for managing multiple clusters. As a result, Spark on Kubernetes delivers superior flexibility in cluster use and allocation, which then translates to massive cost savings.