The concept of Big Data as a Service (BDaaS) has emerged as an option in the past several years, as public cloud providers have introduced Hadoop as a Service and Spark as a Service offerings running on cloud-based infrastructure. As in the Infrastructure as a Service (IaaS) market, the cloud operating model of self-service and elasticity is compelling to many organizations deploying Big Data applications. However, until now, the benefits of BDaaS weren’t available for on-premises deployments of Hadoop, Spark, and other Big Data workloads.