“Spark as a Service”: Simple REST interface (including HTTPS) for all aspects of job, context management Support for Spark SQL, Hive, Streaming Contexts/jobs and custom job contexts! See Contexts. LDAP Auth support via Apache Shiro integration Supports sub-second low-latency jobs via long-running job contexts Start and stop job contexts for RDD sharing and low-latency jobs; change resources on restart Kill running jobs via stop context and delete job Separate jar uploading step for faster job startup Asynchronous and synchronous job API. Synchronous API is great for low latency jobs! Preliminary support for Java (see JavaSparkJob) Works with Standalone Spark as well as Mesos and yarn-client Job and jar info is persisted via a pluggable DAO interface Named RDDs to cache and retrieve RDDs by name, improving RDD sharing and reuse among jobs. Supports Scala 2.10 and 2.11