Apache Spark became popular as an in-memory data processing framework that is frequently used with Hadoop. It is also very quickly transforming into a hub for building of other data-processing products. Recently released, version 2.0 of the SQL-RDBMS-on-Hadoop solution Splice Machine use Spark as either of two processing engines. Incoming work is allocation between them depends is it an OLTP or OLAP workload.