SnappyData is another example of the way Spark has recently been employed as a component in a larger database solution, with or without other components from Apache Hadoop.
Snap and spark
SnappyData — which is the name of both the new database and the organization producing it — was built to span two worlds. It uses the Apache Spark in-memory data-analytics engine so it can perform live SQL analytics on both static datasets and streams. Queries against SnappyData can be written as conventional SQL or as Spark abstractions, so existing work done in both paradigms can be re-used, alone or together, on the same data.