Apache Spark powers live SQL analytics in SnappyData

The team behind Pivotal’s GemFire in-memory transactional data store recently unveiled a new database solution powered by GemFire and Apache Spark, called SnappyData.

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.

To read this article in full or to leave a comment, please click here

from InfoWorld Big Data http://ift.tt/1Uhsvqp

Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s