Apache Spark has become the defacto standard computational engine in the big data world. But as an in-memory technology, Spark has limitations. One of the ways people are getting around those limitations is by pairing Spark with superfast, Flash-based NoSQL databases, including key-value stores.

Big data architects have an abundance of technologies to work with at the moment, including Apache Spark, the computational Swiss Army knife that has quickly replaced MapReduce as the core data processing engine in Hadoop.

Source: datanami.com
Author: Alex Woodie