Big data is the latest trend in the technical community and industry in general. Cassandra and many other NoSQL solutions solve a major part of the problem: storing a large amount of datasets in a scalable manner while keeping the mutations and retrieval queries fast. However, this is just half the picture. A major part is processing. A database that provides better integration with analytical tools such as Apache Hadoop, Twitter Storm, Pig, Spark, and other platforms will be a preferable choice.

Cassandra provides native support to Hadoop MapReduce, Pig, Hive, and Oozie. It is a matter of tiny changes to get the Hadoop family up and working with Cassandra. Third-party support for Hadoop and Solr has taken Cassandra to the next level in terms of integration. Third-party proprietary tooling, such as DataStax Enterprise Edition for Cassandra, makes it easy to work with Hadoop and actually helps text search Cassandra using Solr. Enterprise Edition also provides...