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: storage of a large amount of data set in a scalable manner while keeping the mutations and retrieval queries superfast. But 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. There are a couple of independently developed projects that use Cassandra as storage. One of the most popular projects is Solandra. Solandra provides Cassandra integration with Solr. However, it does not magically enable you to test search in Cassandra. Cassandra serves just as a backend.
Third-party supports for...