DataStax Enterprise 2.0 Documentation

Analytics with Hadoop

This document corresponds to an earlier product version. Make sure you are using the version that corresponds to your version.

Latest DSE documentation | Earlier DSE documentation

In DataStax Enterprise, Hadoop is continuously available for analytic workloads. DataStax Enterprise is 100% compatible with Hadoop). Instead of using the Hadoop Distributed File System (HDFS), it uses uses a cfs keyspace in Cassandra for the underlying storage layer. This provides all of the benefits of HDFS such as replication and data location awareness, with the added benefits of the Cassandra peer-to-peer architecture. DataStax Enterprise fully supports MadReduce, Hive, and Pig.