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Pervasive DataRush for Hadoop

You do big data analytics and Apache Hadoop is your framework of choice for distributing the workload across a cluster. You are developing a MapReduce application and want to ensure that you make efficient use of your cluster resources and achieve the performance that is required. Now you can accelerate every node in that cluster by integrating Apache Hadoop with Pervasive DataRushTM.

 

Capabilities

  • Drop DataRush into existing Hadoop MapReduce jobs and boost execution speed by efficiently exploiting the multicore capabilities of every node.
  • Expand the range of algorithms and applications that can be run using Hadoop by leveraging DataRush’s flexible dataflow model.
  • Achieve high-performance reading and writing to Hadoop’s distributed file system with DataRush’s integration with HDFS.
 

Supported Platforms

  • Runs on any Hadoop distribution compatible with Apache Hadoop V0.20.2
  • Tested on Cloudera CDH3 and CDH3u1, and apache.org distributions



 

Video

GigaOm’s Structure Big Data Interview with Pervasive CTO Mike Hoskins about DataRush