R is Ready for Business

Revolution R Enterprise: Latest Features

Revolution R Enterprise is under active development with new features added on a regular basis.

Released in November 2011, Revolution R Enterprise 5.0 introduces key new features for analyzing big data sets and includes support for integrating data from alternate platforms including SAS, SPSS, and relational databases via ODBC. R developers can now better leverage Revolution R to analyze large data sets and securely deploy R applications to multiple users, across multiple machines.  

Datasheet Read the Revolution R Enterprise Development
Roadmap


New features in Revolution R Enterprise 5.0 include::

  • Distributed/Parallel Computing: Automatically distribute statistical analyses from a desktop across nodes of a cluster through Windows HPC server and distribute R function calls across nodes.
  • Scalable Data Management: Increase flexibility in data analysis with new data import and cleaning/manipulation tools.
  • Integration with Hadoop: Support MapReduce programming in R and integration with HDFS and HBASE with Cloudera Certified Technology.
  • Expanded Scalable Analytics Functionality: Apply new big data statistics algorithms including principal components analysis, factor analysis, contingency table analysis and more.
  • Enhanced R Productivity Environment: Create and build R packages with expanded support features.
  • Enhanced RevoDeployR server: Add multiple compute nodes to support more users, batch execution of large analysis jobs, and LDAP enterprise security support.
  • Upgraded Open Source R: Revolution R 5.0 includes the fully-patched R 2.13.2, which features a new byte-compiler to improve performance of user-written functions and packages.


Learn More About Revolution R Enterprise 5.0



 


© 2011 Revolution Analytics