Revolution Analytics has announced it will deliver Revolution R Enterprise for Microsoft Windows HPC Server 2008 R2, released today, enabling users to analyze very large data sets in high-performance computing environments.

R is a powerful open source statistics language and the modern system for predictive analytics. Revolution Analytics recently introduced RevoScaleR, new "Big Data" analysis capabilities, to its R distribution, Revolution R Enterprise. RevoScaleR solves the performance and capacity limitations of the R language by with parallelized algorithms that stream data across multiple cores on a laptop, workstation or server. Users can now process, visualize and model terabyte-class data sets at top speeds -- without the need for specialized hardware.

"Revolution Analytics is pleased to support Microsoft's Technical Computing initiative, whose efforts will benefit scientists, engineers and data analysts," said David Champagne, CTO at Revolution. "We believe the engineering we have done for Revolution R Enterprise, in particular our work on big-data statistics and multicore computing, along with Microsoft's HPC platform for technical computing, makes an ideal combination for high-performance large scale statistical computing."

"Processing and analyzing this 'big data' is essential to better prediction and decision making," said Bill Hamilton, director of technical computing at Microsoft "Revolution R Enterprise for Windows HPC Server 2008 R2 gives customers an extremely powerful tool that handles analysis of very large data and high workloads."