Break through R's Memory Barrier with Revolution R Enterprise

Revolution Analytics is taking the popular R statistics language to unprecedented new levels of capacity and performance for analyzing very large data sets. For the first time, R users can process, visualize and model terabyte-class data sets in a fraction of the time of legacy products—without employing expensive or specialized hardware.

Revolution R Enterprise now provides a new framework for fast and efficient multi-core processing of large data sets, including:

  • The XDF file format, a new binary ‘Big Data’ file format with an interface to the R language that provides high-speed access to arbitrary rows, blocks and columns of data.
  • A collection of widely-used statistical algorithms optimized for Big Data, including high-performance implementations of Summary Statistics, Linear Regression, Binomial Logistic Regression and Crosstabs — with more to be added in the near future.
  • Data Reading & Transformation Tools, which allow users to interactively explore and prepare large data sets for analysis.
  • Extensibility, expert R users can develop and extend their own statistical algorithms to take advantage of Revolution R Enterprise’s new speed and scalability capabilities.

These Big Data features are available for the Microsoft Windows and Red Hat Enterprise Linux platforms.

Big Data Benchmark Whitepaper
For more technical information, please download the Revolution R Big Data benchmark whitepaper. Simply register below.

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