By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

RESEARCH & RESOURCES

Revolution R Enterprise Update Boosts Big Data Analytics Capabilities

Revolution R Enterprise 6.0 features improve performance and scalability, add new data access options.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Revolution Analytics, a commercial provider of software, services, and support for the open source R project, today announced the general availability of Revolution R Enterprise 6.0, its commercial-grade analytics software built upon the open source R statistics language for R-based enterprise-class data analytics.

The new iteration of Revolution R Enterprise delivers improved performance, productivity, and enterprise readiness for statistical analysis of very large data sets. R developers are now equipped with the robust tools required to meet the growing demands and requirements of modern data-driven businesses.

Using the built-in RevoScaleR package in Revolution R Enterprise, R users can process, visualize, and model terabyte-class data sets in a fraction of the time of legacy products without requiring expensive or specialized hardware.

Key highlights of Revolution R Enterprise 6.0 include:

  • Platform LSF cluster support: Now supports distributed computing on multi-node Platform LSF grids. Support on Windows-based grids provided via Microsoft HPC Server

  • Cloud-based analytics with Azure Burst: Switch computations from a local Microsoft Windows HPC Server cluster to the Azure Cloud with a single command

  • Big-Data Generalized Linear Models: Supports big-data predictive models used in insurance, finance, and biotech industries; use a multi-node server or distributed grid for fast analytics on big data

  • Direct analysis of SAS, SPSS, ASCII, and ODBC data: Analyze proprietary data formats without the need for SAS/SPSS licenses

  • Updated R 2.14.2 engine: Improves performance and parallel programming capabilities; Revolution Analytics’ open-source RHadoop project (for Hadoop integration) is updated to work with this new engine

More information is available at www.revolutionanalytics.com.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.