Revolution R Enterprise: Production-Grade Analysis for Business & Large-Scale Research
Revolution R Enterprise is designed for corporations, government agencies and academic researchers that require the highest levels of performance, reliability and computational power for their large-scale data analysis. It is optimized to run the fastest computations of any R software on a wide-range of platforms -- and features a visual development environment to make programmers and users much more productive.
A subscription to Revolution R Enterprise also includes direct access to our expert technical support team.
Take advantage of:
- The speed & reliability benefits of Revolution R.
- Visual Productivity: Revolution R Enterprise has a graphic IDE that enables faster, more accurate R programming
- Visual Debugging: Create reliable R applications faster. Create a breakpoint and step through code with a single click.
- 64-Bit Scalability: Analyze larger data sets on 64-bit Windows, taking full advantage of your equipment's RAM.
- Wide Platform Support: Available for 32-bit and 64-bit Windows and Red Hat Enterprise Linux.
- Parallel Processing Power: Significantly reduce computation time for simulations, optimizations, segmented data analysis and more.
- On-Call Tech Support
- NEW! Big Data Analysis for Terabyte-Class File Structures — A comprehensive solution that provides fast, scalable statistical analysis of large data sets without the RAM barrier of standard R.
Improve Performance on Multiprocessor Workstations
Revolution R Enterprise is built with high-performance compilers and linked with multi-threaded math libraries to improve performance. For some computationally-intensive applications, Revolution R Enterprise shortens the time required for R to calculate results, especially on multi-core or multi-processor hardware.
Big Data Analysis for Terabyte-Class File Structures
Revolution R Enterprise introduces new levels of capacity and speed for analyzing large data sets with R. This comprehensive solution combines external memory algorithms, distributed parallel computing, high performance data access and an extensible framework. It features a collection of the most-common 'Big Data' statistical procedures that are scalable across cores and computers, and are orders of magnitude faster than using standard R. Read more here.
Harness the Power of Clusters with ParallelR
For the most computationally-challenging problems, Revolution R Enterprise simplifies the process of harnessing the computational power of a local cluster of networked machines. The included suite of ParallelR libraries for parallel and distributed processing make it easy to code simulations, model optimization and backtesting, and other iterative operations that can run in parallel on multiple machines, greatly reducing the computation time compared to using a single workstation.
Analyze Larger Data Sets on Windows with 64-bit Support
64-bit Windows support greatly increases the amount of memory that can be accessed for statistical computations. 32-bit versions of R on Windows are limited to less than 3 gigabytes of RAM. Revolution R Enterprise with a 64-bit support solves the memory constraints, allowing you to make use of all of your RAM and analyze even larger data sets with R on Windows.
Rely on Expert Support
Backed by the resources and expertise of the leading commercial R company, Revolution Analytics enables you to refocus your valuable time on the things that you need most—predictive analytics tailored to your business.
- Stable build and release cycle, support for regulated environments
- Enterprise-level support, including installation, configuration, and programming.
- Top-of-the-line training and consulting services by Revolution’s network of R experts
- Register for an Evaluation Copy of Revolution R Enterprise (on Windows 32-bit)
- Free Copy of Revolution R Enterprise (Academic Community Only)
- Buy Now
Coming Soon! Read Our Product Roadmap
- Integrated Web Services—A robust programming platform used to deliver R functionality on the Web. Supports both anonymous R Script execution, and authenticated users working in a secure, stateful environment.
- Comprehensive Data Analysis GUI—A Web-based user interface that radically improves the usability of R, accelerates productivity and enables rapid learning for both novice and experts. Users will be able to seamlessly transition back and forth between R code and dialogs, and be exposed to only as much R code as they want to see. Built on a fully-extensible framework that allows for creation and modifying UI elements (menus, dialogs, outputs), users will be able to customize and extend the UI for their needs.
- Products and services to help migrate data and applications from legacy statistical systems to R.