Revolution Analytics

REvolution Computing was founded in New Haven, Connecticut in 2007 by Richard Schultz, Martin Schultz, Steve Weston and Kirk Mettler. At the time Martin Schultz was also the Watson Professor of Computer Science at Yale University. Adding parallel computing to R allowed the company to net large gains in speed for many common analytics operations and early clients like Pfizer took advantage of REvolution R to see large performance gains using R on computing clusters. While the improvements to core R were released under the GNU General Public License (GPL), REvolution provides support and services to customers of their commercial product and had considerable early success with life sciences and pharmaceutical companies. A year later the company opened an additional office in Seattle.

In 2009 REvolution Computing accepted nine million dollars in venture capital from Intel and North Bridge Venture Partners, a private equity firm. Intel had previously supported REvolution Computing with venture capital in 2008. A number of Intel employees also joined Revolution Analytics as employees or as advisors. Concurrently, the company changed their name to Revolution Analytics and invited Norman Nie, founder of SPSS, to serve as CEO. This change in management corresponded with a movement toward building a more complete set of software for commercial users; prior to 2009 Revolution had been focused on building parallel processing functionality into the then mostly single threaded R. David Rich replaced Norman Nie as CEO in February 2012.

Market position

In comparison to developers of similar analytics tools, Revolution Analytics is a small company; in 2010 the company had a projected revenue of $8–11 million, but no official records of revenue or profit were published in their projections. According to Nie, the increased use of R - a fully fledged programming language, in contrast to other analytics packages - within academia is helping the company to grow quickly. Community vice president David Smith suggested that movement away from "black box" analytics toward open source tools in general supported vendors like Revolution over solely proprietary tools.

Products

Revolution Analytics' product Revolution R is available in three editions. Revolution R Open is a free and open source distribution of R with additional features for performance and reproducibility. Revolution R Plus provides technical support and open-source assurance (legal indemnification) subscriptions for Revolution R Open and other open-source components that work with R. (These products were first announced October 15, 2014.) Revolution R Enterprise adds proprietary components to support statistical analysis of Big Data, and is sold as subscriptions for workstations, servers, Hadoop and databases. (Single-user licenses are available free for academic users as well as users competing in Kaggle data mining competitions.)

In January 2015 Microsoft rebranded and renewed several Revolution Analytics products and offerings for Hadoop, Teradata Database, SUSE Linux, Red Hat, and Microsoft Windows. Microsoft made several of these R-based products free of charge for developers - these products included:

Microsoft R Server which was previously called Revolution R Enterprise for Hadoop, Linux and Teradata and included new Microsoft enterprise support and purchasing options. Microsoft R Server was further made available to students through the Microsoft DreamSpark programme.