Revolution Analytics

Revolution Analytics (formerly REvolution Computing) is a statistical software company focused on developing open source and "open-core"[2] versions of the free and open source software R for enterprise, academic and analytics customers. Revolution Analytics was founded in 2007 as REvolution Computing providing support and services for R in a model similar to Red Hat's approach with Linux in the 1990s as well as bolt-on additions for parallel processing. In 2009 the company received nine million in venture capital from Intel along with a private equity firm and named Norman H. Nie as their new CEO. In 2010 the company announced the name change as well as a change in focus. Their core product, Revolution R, would be offered free to academic users and their commercial software would focus on big data, large scale multiprocessor (or "high performance") computing, and multi-core functionality.

Microsoft announced on January 23, 2015 that they had reached an agreement to purchase Revolution Analytics for an as yet undisclosed amount.[3][4]

Revolution Analytics
Subsidiary
IndustryStatistical software
PredecessorRevolution Computing
Founded2007
Headquarters
Mountain View, CA
,
United States
Key people
David Rich, CEO
ProductsRevolution R
Revenue8-11 Million in 2009
OwnerMicrosoft[1]
ParentMicrosoft
Websiterevolutionanalytics.com

Founding and venture capital

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.[5][6] 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.[7] 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.[8][9] A year later the company opened an additional office in Seattle.[10]

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.[11] A number of Intel employees also joined Revolution Analytics as employees or as advisors.[7] Concurrently, the company changed their name to Revolution Analytics and invited Norman Nie, founder of SPSS, to serve as CEO.[12][13] 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.[14] David Rich replaced Norman Nie as CEO in February 2012.[15]

High performance computing, big data and the shift to analytics

Unlike analytics products offered by SAS Institute, R does not natively handle datasets larger than main memory. In 2010 Revolution Analytics introduced ScaleR, a package for Revolution R Enterprise designed to handle big data through a high-performance disk-based data store called XDF (not related to IBM's Extensible Data Format) and high performance computing across large clusters.[16] The release of ScaleR marked a push away from consulting and services alone to custom code and a la carte package pricing.[17] ScaleR also works with Apache Hadoop and other distributed file systems and Revolution Analytics has partnered with IBM to further integrate Hadoop into Revolution R.[18][19] Packages to integrate Hadoop and MapReduce into open source R can also be found on the community package repository, CRAN.[20][21]

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.[22] 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.[23][24][25][26][27] 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.[28]

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.[29]) 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.[30][31])

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.
  • Microsoft R Server Developer Edition a free version for developers that with a feature set akin to the commercial edition.
  • Microsoft Data Science Virtual Machine an analytics tool developed by the Revolution Analytics division premiered in January 2015.
  • Microsoft R Open a rebranded version of Revolution R Open.[32][33][34]

See also

References

  1. ^ Kniskern, Kip (6 April 2015). "Microsoft completes Revolution Analytics acquisition: bringing big data analytics "to everyone"". WinBeta.
  2. ^ Blankenhorn, Dana. "Revolution rebooting R with name change and new strategy". ZDNet. Retrieved 14 July 2011.
  3. ^ "Microsoft to acquire Revolution Analytics to help customers find big data value with advanced statistical analysis". Official Microsoft Blog Post. Retrieved 24 January 2015.
  4. ^ "Revolution Analytics joins Microsoft". Official RA Announcement. Retrieved 24 January 2015.
  5. ^ Bogdon, Steve. "One-on-One with David Smith". Dashboard Insight. Retrieved 31 August 2011.
  6. ^ Leidel, John. "Revolution Analytics Defines The Future of R-Statistics". InsideHPC. Retrieved 31 August 2011.
  7. ^ a b Shankland, Stephen. "Intel open-source expert heads to start-up". cnet News. CBS Interactive. Retrieved 14 July 2011.
  8. ^ Vance, Ashlee (8 January 2009). "R You Ready for R?". The New York Times. Retrieved 14 July 2011.
  9. ^ Davies, Kevin (14 July 2008). "The New England Computing Revolution". Bio-IT World Magazine. Retrieved 14 July 2011.
  10. ^ "REvolution Computing expands senior management team, opens west coast headquarters in Seattle". Revolution Analytics press release. Retrieved 31 August 2011.
  11. ^ "Intel capital makes series a investment in REvolution Computing—investment highlights Intel capital's open source incubator program". Revolution Analytics press release. Retrieved 31 August 2011.
  12. ^ Rao, Leena. "REvolution Computing Raises $9 Million". TechCrunch. Retrieved 14 July 2011.
  13. ^ Higginbotham, Stacey (2 February 2011). "The Data Whisperer: Norman Nie of Revolution Analytics". The New York Times. Retrieved 14 July 2011.
  14. ^ Prickett Morgan, Timothy. "Open source R in commercial Revolution". The Register. Retrieved 1 September 2011.
  15. ^ "Revolution Analytics Names David Rich New CEO".
  16. ^ Gardner, Dana. "Revolution Analytics targets R language, platform at growing need to handle 'big data' crunching challenges". ZDNet. Retrieved 14 July 2011.
  17. ^ Morgan, Timothy Prickett (3 August 2010). "Revolution lets R to stats on big data". The Register. Retrieved 14 July 2011.
  18. ^ Harris, Derrick (14 March 2011). "IBM Creates Big Data Frankenstein With Netezza-R Fusion". The New York Times. Retrieved 14 July 2011.
  19. ^ Rosenberg, Dave. "Open-source 'R' gets Hadoop integration". cnet News. CBS Interactive. Retrieved 14 July 2011.
  20. ^ Smith, David. "Hadoop ported to R (and it's trivial)". Revolutions. Revolution Analytics. Retrieved 1 September 2011.
  21. ^ Brown, Christopher. "Package:mapReduce". CRAN. The R Project. Retrieved 1 September 2011.
  22. ^ Xavier, Jon (15 August 2010). "Revolution Analytics wants to overthrow old statistical tools". Silicon Valley Business Journal. Retrieved 14 July 2011.
  23. ^ Hardy, Quentin (24 May 2010). "Power in the Numbers". Forbes Magazine. Retrieved 14 July 2011.
  24. ^ McNally, Steve (10 November 2010). "Names You Need to Know in 2011: R Data Analysis Software". Forbes. Retrieved 14 July 2011.
  25. ^ Olds, Dan. "'R' is for Revolution Analytics". The Register. Retrieved 14 July 2011.
  26. ^ Lawson, Lorraine. "Another Tool for Analyzing Big Data". IT Business Edge. Retrieved 14 July 2011.
  27. ^ Hardy, Quentin (1 February 2011). "Another Open Source Swipe at IBM and SAS". Forbes. Retrieved 14 July 2011.
  28. ^ Bodkin, Ron. "Revolution Analytics - Commercializing R for Statistics". InfoQ. Retrieved 14 July 2011.
  29. ^ "Revolution Analytics Introduces Revolution R Open and Revolution R Plus".
  30. ^ "Free single user subscription to Revolution R Enterprise". Revolution Analytics website. Retrieved 2 September 2011.
  31. ^ Finley, Klint. "Revolution Analytics Offers Free Software for Kaggle Competitors". ReadWriteWeb. Archived from the original on 4 September 2012. Retrieved 14 July 2011.
  32. ^ Robinson, Daniel. "Microsoft unveils free Microsoft R Server Developer Edition for big data analytics". V3. Retrieved 13 January 2016.
  33. ^ Viswav, Pradeep. "Microsoft R Server Now Available For Hadoop, Linux And Teradata". Microsoft-News. Retrieved 13 January 2016.
  34. ^ Foley, Mary Jo. "Microsoft delivers free version of its R analytics Server for developers. Microsoft is rolling out a free version of its R big-data analytics server for developers alongside the rest of the newly rebranded Revolution Analytics servers". ZDNet - All About Microsoft. Retrieved 13 January 2016.

Further reading

External links

  • Revolutions, the Revolution Analytics blog
  • About page for Revolution Analytics
  • MRAN, the distribution site for Revolution R Open
  • Interview with Revolution Analytics COO Jeff Erhardt about R, Hadoop and business analytics
BMDP

BMDP was a statistical package developed in 1965 by Wilfrid Dixon at the University of California, Los Angeles. The acronym stands for Bio-Medical Data Package, the word package was added by Dixon as the software consisted of a series of programs (subroutines) which performed different parametric and nonparametric statistical analyses.BMDP was originally distributed for free. It was later sold by Statsols, who originally was a subsidiary of BMDP, but through a management buy-out formed the now independent company Statistical Solutions Ltd, known as Statsols. BMDP is no longer available as of 2017. The company decided to only offer its other statistical product nQuery Sample Size Software.

BV4.1 (software)

The application software BV4.1 is an easy-to-use tool for decomposing and seasonally adjusting monthly or quarterly economic time series by version 4.1 of the Berlin procedure. It is being developed by the Federal Statistical Office of Germany. The software is released as freeware for non-commercial purposes.

Data Desk

Data Desk is a software program for visual data analysis, visual data exploration, and statistics. It carries out Exploratory Data Analysis (EDA) and standard statistical analyses by means of dynamically linked graphic data displays that update any change simultaneously.

Dataplot

Dataplot is a public domain software system for scientific visualization and statistical analysis. It was developed at the National Institute of Standards and Technology. Dataplot's source code is available.

GAUSS (software)

GAUSS is a matrix programming language for mathematics and statistics, developed and marketed by Aptech Systems. Its primary purpose is the solution of numerical problems in statistics, econometrics, time-series, optimization and 2D- and 3D-visualization. It was first published in 1984 for MS-DOS and is currently also available for Linux, macOS and Windows.

LISREL

LISREL (linear structural relations) is a proprietary statistical software package used in structural equation modeling (SEM) for manifest and latent variables. It requires a "fairly high level of statistical sophistication".

List of statistical packages

Statistical software are specialized computer programs for analysis in statistics and econometrics.

Microfit

Microfit is a statistics package developed by Bahram Pesaran and M. Hashem Pesaran, and published by Oxford University Press. It is designed for econometric modelling with time series data.

NCSS (statistical software)

NCSS is a statistics package produced and distributed by NCSS, LLC. Created in 1981 by Jerry L. Hintze, NCSS, LLC specializes in providing statistical analysis software to researchers, businesses, and academic institutions. It also produces PASS Sample Size Software which is used in scientific study planning and evaluation.

The NCSS package includes over 250 documented statistical and plot procedures. NCSS imports and exports all major spreadsheet, database, and statistical file formats.

Norman H. Nie

Norman H. Nie was an American social scientist, university professor, inventor, and pioneering technology entrepreneur, known for being one of the developers of the Statistical Package for the Social Sciences (SPSS). Born in St. Louis, Missouri in 1943, Nie was educated at the University of the Americas in Mexico City, Washington University in St. Louis and Stanford University, where he received a Ph.D. in political science in 1971. He died on April 2nd, 2015 of lung cancer.

R (programming language)

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in popularity in recent years.. as of June 2019, R ranks 22nd in the TIOBE index, a measure of popularity of programming languages.A GNU package, source code for the R software environment is written primarily in C, Fortran and R itself, and is freely available under the GNU General Public License. Pre-compiled binary versions are provided for various operating systems. Although R has a command line interface, there are several graphical user interfaces, such as RStudio, an integrated development environment.

S-PLUS

S-PLUS is a commercial implementation of the S programming language sold by TIBCO Software Inc.

It features object-oriented programming capabilities and advanced analytical algorithms.

Due to the increasing popularity of the open source S successor R, TIBCO Software released the TIBCO Enterprise Runtime for R (TERR) as an alternative R interpreter.

SPC XL

SPC XL is a statistical add-in for Microsoft Excel. SPC XL is a replacement for SPC KISS which was released in 1993 making it one of the oldest statistical addons to Excel. SPC XL provides statistical analysis including Control chart, Process capability, Histogram, Pareto chart, and ANOVA Gage R&R.

SPC XL is compatible with Microsoft Excel 2000, 2002 & 2003, and Excel 2007.

SYSTAT (software)

SYSTAT is a statistics and statistical graphics software package, developed by Leland Wilkinson in the late 1970s, who was at the time an assistant professor of psychology at the University of Illinois at Chicago. Systat was incorporated in 1983 and grew to over 50 employees.

In 1995 SYSTAT was sold to SPSS Inc., who marketed the product to a scientific audience under the SPSS Science division. By 2002, SPSS had changed its focus to business analytics and decided to sell SYSTAT to Cranes Software in Bangalore, India. Cranes formed Systat Software, Inc. to market and distribute SYSTAT in the US, and a number of other divisions for global distribution. The headquarters are in Chicago, Illinois.

By 2005, SYSTAT was in its eleventh version having a revamped codebase completely changed from Fortran into C++. Version 13 came out in 2009, with improvements in the user interface and several new features.

SimFiT

Simfit is a free open-source Windows package for simulation, curve fitting, statistics, and plotting, using a library of models or user-defined equations. Simfit has been in continuous development for many years by Bill Bardsley of the University of Manchester. Although it is written for Windows, it can easily be installed and used on Linux machines via WINE.

Simfit is developed using Silverfrost Limited's FTN95 Fortran Compiler and is currently featured on their website as a showcased application. The graphical functionality in Simfit has been released as a Fortran library called Simdem which allows the programmer to produce charts and graphs with just a few lines of Fortran. A version of Simdem is shipped with the Windows version of the NAG Fortran Builder.A Spanish-language version of Simfit is maintained by a team in Salamanca.

SmartPLS

SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method. Besides estimating path models with latent variables using the PLS-SEM algorithm, the software computes standard results assessment criteria (e.g., for the reflective and formative measurement models, the structural model, and the goodness of fit) and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, importance-performance map analysis, segmentation, multigroup). Since SmartPLS is programmed in Java, it can be executed and run on different computer operating systems such as Windows and Mac.

StatXact

StatXact is a statistical software package for analyzing data using exact statistics. It calculates exact p-values and confidence intervals for contingency tables and non-parametric procedures. It is marketed by Cytel Inc.

The Unscrambler

The Unscrambler X is a commercial software product for multivariate data analysis, used for calibration of multivariate data which is often in the application of analytical data such as near infrared spectroscopy and Raman spectroscopy, and development of predictive models for use in real-time spectroscopic analysis of materials. The software was originally developed in 1986 by Harald Martens and later by CAMO Software.

WinBUGS

WinBUGS is statistical software for Bayesian analysis using Markov chain Monte Carlo (MCMC) methods.

It is based on the BUGS (Bayesian inference Using Gibbs Sampling) project started in 1989. It runs under Microsoft Windows, though it can also be run on Linux or Mac using Wine.It was developed by the BUGS Project, a team of UK researchers at the MRC Biostatistics Unit, Cambridge, and Imperial College School of Medicine, London.

The last version of WinBUGS was version 1.4.3, released in August 2007. Development is now focused on OpenBUGS, an open-source version of the package. WinBUGS 1.4.3 remains available as a stable version for routine use, but is no longer being developed.

Public domain
Open-source
Freeware
Commercial
People
Products
Company
Campaigns
Criticism
Litigation
Acquisitions

This page is based on a Wikipedia article written by authors (here).
Text is available under the CC BY-SA 3.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.