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Microsoft R (formerly Revolution R) is a big data R distribution for servers, Hadoop clusters, and data warehouses. Microsoft acquired original developer Revolution Analytics in 2016. Microsoft R is available in two editions: Microsoft R Open (formerly Revolution R Open) and Microsoft R Enterprise (formerly Revolution R Enterprise).Microsoft R - great for parallel processing!Microsoft R is used by specific users when parallel processing is desired. Otherwise, most are fine with Base R.,Parallel processing Integration with R Open-source,R itself is a programming language, so there is some learning curve Sometimes interferes with upgrading R packages,8,Increased productivity (Ability for parallel processing freed up time to do other tasks) Easy installation meant no need for dedicated IT support,Microsoft BI,Microsoft Power BI, Tableau Desktop, TIBCO SpotfireR is great if you're looking for free/open source stat softwareMicrosoft R is typically used for statistics and data analysis needs for marketing data and developing machine learning algorithms. It helps solve optimization and developing predictive models. R is currently being used by one person in the department considering the size of the company, but looking to add more users of R sooner or later.,It's free It's open source Does the same statistical and data analysis as other programs,Very high learning curve,7,Helped save company money versus buying other stat software,IBM SPSS, SAS Advanced Analytics and JMP Pro,JMP Pro, IBM SPSSRevolution R Enterprise - Truly revolutionary product!!I have used Revolution Analytics Rev-R enterprise 7.0 for data analytics project. I was also engaged in beta-testing release D as well. Rev-R actually solves a Big Data gap by allowing data scientists to load big data in Hadoop HDFS and run complex algorithms such as Random Forest or decision trees by running the algorithms in a distributed way on the cluster. That helps to draw insights from big data sets without having to script complex programs in say Java or Python.,It allows distributed algorithm runs on Hadoop HDFS cluster It allows using different file formats such as SAS7BAT files or complex files in tab or comma delimited making data munging easier It provides scalable solutions by allowing users to re-use R scripts and distributing the computing over nodes through RHadoop,When I reviewed the product - release D, at that time, "decision forest algorithm" was not available. The tool needs to be more integrated with other data infrastructure tools such as Teradata, Informatica etc. as well as may be with new Hadoop distribution platforms such as Cloudera or Hortonworks so the users don't have to install the tool from scratch I would also like to see improved capability around GUI and integration with other ecosystem. As the Big Data ecosystem would evolve in next 2-3 years, I would like to see Rev-R becoming more compatible with start-ups as well.,8,Faster time-to-market on analytics and insights Reduction on Level of Effort in terms of running complex algorithmm thus increased job satisfaction Improved job empowerment and skills/competency re-use.,,7
  3. Microsoft R Reviews
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Microsoft R (formerly Revolution R)
15 Ratings
Score 8.1 out of 101
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Microsoft R Reviews

Microsoft R
15 Ratings
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Score 8.1 out of 101

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January 26, 2019

Microsoft R - great for parallel processing!

Verified User
Score 8 out of 10
Vetted Review
Verified User
Review Source
Microsoft R is used by specific users when parallel processing is desired. Otherwise, most are fine with Base R.
  • Parallel processing
  • Integration with R
  • Open-source
  • R itself is a programming language, so there is some learning curve
  • Sometimes interferes with upgrading R packages
Well suited if parallel processing is desired, eg. giant datasets or complex calculations. Otherwise, R studio might be sufficient. In either case, some level of programming in R will be required.
Read this authenticated review
No photo available
November 27, 2018

R is great if you're looking for free/open source stat software

Verified User
Score 7 out of 10
Vetted Review
Verified User
Review Source
Microsoft R is typically used for statistics and data analysis needs for marketing data and developing machine learning algorithms. It helps solve optimization and developing predictive models. R is currently being used by one person in the department considering the size of the company, but looking to add more users of R sooner or later.
  • It's free
  • It's open source
  • Does the same statistical and data analysis as other programs
  • Very high learning curve
It's well suited for developing machine learning algorithms and statistical/data analysis. However, analysis in R does take some time so if you're churning a high number of projects, you might want to consider something else.
Read this authenticated review
Shailesh Deshpande profile photo
November 26, 2014

Revolution R Enterprise - Truly revolutionary product!!

Shailesh Deshpande
Score 8 out of 10
Vetted Review
Verified User
Review Source
I have used Revolution Analytics Rev-R enterprise 7.0 for data analytics project. I was also engaged in beta-testing release D as well. Rev-R actually solves a Big Data gap by allowing data scientists to load big data in Hadoop HDFS and run complex algorithms such as Random Forest or decision trees by running the algorithms in a distributed way on the cluster. That helps to draw insights from big data sets without having to script complex programs in say Java or Python.
  • It allows distributed algorithm runs on Hadoop HDFS cluster
  • It allows using different file formats such as SAS7BAT files or complex files in tab or comma delimited making data munging easier
  • It provides scalable solutions by allowing users to re-use R scripts and distributing the computing over nodes through RHadoop
  • When I reviewed the product - release D, at that time, "decision forest algorithm" was not available.
  • The tool needs to be more integrated with other data infrastructure tools such as Teradata, Informatica etc. as well as may be with new Hadoop distribution platforms such as Cloudera or Hortonworks so the users don't have to install the tool from scratch
  • I would also like to see improved capability around GUI and integration with other ecosystem. As the Big Data ecosystem would evolve in next 2-3 years, I would like to see Rev-R becoming more compatible with start-ups as well.
Revolution Analytics is a very compelling product for Big Data Analytics. It allows distributed computing over multiple hadoop nodes thus allowing HDFS to do its role cleanly i.e. cheap massive storage and it does good job of running algorithms using R or similar programming language on Hadoop. It would be definitely advantage for the organization who uses either R or SAS as their statistical model development tool as Rev-R support both the platforms. Overall, very positive experience with Rev-R.
Read Shailesh Deshpande's full review

Microsoft R Scorecard Summary

Likelihood to Recommend (15)
8.1
Likelihood to Renew (1)
7.0

Feature Scorecard Summary

Connect to Multiple Data Sources (1)
8
Extend Existing Data Sources (1)
8
Automatic Data Format Detection (1)
8
Visualization (1)
8
Interactive Data Analysis (1)
7
Interactive Data Cleaning and Enrichment (1)
8
Data Transformations (1)
8
Built-in Processors (1)
8
Multiple Model Development Languages and Tools (1)
9
Single platform for multiple model development (1)
8
Self-Service Model Delivery (1)
8

About Microsoft R

Microsoft R (formerly Revolution R) is a big data R distribution for servers, Hadoop clusters, and data warehouses. Microsoft acquired original developer Revolution Analytics in 2016.

Microsoft R is available in two editions: Microsoft R Open (formerly Revolution R Open) and Microsoft R Enterprise (formerly Revolution R Enterprise).

Categories:  Data Science

Microsoft R Technical Details

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