TrustRadius
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).R 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
Unspecified
Microsoft R (formerly Revolution R)
11 Ratings
Score 7.3 out of 101
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>TRScore

Microsoft R Reviews

Microsoft R
11 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 7.3 out of 101
Show Filters 
Hide Filters 
Filter 12 vetted Microsoft R reviews and ratings
Clear all filters
Overall Rating
Reviewer's Company Size
Last Updated
By Topic
Industry
Department
Experience
Job Type
Role
Show All Filters
More Filters 
Less Filters 

Reviews (1-2 of 2)

  Vendors can't alter or remove reviews. Here's why.
No photo available
November 27, 2018

Microsoft R Review: "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

Microsoft R Review: "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 (11)
7.3
Likelihood to Renew (1)
7.0

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

Operating Systems: Unspecified
Mobile Application:No