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Microsoft R Open / Revolution R Enterprise

Score8.9 out of 10

16 Reviews and Ratings

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What is Microsoft R Open / Revolution R Enterprise?

Microsoft R Open and Revolution R Enterprise are 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 Revolution R Enterprise.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features Microsoft R Open / Revolution R Enterprise has to offer, as determined by TrustRadius' reviewers.
Based on 16 ratings of Microsoft R Open / Revolution R Enterprise's features
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Top Performing Features

  • Single platform for multiple model development

    Single place to build, validate, deliver, and monitor many different models

    Category average: 9.5

  • Visualization

    The product’s support and tooling for analysis and visualization of data.

    Category average: 8.3

  • Interactive Data Analysis

    Ability to analyze data interactively using Python or R Notebooks

    Category average: 8.8

Areas for Improvement

  • Automated Machine Learning

    Tools to help automate algorithm development

    Category average: 8.9

  • MDM Integration

    Integration with MDM and metadata dictionaries

    Category average: 7.8

  • Data Encryption

    Data encryption to ensure data privacy

    Category average: 8.4

Reviews

What users are saying about Microsoft R Open / Revolution R Enterprise.
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Microsoft data analysis made easy

Incentivized
Verified User
Administrator in Information Technology (201-500 employees employees)

Pros

  • Easy to set up on a windows system and integrate to network drives for data integration.
  • Allows easy authenticated user access to the tool to send jobs (one less user/pw on a domain).
  • Easy to integrate to other windows applications that are installed beside the software on the same system and on other windows remote systems.
  • Relatively low issues in the configuration phase to enable data processing.

Cons

  • It is not fully featured vs linux open source versions out there.
  • It is not as easy to find (or as much) online documentation when having issues with the software.
  • Use of this tool alongside WSL applications is still too early. Once WSL gets more general use then this will be a better tool.

Return on Investment

  • We took the learnings of this product and used it towards our replaced platform so no real lost investment. Just time was lost during the project when trying to integrate and use this along side our other ETL tools.
  • This did allow us to identify other improvements (not realized before the project) to data analysis during the way that we have continued to leverage post project migration.

Alternatives Considered

TIBCO Spotfire, StreamSets DataOps Platform and Microsoft Power BI

Usability

Other Software Used

TIBCO Spotfire, StreamSets DataOps Platform

Cracking product, but steep learning curve.

Incentivized
Verified User
Professional in Corporate (10,001+ employees employees)

Pros

  • Comprehensive and highly populated repositories allowing for a lot of statistical work to be done quickly.
  • Forecasting tools are solid and have provided quick and accurate insight.

Cons

  • Very steep learning curve... for such a quick and useful tool the learning curve is unacceptable.
  • Very dangerous in the wrong hands. Because most add-ons are pre-written, you have to trust the community that malicious script is not used.

Return on Investment

  • Better forecasting for resource allocation has saved our organisation hundreds of thousands in conjunction with other strategies.
  • Better visualisation options has allowed smoother internal marketing and internal comms strategies when preparing teams for seasonality.

Alternatives Considered

eGain

Other Software Used

Pythagoras CAD + GIS, Acronis Cyber Cloud for Enterprise

Microsoft R - great for parallel processing!

Incentivized
Verified User
Analyst in Research & Development (1001-5000 employees employees)

Pros

  • Parallel processing
  • Integration with R
  • Open-source

Cons

  • R itself is a programming language, so there is some learning curve
  • Sometimes interferes with upgrading R packages

Return on Investment

  • Increased productivity (Ability for parallel processing freed up time to do other tasks)
  • Easy installation meant no need for dedicated IT support

Alternatives Considered

Microsoft BI

Other Software Used

Microsoft Power BI, Tableau Desktop, TIBCO Spotfire

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

Incentivized
Verified User
Employee in Marketing (11-50 employees employees)

Pros

  • It's free
  • It's open source
  • Does the same statistical and data analysis as other programs

Cons

  • Very high learning curve

Return on Investment

  • Helped save company money versus buying other stat software

Alternatives Considered

IBM SPSS, SAS Advanced Analytics and JMP Pro

Other Software Used

JMP Pro, IBM SPSS

Revolution R Enterprise - Truly revolutionary product!!

Shailesh DeshpandeView profile
Senior Manager - Data Analytics in Professional Services at Capital One (10,001+ employees employees)

Pros

  • 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

Cons

  • 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.

Return on Investment

  • 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.