Microsoft R Reviews

16 Ratings
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Score 5.9 out of 100

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Reviews (1-5 of 5)

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November 30, 2020
Anonymous | TrustRadius Reviewer
Score 6 out of 10
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We implemented Microsoft R along side Windows Subsystem for Linux with Airflow to do ETL data loading last year through until late this year. We had some success with both products but due to limitations to Airflow and R not being completely fully functioning versus open source R suites we have cancelled both tools not long ago. I can say during its time it was easy to set up, R was easier to use to send processing jobs through than other solutions before and after. It just did not meet our needs once we got ETL loading to a more robust point.
  • 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.
  • 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.
If you are a MS shop specifically, or have more generic data requirement needs from Microsoft sourced data this will work well. If you have a lot of disparate data across a number of unique platforms/cloud systems/3rd party hosted data warehouses then this product will have issues or a lack of documentation on the net. Performance-wise this product is equal to other R platforms out there.
MS support is good but sometimes they are slow at finding resolutions to either new issues or understanding the customers needs in feature issues.
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December 23, 2019
Anonymous | TrustRadius Reviewer
Score 5 out of 10
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My organisation has 40+ services ranging from 00s to millions of users, therefore iterations, changes and forecasting must be done in a controlled, rigorous and statistically appropriate manor as well as using tools that are efficient and provide analytics the ability to interrogate data en masse. R provides this.
  • 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.
  • 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.
The main use of R for us is in structural forecasting and joining data together.

Using R to forecast gives our analysts the flexibility to interrogate a lot of data to give better modelling accuracy. This includes plugging in per second and minute data over multiple years for services with 100s of millions of interactions per year. Our seasonality means we can often shoot up from 00's to millions of users in a matter of hours, so knowing this will help allocate resource, both server, helplines and support.
Generally support comes through the forums and user generated channels which are helpful, easy to access, quickly turned around and provided by knowledgeable users. However the support channels are not employees and the channels are often used as a way to learn quick difficult elements of R. Better design, users interface and tutorial options would alleviate the need for this sort of interaction.
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January 26, 2019
Anonymous | TrustRadius Reviewer
Score 8 out of 10
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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.
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November 27, 2018
Anonymous | TrustRadius Reviewer
Score 7 out of 10
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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.
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November 26, 2014
Shailesh Deshpande | TrustRadius Reviewer
Score 8 out of 10
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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.
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Feature Scorecard Summary

Connect to Multiple Data Sources (3)
Extend Existing Data Sources (3)
Automatic Data Format Detection (3)
MDM Integration (1)
Visualization (3)
Interactive Data Analysis (3)
Interactive Data Cleaning and Enrichment (3)
Data Transformations (3)
Data Encryption (1)
Built-in Processors (3)
Multiple Model Development Languages and Tools (3)
Automated Machine Learning (2)
Single platform for multiple model development (3)
Self-Service Model Delivery (3)
Flexible Model Publishing Options (2)
Security, Governance, and Cost Controls (2)

What is 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

Frequently Asked Questions

What is 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).

What is Microsoft R's best feature?

Reviewers rate Single platform for multiple model development highest, with a score of 7.7.

Who uses Microsoft R?

The most common users of Microsoft R are from Enterprises and the Financial Services industry.