Microsoft data analysis made easy
We implemented Microsoft R along side Windows Subsystem for Linux with Airflow to do ETL data loading last year through until late this …
Overview
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…
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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…
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What is Microsoft R Open / Revolution R Enterprise?
Microsoft R Open / Revolution R Enterprise Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
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.
Reviewers rate Single platform for multiple model development highest, with a score of 8.
The most common users of Microsoft R Open / Revolution R Enterprise are from Enterprises (1,001+ employees).
Comparisons
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Reviews and Ratings
(17)Attribute Ratings
Reviews
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January 26, 2019
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
60%
6.0
75%
7.5
60%
6.0
62.5%
6.3
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- Increased productivity (Ability for parallel processing freed up time to do other tasks)
- Easy installation meant no need for dedicated IT support
The two are different products for different purposes. But for someone who has little or no experience in R programming, Power BI would be better for starting with. Having said that, Microsoft R is built on R, thus allowing for customization of complex calculations not typically available otherwise.
November 26, 2014
Revolution R Enterprise - Truly revolutionary product!!
Score 8 out of 10
Vetted Review
Verified User
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.
- 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.
My understanding is Revolution Analytics Enterprise version is not cheap. Thus alternatives for the software could be Hadoop/HDFS level programming using Python and Mahout to achieve same distributed computing. Additionally, Cloudera is coming up with new data science tool called Oryx, which could be competitor to Rev-R. But, the tool selection at every organization would depend on the strategy and cost that is budgeted.