Microsoft R Open / Revolution R Enterprise

Microsoft R Open / Revolution R Enterprise

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Score 8.1 out of 100
Microsoft R Open / Revolution R Enterprise

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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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Product Details

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.

Microsoft R Open / Revolution R Enterprise Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

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) and the Computer Software industry.
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Reviews and Ratings

 (17)

Ratings

Reviews

(1-5 of 5)
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Score 6 out of 10
Vetted Review
Verified User
Review Source
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.
Score 5 out of 10
Vetted Review
Verified User
Review Source
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.
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.
Shailesh Deshpande | TrustRadius Reviewer
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.
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