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Microsoft R Open / Revolution R Enterprise

Microsoft R Open / Revolution R Enterprise

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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Pricing

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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 / 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).
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Comparisons

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Reviews and Ratings

(17)

Attribute Ratings

Reviews

(1-1 of 1)
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Score 6 out of 10
Vetted Review
Verified User
Incentivized
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.
Platform Connectivity (3)
60%
6.0
Connect to Multiple Data Sources
60%
6.0
Extend Existing Data Sources
60%
6.0
Automatic Data Format Detection
60%
6.0
Data Exploration (2)
70%
7.0
Visualization
70%
7.0
Interactive Data Analysis
70%
7.0
Data Preparation (3)
53.33333333333333%
5.3
Interactive Data Cleaning and Enrichment
50%
5.0
Data Transformations
50%
5.0
Built-in Processors
60%
6.0
Platform Data Modeling (4)
60%
6.0
Multiple Model Development Languages and Tools
50%
5.0
Automated Machine Learning
50%
5.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
60%
6.0
Model Deployment (2)
65%
6.5
Flexible Model Publishing Options
60%
6.0
Security, Governance, and Cost Controls
70%
7.0
  • 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.
R is decent for our needs but in the end didn't quite solve all of our needs so moved on. It is a good tool so far. its been a couple months since we last touched it so with changes continuing and more wide spread use and more info being published this tool will improve. Depending upon your needs this can be very easy for you to setup, use, and maintain when compared to other tools out there. My suggestion is to ensure you fully understand your use cases first with data sources identified to ensure this tool can meet your needs.
It is good, easy to use, improvements are being made to the product and more info being shared in the community. It just needs some more time to become more integrated to other platforms and tools/data 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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