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…
Cracking product, but steep learning curve.
Microsoft R - great for parallel processing!
R is great if you're looking for free/open source stat software
Revolution R Enterprise - Truly revolutionary product!!
Awards
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Pricing
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…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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What is Microsoft R Open / Revolution R Enterprise?
Microsoft R Open / Revolution R Enterprise Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(17)Attribute Ratings
Reviews
(1-4 of 4)Microsoft data analysis made easy
- 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.
- Connect to Multiple Data Sources
- 60%6.0
- Extend Existing Data Sources
- 60%6.0
- Automatic Data Format Detection
- 60%6.0
- Visualization
- 70%7.0
- Interactive Data Analysis
- 70%7.0
- Interactive Data Cleaning and Enrichment
- 50%5.0
- Data Transformations
- 50%5.0
- Built-in Processors
- 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
- 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.
Cracking product, but steep learning curve.
- 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.
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.
- Connect to Multiple Data Sources
- 90%9.0
- Extend Existing Data Sources
- 70%7.0
- Automatic Data Format Detection
- 80%8.0
- MDM Integration
- 30%3.0
- Visualization
- 70%7.0
- Interactive Data Analysis
- 50%5.0
- Interactive Data Cleaning and Enrichment
- 80%8.0
- Data Transformations
- 60%6.0
- Data Encryption
- 30%3.0
- Built-in Processors
- 60%6.0
- Multiple Model Development Languages and Tools
- 60%6.0
- Automated Machine Learning
- 50%5.0
- Single platform for multiple model development
- 70%7.0
- Self-Service Model Delivery
- 60%6.0
- Flexible Model Publishing Options
- 70%7.0
- Security, Governance, and Cost Controls
- 40%4.0
- 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.
Microsoft R - great for parallel processing!
- 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
- Connect to Multiple Data Sources
- 80%8.0
- Extend Existing Data Sources
- 80%8.0
- Automatic Data Format Detection
- 80%8.0
- MDM Integration
- N/AN/A
- Visualization
- 80%8.0
- Interactive Data Analysis
- 70%7.0
- Interactive Data Cleaning and Enrichment
- 80%8.0
- Data Transformations
- 80%8.0
- Data Encryption
- N/AN/A
- Built-in Processors
- 80%8.0
- Multiple Model Development Languages and Tools
- 90%9.0
- Automated Machine Learning
- N/AN/A
- Single platform for multiple model development
- 80%8.0
- Self-Service Model Delivery
- 80%8.0
- Flexible Model Publishing Options
- N/AN/A
- Security, Governance, and Cost Controls
- N/AN/A
- Increased productivity (Ability for parallel processing freed up time to do other tasks)
- Easy installation meant no need for dedicated IT support
R is great if you're looking for free/open source stat software
- It's free
- It's open source
- Does the same statistical and data analysis as other programs
- Very high learning curve
- Helped save company money versus buying other stat software