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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 5 out of 10
Vetted Review
Verified User
Incentivized
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.
Platform Connectivity (4)
67.5%
6.8
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
Data Exploration (2)
60%
6.0
Visualization
70%
7.0
Interactive Data Analysis
50%
5.0
Data Preparation (4)
57.5%
5.8
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
60%
6.0
Data Encryption
30%
3.0
Built-in Processors
60%
6.0
Platform Data Modeling (4)
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
Model Deployment (2)
55%
5.5
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.
eViews is used as an alternative statistical modelling package as it is more user friendly, less scripted and has many more quick and easy data evaluation elements to it, however does not contain the flexibility and breadth of scripting and output options as widely supported as R does. eViews is mainly an academic tool and while it has a lot of flexibility to use and support is not as comprehensive as the user support channels simply aren't there.
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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