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.
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OpenText Magellan
Score 9.0 out of 10
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OpenText Magellan Analytics Suite leverages a comprehensive set of data analytics software to identify patterns, relationships and trends through data visualizations and interactive dashboards.
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Pricing
Microsoft R Open / Revolution R Enterprise
OpenText Magellan
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft R Open / Revolution R Enterprise
OpenText Magellan
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Microsoft R Open / Revolution R Enterprise
OpenText Magellan
Features
Microsoft R Open / Revolution R Enterprise
OpenText Magellan
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
5.3
3 Ratings
44% below category average
OpenText Magellan
-
Ratings
Connect to Multiple Data Sources
6.13 Ratings
00 Ratings
Extend Existing Data Sources
6.03 Ratings
00 Ratings
Automatic Data Format Detection
6.03 Ratings
00 Ratings
MDM Integration
3.01 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
7.0
3 Ratings
19% below category average
OpenText Magellan
-
Ratings
Visualization
7.03 Ratings
00 Ratings
Interactive Data Analysis
7.03 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
4.8
3 Ratings
52% below category average
OpenText Magellan
-
Ratings
Interactive Data Cleaning and Enrichment
5.13 Ratings
00 Ratings
Data Transformations
5.03 Ratings
00 Ratings
Data Encryption
3.01 Ratings
00 Ratings
Built-in Processors
6.03 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
6.0
3 Ratings
33% below category average
OpenText Magellan
-
Ratings
Multiple Model Development Languages and Tools
5.03 Ratings
00 Ratings
Automated Machine Learning
5.02 Ratings
00 Ratings
Single platform for multiple model development
8.03 Ratings
00 Ratings
Self-Service Model Delivery
6.03 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
6.5
2 Ratings
26% below category average
OpenText Magellan
-
Ratings
Flexible Model Publishing Options
6.02 Ratings
00 Ratings
Security, Governance, and Cost Controls
6.92 Ratings
00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
-
Ratings
OpenText Magellan
7.0
2 Ratings
16% below category average
Customizable dashboards
00 Ratings
7.02 Ratings
Report Formatting Templates
00 Ratings
7.01 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
-
Ratings
OpenText Magellan
8.3
3 Ratings
3% above category average
Drill-down analysis
00 Ratings
8.03 Ratings
Formatting capabilities
00 Ratings
8.03 Ratings
Integration with R or other statistical packages
00 Ratings
9.01 Ratings
Report sharing and collaboration
00 Ratings
8.02 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
-
Ratings
OpenText Magellan
8.3
2 Ratings
1% above category average
Publish to Web
00 Ratings
8.02 Ratings
Publish to PDF
00 Ratings
8.02 Ratings
Report Versioning
00 Ratings
9.02 Ratings
Report Delivery Scheduling
00 Ratings
8.02 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
If you do not have a large budget and are a large organization, I would steer clear of Actuate. If you are looking to do very complex washboarding, I would not use them. Your developers have to be very skilled to work with this. Plan to bring in consultants if necessary to help your process. Adhoc reporting is weak. If your pricing is user based and you expand, this could be very expensive.
In general, Revolution Analytics brings a lot of value to the organization. The renewal decision would be based on return on investment in terms of quantified actionable insights that are getting generated against the cost of the product. Additionally, market brand of the tool and reputation risk in terms of possible acquisition and its impact to overall organizational analytic strategy would be considered as well.
I am no longer working for the company that was using Actuate but I believe they would continue to use it because the stitching costs would be to high. It would require a complete rewrite of the reports and the never version of Actuate (BIRT) even required an almost complete report rewrite
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.
It is quite intuitive to use. It is fit specifically for doing sentiment, emotion, and intention analysis as well as text classification and text summarization. I would have given 10 if it is fit for the purpose of doing image processing and analysis as well. There is a huge market to analyze video and image data.
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.
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.
It is vastly superior to these in many ways, for complex reporting it is a much more sophisticated solution. Visualizations are very good. Javascript extensibility is very powerful, others don't support this or as well. Pentaho and MS are both OLAP oriented. Pentaho is moving more toward big data, which was not our primary focus. Others are stuck in the Crystal Reports Band metaphor.
Actuate can handle 50 to 60 sub reports inside a report very well.
Dynamically creating the datasource, chart, graph, reports are the main advantages. We can do any level of drilling, and can create a performance matrix dashboard efficiently.