Microsoft R Open / Revolution R Enterprise vs. OpenText Magellan

Revolution Analytics is a very compelling product for Big Data Analytics. It allows distributed computing over multiple hadoop nodes thus allowing HDFS to do its role cleanly i.e. cheap massive storage and it does good job of running algorithms using R or similar programming language on Hadoop. It would be definitely advantage for the organization who uses either R or SAS as their statistical model development tool as Rev-R support both the platforms. Overall, very positive experience with Rev-R.

It depends on extensibility, set-up, access & style. Actuate performs fairly well, but has performance issues because it sits on top of eclipse, which sits on top of Java. Extensibility usually comes at that price. Set-up is fairly straightforward and it can be secured.

Incentivized

• Parallel processing
• Integration with R
• Open-source

Incentivized

• Ability to connect to different kinds of sources, including web services, and customize those queries to the extend needed
• Provide tools to customize the look & feel of the reports as much as needed, even being able to choose different appearances for different outputs
• Allowing scripting in the reports extends the functionality available
• Allowing to embed reports without further licensing and maintaining all the functionality

Incentivized

• Very high learning curve

Incentivized

• Report rendering can take a long time for large reports (250,000+ pages) - we run these in batch over night
• The deployment of production code from development to test to production enviroments can be complex due to the number of components that must compile

Incentivized

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

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

Always there on the front and backend for us and the client.

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.

Incentivized

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.

• 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.

Incentivized

• 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.