We performed a comparison between RapidMiner and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The data science, collaboration, and IDN are very, very strong."
"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."
"RapidMiner for Windows is an excellent graphical tool for data science."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"The solution is stable."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The most valuable feature is the decision tree creation."
"he solution is scalable."
"Good data management and analytics."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The technical support is very good."
"The solution is able to handle quite large amounts of data beautifully."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"I would like to see more integration capabilities."
"RapidMiner can improve deep learning by enhancing the features."
"I would appreciate improvements in automation and customization options to further streamline processes."
"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."
"The price of this solution should be improved."
"If they could include video tutorials, people would find that quite helpful."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"The user interface of the solution needs improvement. It needs to be more visual."
"The initial setup is challenging if doing it for the first time."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The visualization of the models is not very attractive, so the graphics should be improved."
"Virtualization could be much better."
"The product must provide better integration with cloud-native technologies."
"Technical support could be improved."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
RapidMiner is ranked 6th in Data Science Platforms with 19 reviews while SAS Enterprise Miner is ranked 16th in Data Science Platforms with 13 reviews. RapidMiner is rated 8.6, while SAS Enterprise Miner is rated 7.6. The top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". On the other hand, the top reviewer of SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and Anaconda, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, KNIME and SAS Analytics. See our RapidMiner vs. SAS Enterprise Miner report.
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