We performed a comparison between IBM SPSS Modeler and RapidMiner 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."It will scale up to anything we need."
"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."
"Compared to other tools, the product works much easier to analyze data without coding."
"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"We have full control of the data handling process."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"So far, the stability has been rock solid."
"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The most valuable features are the Binary classification and Auto Model."
"RapidMiner is very easy to use."
"RapidMiner for Windows is an excellent graphical tool for data science."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"The solution is stable."
"Dimension reduction should be classified separately."
"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
"The challenge for the very technical data scientists: It is constraining for them."
"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."
"The time series should be improved."
"The standard package (personal) is not supported for database connection."
"We have run into a few problems doing some entity matching/analytics."
"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."
"I would like to see more integration capabilities."
"I think that they should make deep learning models easier."
"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."
"If they could include video tutorials, people would find that quite helpful."
"I would appreciate improvements in automation and customization options to further streamline processes."
"It would be helpful to have some tutorials on communicating with Python."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while RapidMiner is ranked 6th in Data Science Platforms with 20 reviews. IBM SPSS Modeler is rated 8.0, while RapidMiner is rated 8.6. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". IBM SPSS Modeler is most compared with Microsoft Power BI, KNIME, IBM SPSS Statistics, Alteryx and SAS Visual Analytics, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and DataRobot. See our IBM SPSS Modeler vs. RapidMiner report.
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