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."Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."
"We have been able to do some predictive modeling with it"
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"Automation is great and this product is very organized."
"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."
"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."
"Automated modelling, classification, or clustering are very useful."
"It's a very organized product. It's easy to use."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"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 documentation for this solution is very good, where each operator is explained with how to use it."
"The best part of RapidMiner is efficiency."
"The data science, collaboration, and IDN are very, very strong."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"C&DS will not meet our scalability needs."
"Requires more development."
"Initial setup of the software was complex, because of our own problems within the government."
"Dimension reduction should be classified separately."
"Unstructured data is not appropriate for SPSS Modeler."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"We have run into a few problems doing some entity matching/analytics."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"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."
"I would like to see more integration capabilities."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"I would appreciate improvements in automation and customization options to further streamline processes."
"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."
"I think that they should make deep learning models easier."
IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while RapidMiner is ranked 7th in Data Science Platforms with 19 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 "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, IBM SPSS Statistics, Alteryx and SAS Visual Analytics, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and DataRobot. See our IBM SPSS Modeler vs. RapidMiner report.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
