We performed a comparison between IBM Predictive Analytics and RapidMiner based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, RapidMiner, SAP and others in Predictive Analytics."The most valuable feature is the predictive capability in marketing use cases."
"The most valuable features are the Binary classification and Auto Model."
"The solution is stable."
"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."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The data science, collaboration, and IDN are very, very strong."
"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."
"Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."
"It would be helpful to have some tutorials on communicating with Python."
"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."
"The price of this solution should be improved."
"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 would like to see all users have access to all of the deep learning models, and that they can be used easily."
"If they could include video tutorials, people would find that quite helpful."
"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."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
Earn 20 points
IBM Predictive Analytics is ranked 22nd in Predictive Analytics while RapidMiner is ranked 2nd in Predictive Analytics with 19 reviews. IBM Predictive Analytics is rated 7.0, while RapidMiner is rated 8.6. The top reviewer of IBM Predictive Analytics writes "Good prediction capability for marketing purposes, although it needs to be more flexible". 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 Predictive Analytics is most compared with , whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and Microsoft Azure Machine Learning Studio.
See our list of best Predictive Analytics vendors.
We monitor all Predictive Analytics 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.
