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, SAP, RapidMiner and others in Predictive Analytics."The most valuable feature is the predictive capability in marketing use cases."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"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."
"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."
"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."
"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."
"RapidMiner for Windows is an excellent graphical tool for data science."
"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."
"Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."
"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."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"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 all users have access to all of the deep learning models, and that they can be used easily."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"Improve the online data services."
"I think that they should make deep learning models easier."
"The price of this solution should be improved."
Earn 20 points
IBM Predictive Analytics is ranked 22nd in Predictive Analytics while RapidMiner is ranked 3rd in Predictive Analytics with 20 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 "A no-code tool that helps to build machine learning models ". IBM Predictive Analytics is most compared with , whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, 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.
