We performed a comparison between ibi WebFOCUS and RapidMiner based on real PeerSpot user reviews.
Find out in this report how the two Predictive Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I would rate the scalability a ten out of ten. It's highly scalable and can handle significant data volumes."
"The solution can read and write 500 different types of outputs."
"It stands out for its ability to work across different platforms, support mainframe data, offer cloud integration, automate report scheduling, and provide a robust scripting language."
"The most valuable feature is building ad hoc reports."
"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 best part of RapidMiner is efficiency."
"RapidMiner is very easy to use."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The solution is stable."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"The most valuable features are the Binary classification and Auto Model."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The challenge lies not in what the tool can do but in how you use it and understand the data."
"The solution can be improved by adding more automated options for reporting."
"When it comes to customer support, we don't always reach the right person. Sometimes, we get junior-level reps who aren't as knowledgeable as we are."
"If there were to be any improvements right now, their documentation needs to get in sync with their product."
"I would appreciate improvements in automation and customization options to further streamline processes."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"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 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."
"In the Mexican or Latin American market, it's kind of pricey."
"The price of this solution should be improved."
ibi WebFOCUS is ranked 6th in Predictive Analytics with 18 reviews while RapidMiner is ranked 2nd in Predictive Analytics with 20 reviews. ibi WebFOCUS is rated 8.8, while RapidMiner is rated 8.6. The top reviewer of ibi WebFOCUS writes "A flexible mainframe product with unique file features and a rock solid scheduling feature". On the other hand, the top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". ibi WebFOCUS is most compared with Microsoft Power BI, Tableau, SAP BusinessObjects Business Intelligence Platform, Alteryx and Databricks, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Azure Machine Learning Studio. See our RapidMiner vs. ibi WebFOCUS report.
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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.
