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."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 solution can read and write 500 different types of outputs."
"I would rate the scalability a ten out of ten. It's highly scalable and can handle significant data volumes."
"The most valuable feature is building ad hoc reports."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"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."
"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 GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The most valuable features are the Binary classification and Auto Model."
"RapidMiner is very easy to use."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"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."
"The challenge lies not in what the tool can do but in how you use it and understand the data."
"In the Mexican or Latin American market, it's kind of pricey."
"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 would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"I would appreciate improvements in automation and customization options to further streamline processes."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"I think that they should make deep learning models easier."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"I would like to see more integration capabilities."
ibi WebFOCUS is ranked 6th in Predictive Analytics with 18 reviews while RapidMiner is ranked 2nd in Predictive Analytics with 19 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 "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". ibi WebFOCUS is most compared with Microsoft Power BI, Tableau, SAP BusinessObjects Business Intelligence Platform, Databricks and Alteryx, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, 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.
