RapidMiner vs ibi WebFOCUS comparison

"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."

"The most valuable feature is building ad hoc reports."

"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."

"RapidMiner is very easy to use."

"The most valuable feature is what the product sets out to do, which is extracting information and data."

"The solution is stable."

"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 solution is very intuitive and powerful."

"The documentation for this solution is very good, where each operator is explained with how to use it."

"RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."

"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 solution can be improved by adding more automated options for reporting."

"The challenge lies not in what the tool can do but in how you use it and understand the data."

"I would like to see all users have access to all of the deep learning models, and that they can be used easily."

"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."

"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."

"I would appreciate improvements in automation and customization options to further streamline processes."

"It would be helpful to have some tutorials on communicating with Python."

"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."

"The product must provide data-cleaning features."

"I would rate the pricing a five out of ten, with ten being expensive."

"Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."

"For the university, the cost of the solution is free for the students and teachers."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."

"I used an educational license for this solution, which is available free of charge."