We performed a comparison between IBM Watson Studio and RapidMiner based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It has a lot of data connectors, which is extremely helpful."
"It is a stable, reliable product."
"IBM Watson Studio consistently automates across channels."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"The solution is very easy to use."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"It is a very stable and reliable solution."
"It has greatly improved the performance because it is standardized across the company."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"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."
"RapidMiner is very easy to use."
"RapidMiner for Windows is an excellent graphical tool for data science."
"The most valuable features are the Binary classification and Auto Model."
"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."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The solution's interface is very slow at times."
"The initial setup was complex."
"I think maybe the support is an area where it lacks."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"The decision making in their decision making feature is less good than other options."
"So a better user interface could be very helpful"
"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."
"In the Mexican or Latin American market, it's kind of pricey."
"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 appreciate improvements in automation and customization options to further streamline processes."
"The price of this solution should be improved."
"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."
"I think that they should make deep learning models easier."
"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."
IBM Watson Studio is ranked 11th in Data Science Platforms with 13 reviews while RapidMiner is ranked 6th in Data Science Platforms with 20 reviews. IBM Watson Studio is rated 8.2, while RapidMiner is rated 8.6. The top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". On the other hand, the top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Amazon Comprehend, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Azure Machine Learning Studio. See our IBM Watson Studio vs. RapidMiner report.
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