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."The system's ability to take a look at data, segment it and then use that data very differently."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"It is a stable, reliable product."
"It has greatly improved the performance because it is standardized across the company."
"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"It is a very stable and reliable solution."
"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."
"RapidMiner for Windows is an excellent graphical tool for data science."
"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."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"The solution is stable."
"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 best part of RapidMiner is efficiency."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"The solution's interface is very slow at times."
"The decision making in their decision making feature is less good than other options."
"I want IBM's technical support team to provide more specific answers to queries."
"We would like to see it more web-based with more functionality."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"I think maybe the support is an area where it lacks."
"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."
"I think that they should make deep learning models easier."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"Improve the online data services."
"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."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
IBM Watson Studio is ranked 11th in Data Science Platforms with 13 reviews while RapidMiner is ranked 7th in Data Science Platforms with 19 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 "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and Amazon Comprehend, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio and Tableau. See our IBM Watson Studio vs. RapidMiner report.
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