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 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."
"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."
"The system's ability to take a look at data, segment it and then use that data very differently."
"Stability-wise, it is a great tool."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"It has a lot of data connectors, which is extremely helpful."
"Watson Studio is very stable."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"RapidMiner is very easy to use."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"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 for Windows is an excellent graphical tool for data science."
"The most valuable features are the Binary classification and Auto Model."
"The main challenge lies in visibility and ease of use."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"We would like to see it more web-based with more functionality."
"I want IBM's technical support team to provide more specific answers to queries."
"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."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"So a better user interface could be very helpful"
"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."
"The price of this solution should be improved."
"It would be helpful to have some tutorials on communicating with Python."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"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 like to see more integration capabilities."
"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."
"Improve the online data services."
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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We monitor all Data Science Platforms 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.
