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."Watson Studio is very stable."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"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."
"It has greatly improved the performance because it is standardized across the company."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"IBM Watson Studio consistently automates across channels."
"It has a lot of data connectors, which is extremely helpful."
"The system's ability to take a look at data, segment it and then use that data very differently."
"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."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"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."
"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."
"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 documentation for this solution is very good, where each operator is explained with how to use it."
"RapidMiner for Windows is an excellent graphical tool for data science."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"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 solution's interface is very slow at times."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"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."
"I want IBM's technical support team to provide more specific answers to queries."
"The main challenge lies in visibility and ease of use."
"I think that they should make deep learning models easier."
"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."
"The price of this solution should be improved."
"If they could include video tutorials, people would find that quite helpful."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"It would be helpful to have some tutorials on communicating with Python."
"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."
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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