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 solution is very easy to use."
"IBM Watson Studio consistently automates across channels."
"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."
"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."
"The scalability of IBM Watson Studio is great."
"It is a very stable and reliable solution."
"It is a stable, reliable product."
"The solution is stable."
"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."
"The best part of RapidMiner is efficiency."
"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."
"RapidMiner for Windows is an excellent graphical tool for data science."
"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."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"The solution's interface is very slow at times."
"I think maybe the support is an area where it lacks."
"The initial setup was complex."
"The decision making in their decision making feature is less good than other options."
"We would like to see it more web-based with more functionality."
"The main challenge lies in visibility and ease of use."
"I want IBM's technical support team to provide more specific answers to queries."
"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."
"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."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"If they could include video tutorials, people would find that quite helpful."
"RapidMiner can improve deep learning by enhancing the features."
"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."
IBM Watson Studio is ranked 10th 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 "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, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Amazon Comprehend, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku and Tableau. See our IBM Watson Studio vs. RapidMiner report.
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