We performed a comparison between IBM SPSS Modeler and IBM Watson Studio 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."A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."
"It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."
"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"It's a very organized product. It's easy to use."
"The quality is very good."
"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."
"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."
"The scalability of IBM Watson Studio is great."
"The system's ability to take a look at data, segment it and then use that data very differently."
"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."
"It is a very stable and reliable solution."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"The solution is very easy to use."
"I would like see more programming languages added, like MATLAB. That would be better."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"Dimension reduction should be classified separately."
"It's not as user friendly as it could be."
"Customer support is hard to contact."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"The forecasting could be a bit easier."
"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."
"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."
"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 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."
"The solution's interface is very slow at times."
"I want IBM's technical support team to provide more specific answers to queries."
"The main challenge lies in visibility and ease of use."
"We would like to see it more web-based with more functionality."
IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while IBM Watson Studio is ranked 10th in Data Science Platforms with 13 reviews. IBM SPSS Modeler is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". IBM SPSS Modeler is most compared with Microsoft Power BI, KNIME, IBM SPSS Statistics, RapidMiner and Dataiku, whereas IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Cloudera Data Science Workbench. See our IBM SPSS Modeler vs. IBM Watson Studio report.
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