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."Stability is good."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"We have full control of the data handling process."
"It is a great product for running statistical analysis."
"It works fine. I have not had any stability issues; it is always up."
"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."
"It's a very organized product. It's easy to use."
"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."
"IBM Watson Studio consistently automates across channels."
"Watson Studio is very stable."
"Stability-wise, it is a great tool."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"The system's ability to take a look at data, segment it and then use that data very differently."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"The standard package (personal) is not supported for database connection."
"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."
"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."
"It would be good if IBM added help resources to the interface."
"It's not as user friendly as it could be."
"Customer support is hard to contact."
"I think mapping for geographic data would also be a really great thing to be able to use."
"The main challenge lies in visibility and ease of use."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"I want IBM's technical support team to provide more specific answers to queries."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"The decision making in their decision making feature is less good than other options."
"I think maybe the support is an area where it lacks."
"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."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
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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