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."Automated modelling, classification, or clustering are very useful."
"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."
"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 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."
"It works fine. I have not had any stability issues; it is always up."
"We are using it either for workforce deployment or to improve our operations."
"Watson Studio is very stable."
"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."
"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 is a stable, reliable product."
"The system's ability to take a look at data, segment it and then use that data very differently."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"The scalability of IBM Watson Studio is great."
"The platform's cloud version needs improvements."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"It's not as user friendly as it could be."
"I think mapping for geographic data would also be a really great thing to be able to use."
"The standard package (personal) is not supported for database connection."
"Unstructured data is not appropriate for SPSS Modeler."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"Initial setup of the software was complex, because of our own problems within the government."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"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."
"I want IBM's technical support team to provide more specific answers to queries."
"So a better user interface could be very helpful"
"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."
"The initial setup was complex."
"The main challenge lies in visibility and ease of use."
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 SAS Analytics, whereas IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and H2O.ai. See our IBM SPSS Modeler vs. IBM Watson Studio report.
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