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."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."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"We have been able to do some predictive modeling with it"
"Stability is good."
"We are using it either for workforce deployment or to improve our operations."
"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."
"Very good data aggregation."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"Watson Studio is very stable."
"The solution is very 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."
"The system's ability to take a look at data, segment it and then use that data very differently."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"It is a very stable and reliable solution."
"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."
"Stability-wise, it is a great tool."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"The challenge for the very technical data scientists: It is constraining for them."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"Initial setup of the software was complex, because of our own problems within the government."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"I can say the solution is outdated."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"The platform's cloud version needs improvements."
"The decision making in their decision making feature is less good than other options."
"I want IBM's technical support team to provide more specific answers to queries."
"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."
"The main challenge lies in visibility and ease of use."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"We would like to see it more web-based with more functionality."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"The initial setup was complex."
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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