We performed a comparison between IBM SPSS Modeler and SAP Predictive Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"Compared to other tools, the product works much easier to analyze data without coding."
"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."
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."
"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."
"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."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"The most valuable features are the analytics and reporting."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."
"C&DS will not meet our scalability needs."
"The time series should be improved."
"The challenge for the very technical data scientists: It is constraining for them."
"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."
"Customer support is hard to contact."
"This solution works for acquired data but not live, real-time data."
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IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while SAP Predictive Analytics is ranked 24th in Data Science Platforms. IBM SPSS Modeler is rated 8.0, while SAP Predictive Analytics is rated 8.6. 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 SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx, whereas SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, Domino Data Science Platform, KNIME and Alteryx.
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