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."It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."
"It is very scalable for non-technical people."
"It's a very organized product. It's easy to use."
"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."
"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."
"We have been able to do some predictive modeling with it"
"It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler."
"The supervised models are valuable. It is also very organized and easy to use."
"The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"Unstructured data is not appropriate for SPSS Modeler."
"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."
"C&DS will not meet our scalability needs."
"Requires more development."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"I can say the solution is outdated."
"The platform's cloud version needs improvements."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"This solution works for acquired data but not live, real-time data."
Earn 20 points
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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