We performed a comparison between IBM SPSS Modeler and SAP Predictive Analytics 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."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."
"It scales. I have not run into any challenges where it will not perform."
"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."
"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"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."
"We have been able to do some predictive modeling with it"
"The supervised models are valuable. It is also very organized and easy to use."
"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."
"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."
"The platform's cloud version needs improvements."
"It would be good if IBM added help resources to the interface."
"Dimension reduction should be classified separately."
"The challenge for the very technical data scientists: It is constraining for them."
"I think mapping for geographic data would also be a really great thing to be able to use."
"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."
"It is not integrated with Qlik, Tableau, and Power BI."
"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 Microsoft Power BI, KNIME, IBM SPSS Statistics, RapidMiner and SAS Analytics, whereas SAP Predictive Analytics is most compared with IBM Watson Studio, Domino Data Science Platform, Microsoft Azure Machine Learning Studio and Alteryx. See our IBM SPSS Modeler vs. SAP Predictive Analytics report.
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