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IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.
SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.
IBM SPSS Modeler is ranked 7th in Data Science Platforms with 5 reviews while SAS Visual Data Mining and Machine Learning is ranked 25th in Data Science Platforms. IBM SPSS Modeler is rated 8.4, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". On the other hand, IBM SPSS Modeler is most compared with IBM Watson Studio, KNIME, IBM SPSS Statistics, Alteryx and Microsoft BI, whereas SAS Visual Data Mining and Machine Learning is most compared with SAS Visual Analytics, SAS Enterprise Miner, Microsoft Azure Machine Learning Studio and WPS Analytics.
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