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RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.
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.
RapidMiner is ranked 6th in Data Science Platforms with 6 reviews while SAS Visual Data Mining and Machine Learning is ranked 25th in Data Science Platforms. RapidMiner is rated 8.8, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of RapidMiner writes "Extensive features, Turbo Prep, Auto ML, good GUI and good stability". On the other hand, RapidMiner is most compared with KNIME, Alteryx, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and DataRobot, whereas SAS Visual Data Mining and Machine Learning is most compared with SAS Visual Analytics, SAS Enterprise Miner, Microsoft Azure Machine Learning Studio, WPS Analytics and IBM SPSS Modeler.
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