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.
WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.
SAS Visual Data Mining and Machine Learning is ranked 25th in Data Science Platforms while WPS Analytics is ranked 26th in Data Science Platforms. SAS Visual Data Mining and Machine Learning is rated 0.0, while WPS Analytics is rated 0.0. On the other hand, SAS Visual Data Mining and Machine Learning is most compared with SAS Enterprise Miner, SAS Visual Analytics, Microsoft Azure Machine Learning Studio, Alteryx and KNIME, whereas WPS Analytics is most compared with SAS Visual Analytics, Alteryx, RapidMiner, Databricks and Dataiku Data Science Studio.
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