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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.
IBM SPSS Statistics is ranked 5th in Data Science Platforms with 13 reviews while WPS Analytics is ranked 26th in Data Science Platforms. IBM SPSS Statistics is rated 8.2, while WPS Analytics is rated 0.0. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka, Alteryx, TIBCO Statistica and Microsoft Azure Machine Learning Studio, whereas WPS Analytics is most compared with SAS Visual Analytics, Alteryx, SAS Visual Data Mining and Machine Learning and Databricks.
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