We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"This solution is for large corporations because not everybody can afford it."
"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
Earn 20 points
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 Enterprise Miner is ranked 10th in Data Science Platforms with 10 reviews while WPS Analytics is ranked 26th in Data Science Platforms. SAS Enterprise Miner is rated 7.6, while WPS Analytics is rated 0.0. The top reviewer of SAS Enterprise Miner writes "Good GUI, an easy initial setup, and very flexible". On the other hand, SAS Enterprise Miner is most compared with IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, SAS Visual Analytics, RapidMiner and Amazon SageMaker, whereas WPS Analytics is most compared with SAS Visual Analytics, Alteryx, SAS Visual Data Mining and Machine Learning, RapidMiner and Databricks.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.