We performed a comparison between SAP Predictive Analytics and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The product is stable, reliable, and scalable."
"The flexibility of the configuration is valuable to me."
"I use Visual Analytics for enterprise reporting."
"The technical support services are good."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"It's a stable, reliable product."
"This solution works for acquired data but not live, real-time data."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"I haven't come across any missing features."
"The solution should improve its graphics."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"The product is expensive and needs the integration of more languages."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
Earn 20 points
SAP Predictive Analytics is ranked 24th in Data Science Platforms while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. SAP Predictive Analytics is rated 8.6, while SAS Visual Analytics is rated 8.0. The top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, KNIME, Domino Data Science Platform and IBM SPSS Modeler, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio.
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