We performed a comparison between Apache Superset and SAS Visual Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution supports a rich set of charts and enables users to create their own dashboards."
"The most valuable feature of Apache Superset is the easy way to configure dashboards as reports or analyses and it's easy to use and intuitive. Users do not need a lot of training to use the solution."
"It is a good visual solution tool in an open-source category."
"Great for handling complex data models."
"The technical support services are 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."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"Simplifies report designs and quickly displays tables and graphs."
"Data handling is one of the best features of SAS Visual Analytics."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"The platform's reporting feature needs enhancement."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The solution is a little weak at the front end."
"A bit more flexibility in the temperatization will be helpful."
"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."
"I haven't come across any missing features."
"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."
"The product is expensive and needs the integration of more languages."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
Apache Superset is ranked 11th in Data Visualization with 3 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. Apache Superset is rated 8.0, while SAS Visual Analytics is rated 8.0. The top reviewer of Apache Superset writes "Has some great features and supports a rich set of charts". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Apache Superset is most compared with Tableau, Qlik Sense, Splunk Enterprise Platform, Sisense and Yellowfin, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku. See our Apache Superset vs. SAS Visual Analytics report.
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