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."It is a good visual solution tool in an open-source category."
"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."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"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."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"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 flexibility of the configuration is valuable to me."
"It's a stable, reliable product."
"It provided the capability to visualize a bunch of data in an organized way."
"Data handling is one of the best features of SAS Visual Analytics."
"The platform's reporting feature needs enhancement."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"The installation process can be a bit complex."
"It is not as mature as competitors such as Tableau and QlikView."
"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."
"A bit more flexibility in the temperatization will be helpful."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The solution should improve its graphics."
"SAS Visual Analytics could be more user-friendly."
"The product is expensive and needs the integration of more languages."
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 and Sisense, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio. See our Apache Superset vs. SAS Visual Analytics report.
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