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 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 no-code interface is the most valuable as it allows us to operate without constant support from the data engineering team, fostering a self-service environment."
"It is a good visual solution tool in an open-source category."
"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."
"I use Visual Analytics for enterprise reporting."
"Simplifies report designs and quickly displays tables and graphs."
"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."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"It's relatively simple to create basic dashboards and reports."
"Great for handling complex data models."
"The speed to display charts and react to users' choices is great."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"The platform's reporting feature needs enhancement."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"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."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The licensing ends up being more expensive than other options."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"I haven't come across any missing features."
"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."
"The solution is a little weak at the front end."
Apache Superset is ranked 10th in Data Visualization with 4 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. Apache Superset is rated 8.0, while SAS Visual Analytics is rated 8.2. 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 Qlik Sense, Tableau, 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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