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."
"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."
"It integrates well with SAS, making it simple and quick for developers."
"The flexibility of the configuration is valuable to me."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"Simplifies report designs and quickly displays tables and graphs."
"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."
"We've found the product to be stable and reliable."
"It provided the capability to visualize a bunch of data in an organized way."
"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."
"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."
"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."
"The licensing ends up being more expensive than other options."
"I haven't come across any missing features."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The solution is a little weak at the front end."
"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."
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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