We performed a comparison between Apache Superset and Sisense 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 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."
"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."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"A very simple setup: Easy to download, install, and updates are pain free."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"Ability to work with very large data sources without the limitations of Excel."
"Support is very responsive and clearly one of the strengths of Sisense. I have always received a fast response and the staff is very helpful."
"This solution is easy to learn how to use."
"Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"The platform's reporting feature needs enhancement."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"The solution's setup process could be easier."
"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."
"The administrative side of Sisense is a little cumbersome and confusing."
"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
Apache Superset is ranked 11th in Data Visualization with 4 reviews while Sisense is ranked 14th in Data Visualization with 39 reviews. Apache Superset is rated 8.0, while Sisense is rated 8.8. 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 Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Apache Superset is most compared with Qlik Sense, Tableau, Splunk Enterprise Platform, Sigma and Zoho Analytics, whereas Sisense is most compared with Microsoft Power BI, Tableau, Qlik Sense, Amazon QuickSight and QlikView. See our Apache Superset vs. Sisense report.
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