We performed a comparison between Apache Superset and Qlik Sense 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."
"Unique data visualizations created based on - among others - customer reviews and hands-on experience. Qlik is an experienced company in the Business Intelligence / Data visualization area, that doesn't necessarily mean it is the best solution, however, based on my personal experience it is much more complex than Power BI and Tableau as I've had some things to do with these two concurrent softwares."
"Some of the valuable areas of this solution include producing individual reports and closing the gap."
"The most valuable features of Qlik Sense are the integration and panel for reports. The integration is very fast even though we process a lot of information."
"The Nprinting is useful."
"Allowing the users to be able to take snapshots and create their own story without ever leaving the application is a very good feature."
"From siloed reports, we went to a centralized knowledge hub, combining cross-functional data, and helping decision-makers see the data as a whole, therefore making more informed decisions."
"Qlik Sense has helped us in getting all inventory details in real-time ready for our sales reps to order and fulfill our inventory based on demand."
"The product is reasonably priced."
"The platform's reporting feature needs enhancement."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"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 current visualization features feel incomplete compared to what's available with scripting tools."
"There is an inability to effectively manage (pre)caching (scheduling, assigning for respective user groups, etc), especially without community extensions or uour own development."
"Error handling is an area that needs to be improved."
"Ultra-customization: It needs no limits on which charts can have x amount of dimensions, y amount of measures, z amount of color expressions, etc."
"Qlik Sense should have a conversion tool which automatically converts QlikView to Qlik Sense, so customers can easily migrate between the products of Qlik."
"The scripts available in the solution are not great."
"The solution needs to make improvements to the licensing model. They need to make it more affordable at scale, and to make it more affordable for those companies at the low end of the market as well."
"They need to make security rules to access applications and data security easier and customizable."
Apache Superset is ranked 11th in Data Visualization with 4 reviews while Qlik Sense is ranked 2nd in Data Visualization with 114 reviews. Apache Superset is rated 8.0, while Qlik Sense is rated 8.6. 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 Qlik Sense writes "Customizable with good ROI and a quick learning curve". Apache Superset is most compared with Tableau, Splunk Enterprise Platform, Sisense, Sigma and Zoho Analytics, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Alteryx and IBM Cognos. See our Apache Superset vs. Qlik Sense report.
See our list of best Data Visualization vendors.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.