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Apache Superset vs Qlik Sense comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Apache Superset
Ranking in Data Visualization
2nd
Average Rating
8.2
Reviews Sentiment
5.2
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Qlik Sense
Ranking in Data Visualization
4th
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
125
Ranking in other categories
Embedded BI (2nd), AI Data Analysis (16th)
 

Mindshare comparison

As of February 2026, in the Data Visualization category, the mindshare of Apache Superset is 4.9%, down from 10.6% compared to the previous year. The mindshare of Qlik Sense is 5.3%, down from 8.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Apache Superset4.9%
Qlik Sense5.3%
Other89.8%
Data Visualization
 

Featured Reviews

MP
Founder & CEO at Lanzar
Have saved significant operational costs and streamlined alert-driven analytics with customizable dashboards
I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators. We work with a Role-Based Access Control feature in the product. I assess this feature as good; they have permissions which are in more plain English, but there is a little bit of convenience missed out because if I have to create a super user apart from admin, I need to add all the permissions manually.
SW
Solution Architect at Predoole Analytics
Unlocks actionable insights through user-friendly analysis features
The self-service capabilities that Qlik Sense offers are significant. They offer natural language processing, allowing users to ask questions in layman language, and Qlik Sense will create charts and narratives automatically. Users can access any dashboard developed in Qlik Sense from familiar portals such as Okta or other company portals through embedding features. The integration with chatbots, particularly Microsoft Teams, allows users to access dashboards and ask questions directly within Teams. The collaboration feature enables users to share analysis by taking snapshots and tagging team members within the Qlik Sense interface, eliminating the need for lengthy emails or screenshots. The storytelling feature allows users to create presentations directly in Qlik Sense using dashboard analysis, making it easier to answer questions during meetings. The subscription feature enables users to receive charts and sheets via email instead of navigating to the dashboard, facilitating monitoring purposes. Qlik Sense offers alerting capabilities where users can set thresholds for KPIs and receive notifications when these thresholds are reached. The platform also includes AI/ML features for predictive modeling through a no-code component, allowing business users to create and deploy AutoML models without depending on data scientists. The Qlik Answers component, featuring generative AI capability, enables users to get answers from unstructured data including Excel, HTML documents, or Microsoft Word documents by creating a knowledge base. The user-friendly interface operates on a drag-and-drop approach, with Qlik Sense suggesting appropriate charts based on selected dimensions and measures. The associative engine capabilities allow data association between tables, implementing selections across related tables. The platform uses a color-coding system (white, gray, and dark gray) to show related, excluded, and unrelated data selections, providing insights beyond traditional BI tools.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"Apache Superset is a lightweight reporting tool with a lot of functions and flexibility, where you can build the dataset, build charts, and dashboards from the user interface."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"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."
"I see savings from using Apache Superset in both time and money, particularly with the cost reduced by roughly 99% compared to Tableau where we previously paid almost 50k annually."
"The benefits I have seen from using Apache Superset for the business team are that they have been able to look at the numbers easily, log into the portal, and look at different dashboards, which are at different granularities."
"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."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"The ability to access data from multiple sources in one application. This has been invaluable."
"Placing buttons on my sheets creates a unique user experience and clears up clutter at the same time."
"Qlik Sense provides better visualization."
"All the visualizations have been so valuable."
"The tool's data analysis is useful to help out the teams across the globe and to track their work."
"Qlik has a powerful load script that uses an enhanced SQL language which is excellent for loading and transforming the data."
"It is a great platform for third party extensions, has an open API, and there are no black boxes."
"You can build a very nice dashboard and/or report very quickly."
 

Cons

"I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Dark mode would be the main thing I would like; it does not really work because the chart text cannot be white in a dark mode setup, so it is not feasible."
"One potential area for improvement in Apache Superset is that it must be installed in a dedicated Docker image, which could be a limitation since the goal is to embed Apache Superset in a product offering."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"One area of improvement is that it doesn't offer an API for accessing processed data stored in the QED files."
"I would like to see more types of visual elements and better configuration options for additional flexibility when developing charts."
"I am not really a fan of the set analysis. It's its own language that doesn't quite make a whole lot of sense to me at this point. I wish it were more intuitive."
"Even though a huge set of learning material is available, anyone starting his/her journey on learning the software doesn't even know where to start it. The so-called Continous Classroom service is not cheap, but there are many free tutorials, they are not sorted or enlisted adequately though."
"The on-demand report generation button in Qlik Sense currently doesn't work if NPrinting requires Okta verification, which our company uses."
"Right now, it is complex and you have to understand the data model prior to analyzing it, so basically I would like to see an integration with Excel in the future."
"We need more types of visualizations."
"From the initial setup of the product we had some struggles getting connections to some of our databases to function, this indicated that some of the data extract drivers can be improved and addition of some of the older database engines need to be added in Qlik Sense."
 

Pricing and Cost Advice

"Apache Superset has a three-year licensing model."
"The price of Apache Superset is less than some of its competitors."
"Apache Superset is open-source and free."
"Apache Superset is an open-source solution."
"Licensing is quite good, easy, but slightly expensive."
"You need to pay 5,000 Norwegian kroner per user. Microsoft Power BI is slightly more expensive than Qlik Sense."
"Qlik Sense and its pricing model can follow any scalability."
"Currently, our ROI is clear and concise decision-making. This timely addition will easily add $15 million to our bottom line in 2017."
"I'm not able to reveal the licensing cost for Qlik Sense, but because it was a huge deal, the cost was less than the usual cost. The license wasn't that costly. It was the infrastructure that was very costly."
"Ultimately, the cost is low, and it implements fast. The limiting factor is how quickly your staff can keep up."
"QlikSense offers a Hybrid environment architecture, which is very cost effective based on where the enterprise data resides."
"Start small with tokens. You can always buy more."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
10%
Government
8%
Comms Service Provider
7%
Financial Services Firm
18%
Manufacturing Company
10%
Computer Software Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise5
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise40
Large Enterprise87
 

Questions from the Community

What do you like most about Apache Superset?
It is a good visual solution tool in an open-source category.
What needs improvement with Apache Superset?
I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators. We work with a Role-Ba...
Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
What is your experience regarding pricing and costs for Qlik Sense?
It is not about performance. It is just about how expensive it is to implement.
 

Also Known As

No data available
QlikSense, Qlik Analytics Platform
 

Overview

 

Sample Customers

Information Not Available
Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo
Find out what your peers are saying about Apache Superset vs. Qlik Sense and other solutions. Updated: February 2026.
881,733 professionals have used our research since 2012.