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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

"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."
"When you click on any chart, you can apply the filter without any effort."
"Apache Superset allows us to set up alerts; for instance, if the failure rate exceeds 1.5%, we receive an alert to address the issue with our integration partners."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"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 main benefit I have seen from working with Apache Superset so far is the speed from discovery and SQL to making charts and dashboards, along with its customizability."
"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."
"This tool not only allows for consumption of the data in a visual way, but also allows the user to modify the question to get new answers."
"The overall ability to build quick wins with simple data to drive insights."
"Qlik Sense helps us increase our organization's customer relationships and brings in more projects."
"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 drag-and-drop dashboard builder is an intuitive interface for building dashboards from source reports."
"The time it takes to deliver a dashboard is real quick."
"Qlik Sense is very stable. I would rate the stability a ten out of ten. Even for rare issues, we receive good support from Qlik. It's a very stable solution."
"It has high performance when interacting with dashboards and reports."
 

Cons

"With Apache Superset, we had some problems with the permissions when we had too many users."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"The platform's reporting feature needs enhancement."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"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."
"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."
"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."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
"Dates. My goodness, working with dates in set analysis can be a nightmare! Much room for improvement."
"Better searching capabilities would be a nice addition."
"Reload time is a limit since everyone wants real-time data."
"They should generally focus more on the evolution of current capabilities rather than doing everything but only at 50% effectiveness."
"The SaaS offering is being enriched quickly in order to attract new customers to that space and encouraging existing customers to make the switch. The Enterprise solution is therefore lagging behind SaaS in features."
"More freedom for custom visuals and dashboard creation would be an improvement."
"It would be nice to have more native features from QlikView built into Qlik Sense."
 

Pricing and Cost Advice

"Apache Superset is open-source and free."
"The price of Apache Superset is less than some of its competitors."
"Apache Superset has a three-year licensing model."
"Apache Superset is an open-source solution."
"Qlik Sense and its pricing model can follow any scalability."
"It is a little expensive for the Italian market. Normally, Qlik Sense has two types and costs. The medium cost is around 700 euros per year."
"The product is expensive compared to one of its competitors."
"The license mechanism of Qlik is quite complicated and not exchangeable. Such as 2016, they charge licenses by token, 1500$ for a token / 1 user. 2018: they change to 2 kinds of licenses: professional 1500$ / user, analyzer 800$ / user. 2019: they support subscription with 70$ Monthly for professional, 40$ monthly for analyzers, but for those you’re using perpetual licenses, they don't support acquiring more subscription licenses. The maintenance fee yearly are also high, 20% of the perpetual license."
"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."
"The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."
"The solution is worth it."
"Licensing is quite good, easy, but slightly expensive."
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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: December 2025.
881,707 professionals have used our research since 2012.