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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

"It's very easy, reliable, and trustable because it's an Apache open-source product."
"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."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"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."
"When you click on any chart, you can apply the filter without any effort."
"It offers good control. Loading the logs is also a good thing."
"Allowing the users to be able to take snapshots and create their own story without ever leaving the application is a very good feature."
"The most valuable feature is flexibility."
"The drag-and-drop dashboard builder is an intuitive interface for building dashboards from source reports."
"With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application."
"On the fly questions can be answered with the "Qlik" of a button and drive forward discussions about policy, mission, and goals."
"I would rate it more than nine out of ten."
"Set analysis is great for its power user capabilities such as performing an IF on an aggregated column. The ability to create custom coloring expressions based on values is also a good idea although not as easy as I wished it was."
 

Cons

"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"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."
"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."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"Performing data transformations required a lot of programming, which is something that should be made easier."
"They need to keep it as simple as possible but include as much advanced functionality as possible by positioning all the objects on the page, changing colors for all the objects, improving sheets actions, etc."
"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."
"Report generation without the need for NPrinting, which has limited capabilities anyway, would be an improvement."
"One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows."
"I wish the product had the ability for slightly more customization. The out-of-the box charts and visualizations are fantastic, but I want to be able to tweak it without having to add outside extensions and widgets."
"More focus needs to be on data streaming/real-time data reporting."
"In my opinion, collaborative development of the Qlik Apps is a bit tricky and difficult in the Qlik Sense Cloud."
 

Pricing and Cost Advice

"Apache Superset is an open-source solution."
"Apache Superset has a three-year licensing model."
"Apache Superset is open-source and free."
"The price of Apache Superset is less than some of its competitors."
"Costs are a little high on the license/token side. However, if you look at the TCO, it is not too bad, particularly against Power BI."
"Licensing: Review the named model and move towards a usage model (e.g., cores, memory, computers, API calls, etc.)."
"Ultimately, the cost is low, and it implements fast. The limiting factor is how quickly your staff can keep up."
"Qlik Sense and its pricing model can follow any scalability."
"You need to pay 5,000 Norwegian kroner per user. Microsoft Power BI is slightly more expensive than Qlik Sense."
"The product is expensive compared to one of its competitors."
"You will spend more time on educating your staff than licensing the product."
"The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."
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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 do you like most about Qlik Sense?
The most valuable features of Qlik Sense are its speed and seamless development of web technologies.
 

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.
881,515 professionals have used our research since 2012.