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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
3rd
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 (13th)
 

Mindshare comparison

As of May 2026, in the Data Visualization category, the mindshare of Apache Superset is 3.4%, down from 10.9% compared to the previous year. The mindshare of Qlik Sense is 5.2%, down from 8.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Apache Superset3.4%
Qlik Sense5.2%
Other91.4%
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."
"It is a good visual solution tool in an open-source category."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"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."
"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."
"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."
"Set analysis is a powerful scripting functionality which calculates complex queries into simple terms."
"We have deployed Qlik Sense to many of our internal stakeholders and they simply love it, due to the simplicity and ease of use."
"The most valuable feature is that all pieces work together as a platform that allows you to easily provide BI solutions."
"Qlik DataMarket"
"The GeoAnalytics paints such a clear picture. It provides a visual of our patient volume, giving us opportunities to see how we are trending in the surrounding cities, and making us more aware of locations that we need to focus more on."
"The product is reasonably priced."
"On the fly questions can be answered with the "Qlik" of a button and drive forward discussions about policy, mission, and goals."
"The Nprinting is useful."
 

Cons

"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"The platform's reporting feature needs enhancement."
"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."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"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."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"Customer service has to improve and technical support is at a low level."
"Integrated maps should become part of the Qlik Sense, as opposed to buying an additional module just to power the BI, which has it built-in natively within the application."
"It is easy to scale and buy a license, however, the solution is very memory intensive. More users and more data can lead to degraded performance and longer processing times to run reports."
"It needs continued improvement on its visualizations and content customization."
"Error handling is an area that needs to be improved."
"The next version should include more standard integrations."
"The on-demand report generation button in Qlik Sense currently doesn't work if NPrinting requires Okta verification, which our company uses."
"The management console appearance needs improvement to its look."
 

Pricing and Cost Advice

"The price of Apache Superset is less than some of its competitors."
"Apache Superset has a three-year licensing model."
"Apache Superset is open-source and free."
"Apache Superset is an open-source solution."
"The costs can initially become quite high. Make sure you have a clear understanding of who will truly use the product as opposed to someone that will simply receive the end report."
"Currently, our ROI is clear and concise decision-making. This timely addition will easily add $15 million to our bottom line in 2017."
"Qlik Sense is pretty good in terms of price."
"You will spend more time on educating your staff than licensing the product."
"Qlik Sense pricing and licensing is like that of QlikView. It's on the high side for a small company, but it’s competitive among its peers. Use of licenses (referred to as tokens) is a bit confusing. There is a login access pass for infrequent or anonymous access."
"Start small with tokens. You can always buy more."
"The new licensing model is much better."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
8%
Government
7%
Comms Service Provider
7%
Financial Services Firm
20%
Manufacturing Company
9%
Government
7%
Computer Software Company
6%
 

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 Enterprise88
 

Questions from the Community

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...
What is your primary use case for Apache Superset?
My major use case for Apache Superset is anything related to analytical dashboards.
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: April 2026.
893,221 professionals have used our research since 2012.