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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

"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."
"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."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"When you click on any chart, you can apply the filter without any effort."
"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."
"It is a good visual solution tool in an open-source category."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"It automates recurring processes to save time and money."
"Qlik Sense has a modern look and feel and a very intuitive UI, so non-technical users find it very user friendly."
"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."
"Qlik offers you all the features needed to extract the raw data from the source systems including an ETL layer to transform the data and to connect the multiple data sources into one data model, easy data sharing, security and scaling features, dashboards, and report functionality to share your data with your end-users."
"Qlik has a powerful load script that uses an enhanced SQL language which is excellent for loading and transforming the data."
"Set analysis is a powerful scripting functionality which calculates complex queries into simple terms."
"Business users have been able to use the BI self-serve model."
"Takes the super features of QlikView ETL capabilities to a whole new level with its new drag and drop feature, and extension capabilities derived from the robust Qlik API."
 

Cons

"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"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."
"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."
"The platform's reporting feature needs enhancement."
"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."
"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."
"They need to make security rules to access applications and data security easier and customizable."
"Advanced graphs or visualizations must be in the built-in product, instead of building with open API extensions or mashups."
"The product could be improved by implementing a user-feedback ranking system."
"The reporting solution recently added to the latest Cloud version, since December or January, is not fully developed. The ability to use tabular reporting, like in dashboards, would be a great feature."
"The next version should include more standard integrations."
"There are some tools like Alteryx, which are used for data preparation. These features can be built into Qlik to make the process smoother."
"I would like to see Qlik add more DevOps functionality to their product. Currently, we have to turn to 3rd party products to handle things like Source Control, Code Deployment through environments, etc."
 

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 an open-source solution."
"Apache Superset is open-source and free."
"Ultimately, the cost is low, and it implements fast. The limiting factor is how quickly your staff can keep up."
"Qlik Sense is pretty good in terms of price."
"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."
"For on-premise enterprise users, a number of additional features come at a premium cost."
"The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."
"For personal use, the desktop version of Qlik Sense is absolutely free, and you can share visualizations with others and to a personal cloud space, though limited with storage space."
"Qlik Sense and its pricing model can follow any scalability."
"You will spend more time on educating your staff than licensing the product."
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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.