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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
5th
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
6th
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
126
Ranking in other categories
Embedded BI (2nd), AI Data Analysis (16th)
 

Mindshare comparison

As of August 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.7%, down from 9.9% compared to the previous year. The mindshare of Qlik Sense is 4.9%, down from 8.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Apache Superset2.7%
Qlik Sense4.9%
Other92.4%
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.
Saranya Deepthi - PeerSpot reviewer
Project Engineer at Wipro
Improved AI-driven dashboards have accelerated decisions but still need better visuals and faster refresh
Absolutely, nothing is entirely positive, and everything has both advantages and disadvantages. When I worked with Qlik Sense, circular charts were not available, which meant I had to look for alternative solutions that would be reliable or make the functionality work. There are some features that need to be added. Additionally, there is a limit to the number of fields that can be added in Qlik Sense, and I believe it would be beneficial if they increased the count for fields and columns. There might be requirements where an Excel file contains many columns that need to be displayed as visual representations to clients, and in those situations, it becomes very difficult and I have to use alternative approaches. When this problem arose, I used HTML code to write a solution and make it work. Qlik Sense should avoid these types of limitations in future updates. Another issue is page resolution. If a client wants to view the dashboard on a single page without scrolling, bar charts appear small and the values in KPIs, bar charts, scatter plots, and line graphs cannot be seen very clearly. Adding more extensions to make the job easier would also be beneficial. Improvements to reporting would be helpful as well, because working with large datasets makes reporting very difficult. Additionally, when data is refreshed, it cannot be completed in a short timeframe. Refreshing very large datasets can take one, two, or even three hours, so reducing the refresh time would be very useful for customers.

Quotes from Members

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

Pros

"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."
"When you click on any chart, you can apply the filter without any effort."
"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 solution supports a rich set of charts and enables users to create their own dashboards."
"It is a good visual solution tool in an open-source category."
"It's very easy, reliable, and trustable because it's an Apache open-source product."
"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."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"We have gained incredible value by using Qlik Sense by now enabling the users to utilize the data and the reports in an analytics platform, with all the users getting the same data and reports that will enable them to use the data and not spend hours preparing data."
"This solution has improved our organization by making our analysis results available to customers."
"Among Tableau, QlikView, and Qlik Sense, I prefer QlikView, due to its higher customization capabilities, its associative nature, and its ETL features."
"We can easily and quickly deploy new dashboards that reach a wide audience and any changes get reflected almost instantaneously for the users."
"It has improved our organization by providing data to decision-makers in a safe visual environment."
"The self-service capabilities that Qlik Sense offers are significant."
"Some of the valuable areas of this solution include producing individual reports and closing the gap."
"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

"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."
"The scalability of Apache Superset has been one of the challenges for us. We deployed it onto a bigger machine because as the users grew, we experienced a delay in data retrieval."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"Areas of Apache Superset that could be improved include enhancing the data visualization features and addressing the overall data sourcing limitations, such as the 800 kilobyte limit per query that sometimes restricts our analysis, especially if we need to access data from many years back."
"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."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"The product could be less expensive."
"So far, Qlik Sense hasn't improved much in the organization that I work for."
"I would like to see more native features from QlikView integrated into Qlik Sense."
"As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one."
"The next version should include more standard integrations."
"There is no downside."
"Even though the solution is a self-service solution, many non-technical users still struggle to create their reports."
"It needs to allow for customization of the dashboard objects and tabs."
 

Pricing and Cost Advice

"Apache Superset is open-source and free."
"Apache Superset has a three-year licensing model."
"The price of Apache Superset is less than some of its competitors."
"Apache Superset is an open-source solution."
"Qlik Sense and its pricing model can follow any scalability."
"Start small with tokens. You can always buy more."
"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."
"The solution is worth it."
"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."
"Know your needs when going into the purchasing decision."
"You will spend more time on educating your staff than licensing the product."
"The new licensing model is much better."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Government
7%
Computer Software Company
7%
Comms Service Provider
7%
Financial Services Firm
18%
Construction Company
9%
Manufacturing Company
9%
Government
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 Enterprise89
 

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.
What advice do you have for others considering Apache Superset?
In terms of dashboarding tools, I work with them on a daily basis and can help with Apache Superset. We use Apache Superset for dashboarding. I always use it for read purposes, and we don't manage ...
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: June 2026.
908,834 professionals have used our research since 2012.