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Apache Superset vs Qlik Sense comparison

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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 (4th), AI Data Analysis (17th)
 

Mindshare comparison

As of November 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.4%, down from 7.6% compared to the previous year. The mindshare of Qlik Sense is 4.8%, down from 7.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Apache Superset2.4%
Qlik Sense4.8%
Other92.8%
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.
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

"It is a good visual solution tool in an open-source category."
"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."
"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."
"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's very easy, reliable, and trustable because it's an Apache open-source product."
"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."
"QlikSense has drastically and dramatically made our analytical function more efficient."
"The product is very stable."
"Qlik Sense is a mission-critical environment - the directors can't make their work happen without it."
"All the necessary information is available to everyone in real time."
"Qlik Sense has allowed us to compile and analyze our data in real-time, thanks to the various and specific applications that have been designed and built."
"Qlik Sense has given us the ability to load large log files and provide analytics."
"Time-saving efficiencies have translated into genuine bottom-line improvements via the reduction in FTE."
"It connects very simply​ to data sources."
 

Cons

"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."
"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 had issues when trying to export and import dashboards; I could not do it on the first attempt."
"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."
"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."
"The tools perform very well but there is the inconvenience of being bound to only use Qlik tools in order to read your data."
"There is a direction currently with feature releases within QLik Sense which are focused towards the SaaS or Cloud offerings of Qlik Sense. This leaves those who have invested heavily in on-premise enterprise deployments in a difficult position to gain the benefits of some powerful new features they have to look to reinvest further towards these SaaS or Cloud deployments or bring in a hybrid model. Qlik provides no real split between what features are available in each of the deployment options."
"Currently, we are not very happy with the iPad or iPhone app because it is not working as we want."
"There is not much information available. It is not a mainstream tool that many companies use, so if you are doing something that has not been done before, you can find it challenging to get an answer."
"Technical support is poor: We definitely use community support."
"The next version should include more standard integrations."
"Some of the charts are still a bit basic and screen rendering on different sized monitors can be an issue."
"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."
 

Pricing and Cost Advice

"Apache Superset is open-source and free."
"Apache Superset is an open-source solution."
"The price of Apache Superset is less than some of its competitors."
"Apache Superset has a three-year licensing model."
"Licensing can start to get expensive, but compared to other tools in this space it is about average."
"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."
"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."
"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."
"It is the most expensive tool."
"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%
Comms Service Provider
8%
Government
8%
Computer Software Company
6%
Financial Services Firm
17%
Manufacturing Company
11%
Construction Company
9%
Outsourcing 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 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: September 2026.
920,769 professionals have used our research since 2012.