Apache Superset vs Qlik Analytics Platform comparison

Apache and Qlik are both solutions in the Data Visualization category. Apache is ranked #2 with an average rating of 8.3, while Qlik is ranked #19 with an average rating of 7.0. Apache holds a 9.3% mindshare in DV, compared to Qlik’s 1.1% mindshare. Additionally, 100% of Apache users are willing to recommend the solution, compared to 100% of Qlik users who would recommend it.

Apache Superset

Read 12 Apache Superset reviews

3,094 Views
3,094 Comparison Views

100% willing to recommend

Qlik Analytics Platform

Read 4 Qlik Analytics Platform reviews

300 Views
297 Comparison Views

100% willing to recommend

Apache Superset

Qlik Analytics Platform

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Qlik Analytics Platform and Apache Superset compete in the data analytics field. Apache Superset appears to have an edge with advanced features, while Qlik offers competitive pricing and strong support options.

Features: Qlik Analytics Platform provides comprehensive data integration, visual analytics, and robust governance capabilities. It includes an ETL layer to transform data and connect multiple sources into a single model. Qlik also offers extensive security, scaling features, and data sharing options. Apache Superset is focused on scalability and flexibility, offering a rich set of charts and a self-service dashboard creation tool. Its open-source nature supports easy mapping of roles and embedding dashboards in web applications. Superset allows users to write custom queries and reuse KPIs in various reports.

Room for Improvement: Qlik Analytics Platform could enhance its scalability and flexibility, improve its no-code interface for non-technical users, and expand its range of supported data visualizations. Apache Superset should enhance its customer support resources, simplify its deployment process for non-technical users, and optimize its performance for handling large datasets.

Ease of Deployment and Customer Service: Qlik is known for its structured deployment and extensive support resources, which aid smooth organizational adoption. Apache Superset, as open-source software, necessitates a more hands-on approach with community-driven support, which might be challenging for some tech buyers seeking comprehensive assistance.

Pricing and ROI: Qlik Analytics Platform requires a substantial initial investment but promises long-term returns due to its extensive functionalities and support, catering to those valuing comprehensive service. Apache Superset, with its low-cost structure, offers significant cost savings, making it appealing to smaller organizations or those with tight budgets seeking scalable solutions.

To learn more, read our detailed Apache Superset vs. Qlik Analytics Platform Report (Updated: September 2025).

Buyer's Guide

Apache Superset vs. Qlik Analytics Platform

September 2025

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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

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Analytics Platform

Ranking in Data Visualization

19th

Average Rating

8.4

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Data Visualization category, the mindshare of Apache Superset is 9.3%, down from 10.3% compared to the previous year. The mindshare of Qlik Analytics Platform is 1.1%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Apache Superset	9.3%
Qlik Analytics Platform	1.1%
Other	89.6%

Data Visualization

Featured Reviews

Md Ariful Islam

Application Engineer at Rakuten Symphony

Provides robust search capabilities with potential for additional features

The initial deployment of Apache Superset was easy. Its integration is very straightforward. I found that when I chose Elasticsearch, its installation, settings, and integration with my application were also very easy; I could implement everything in just two or three days. It took me only one day to deploy it for the first time because I encountered complexities with the version differences, between version one and version two of Muktopaath. When I upgraded my version, the previous version did not support my new server installation, making it necessary for me to find and implement my previous versions' plugins. Although I could resolve it, I found it easy, aside from the version problem that took additional time.

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FerranGarcia

Solution Architect at Red Hat

Offers a user-friendly interface and a variety of data visualization tools

My advice to new users considering Qlik Analytics Platform is to carefully assess their data project needs. While Qlik is a solid on-premises platform, the trend in the industry is moving toward cloud-based data solutions, including data warehousing and integration. Cloud data warehouses are often more modern, feature-rich, and scalable. If you are planning to create a new data warehouse in the cloud, it might make sense to also opt for cloud-native integration tools. The tech world is shifting towards cloud-native solutions, which better match the direction most global data projects are heading. Overall, I would rate Qlik Analytics Platform as a seven out of ten.

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Quotes from Members

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

Pros

"The benefits I have seen from using Apache Superset for the business team are that they have been able to look at the numbers easily, log into the portal, and look at different dashboards, which are at different granularities."

"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."

"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."

"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."

"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."

"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."

More Apache Superset pros

"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."

"The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability."

"Reporting is a valuable feature of the solution."

"It is a great platform for third party extensions, has an open API, and there are no black boxes."

Cons

"The platform's reporting feature needs enhancement."

"With Apache Superset, we had some problems with the permissions when we had too many users."

"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."

"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."

"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."

"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."

"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."

"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."

"It would be great if decentralized teams would have more features to manage the metadata on the dashboards, setup the specific user access rights and rules to govern incoming and outgoing data sets from/to other teams, and more features to separate the different data process layers (e.g. extraction, transformation [data quality, business rules])."

"More freedom for custom visuals and dashboard creation 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."

"The user experience needs to be improved."

Pricing and Cost Advice

"Apache Superset is an open-source solution."

"The price of Apache Superset is less than some of its competitors."

"Apache Superset is open-source and free."

"Apache Superset has a three-year licensing model."

"It is the most expensive tool."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

12%

Government

Healthcare Company

Financial Services Firm

16%

Healthcare Company

10%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	4

No data available

Questions from the Community

What do you like most about Apache Superset?

It is a good visual solution tool in an open-source category.

See all answers

What is your experience regarding pricing and costs for Apache Superset?

Apache Superset is an open-source solution.

See all answers

What needs improvement with Apache Superset?

Apache Superset has good features for supporting multidimensional analysis, but I need more ability to customize. This depends on different tools used for different customers or users; Superset is ...

See all answers

What do you like most about Qlik Analytics Platform?

The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability.

See all answers

What needs improvement with Qlik Analytics Platform?

One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows. While it excels in real-time replication, it lacks robust...

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What advice do you have for others considering Qlik Analytics Platform?

See all answers

Comparisons

Qlik Sense vs Apache Superset

Compared 23% of the time

Tableau Enterprise vs Apache Superset

Compared 17% of the time

Sigma vs Apache Superset

Compared 9% of the time

Splunk Enterprise Platform vs Apache Superset

Compared 6% of the time

Sisense vs Apache Superset

Compared 6% of the time

More Apache Superset Competitors

Qlik Sense vs Qlik Analytics Platform

Compared 39% of the time

Adaptive Insights vs Qlik Analytics Platform

Compared 29% of the time

More Qlik Analytics Platform Competitors

Product Reports

Buyer's Guide

Apache Superset

September 2025

Download Apache Superset product report

Buyer's Guide

Data Visualization

August 2025

Download Qlik Analytics Platform product report

Overview

Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.

Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within applications effortlessly and leverage a wide range of chart options for sophisticated data representation. The self-service nature empowers teams to maintain data integrity and optimize processes swiftly. However, it seeks enhancement in documentation and dynamic dashboard navigation, with a need for more interactive features to rival industry-leading tools. Permissions management and interactivity need enhancement, especially in larger user environments.

What are the key features of Apache Superset?

Dashboard Configuration: Simplifies the process of setting up dashboards with minimal coding.
No-Code Environment: Enables dashboard creation without developer involvement.
Cross-Filters and Role Mapping: Allows dynamic filtering and user role mapping for tailored data access.
Embedded Analytics: Facilitates embedding of dashboards into applications.
Wide Chart Library: Offers diverse visualization options for comprehensive data display.

Why consider Apache Superset for your organization?

Data Consistency: Ensures unified data usage across dashboards.
Enhanced Insights: Provides insightful visualizations for better decision-making.
Process Optimization: Streamlines data processes for operational efficiency.
Self-Service Model: Empowers teams to manage data independently without IT intervention.

Industries utilize Apache Superset to create and integrate dashboards for data analysis and visualization. It is widely used in genomics to analyze data, monitor service performance in telecom, and manage metrics and KPIs. Companies leverage its capabilities for profitability insights, agent productivity assessments, and historical data trend analysis.

Apache

Part of the Qlik Sense family of products, the Qlik Analytics Platform puts the power of the Qlik Associative Engine and visualizations in the hands of application and web developers through powerful, open and modern API’s, allowing you to see the whole story within your data.

Qlik

Sample Customers

Information Not Available

Corporater

Buyer's Guide

Apache Superset vs. Qlik Analytics Platform

September 2025

Free Report: Apache Superset vs. Qlik Analytics Platform

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