Apache Superset vs Sisense comparison

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Apache Superset

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Executive SummaryUpdated on Jan 1, 2025

Sisense and Apache Superset compete in the business intelligence (BI) sector, focusing on data visualization and analytic solutions. Sisense appears to have an edge with its impressive ease of use and customer support, whereas Superset is recognized for its open-source flexibility and self-service functionalities.

Features: Sisense is appreciated for its seamless integration of multiple data sources, swift handling of large datasets, and intuitive dashboard creation through ElastiCube technology. Apache Superset, meanwhile, offers flexibility in dashboard configuration, supports a wide array of visualization tools, and boasts a user-friendly interface that minimizes the need for technical aid.

Room for Improvement: Sisense could benefit from enhanced data export controls, expanded statistical package support, and an interface that more effectively accommodates large-scale data operations. Apache Superset would improve with better documentation, increased user interaction capabilities, and more dynamic real-time data features.

Ease of Deployment and Customer Service: Sisense is extolled for its rapid deployment across platforms and robust customer support, which is both responsive and knowledgeable. Apache Superset offers flexible deployment options yet lacks the extensive support network, requiring users to often rely on self-directed solutions.

Pricing and ROI: Sisense's competitive pricing fits well in the BI market, offering substantial ROI despite potential expense concerns for smaller businesses. Apache Superset, being open-source, presents a cost-effective solution with significantly lower initial expenses, although operational costs must be considered as services scale.

To learn more, read our detailed Apache Superset vs. Sisense Report (Updated: November 2025).

Apache Superset vs. Sisense

November 2025

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Helped 873,637 peers since 2012

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

Ranking in other categories

No ranking in other categories

Sisense

Ranking in Data Visualization

13th

Average Rating

8.8

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (18th), Cloud Analytics (5th), Reporting (13th), Embedded BI (7th)

Mindshare comparison

As of November 2025, in the Data Visualization category, the mindshare of Apache Superset is 7.8%, down from 9.9% compared to the previous year. The mindshare of Sisense is 2.5%, down from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Apache Superset	7.8%
Sisense	2.5%
Other	89.7%

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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Vishal Halbe

System Integration Specialist at a non-profit with self employed

Has improved project turnaround time with customizable dashboards and faster data delivery to stakeholders

Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle. Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics. Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.

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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

"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 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."

"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."

"What I appreciate the most about Apache Superset is that it's free and easy to set up."

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

"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."

"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."

"The solution supports a rich set of charts and enables users to create their own dashboards."

More Apache Superset pros

"The solution's technical support team is good."

"We like that this solution allows us to use data cubes to set up specific visualizations."

"Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."

"The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions."

"We monetize Sisense to our customers so they can transform it into their application, and it works as a native application."

"It has allowed me to move my data to the cloud."

"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."

"Sisense has helped us gain knowledge about our customers, as well as highlighting data quality issues to correct."

More Sisense pros

Cons

"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."

"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."

"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 platform's reporting feature needs enhancement."

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

More Apache Superset cons

"They should improve the filters to create downloaded data by moving them to the top of the dashboard."

"Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky."

"The solution's setup process could be easier."

"I would say that using Sisense on Linux's platform might not be advantageous for everyone."

"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"

"Sisense is not able to handle three-dimensional data."

"I would like to see an improvement in the live data connection, specifically making the process faster."

"The administrative side of Sisense is a little cumbersome and confusing."

More Sisense cons

Pricing and Cost Advice

"Apache Superset is open-source and free."

"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."

"Compared to Power BI or Tableau, Sisense is much more expensive."

"This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

11%

Government

Healthcare Company

Financial Services Firm

16%

Computer Software Company

10%

Government

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	7
Large Enterprise	11

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 is your experience regarding pricing and costs for Apache Superset?

Apache Superset is an open-source solution.

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 needs improvement with Sisense?

What is your primary use case for Sisense?

Sisense was used for one of our clients to enable analytics and dashboards for their applications, which were supposed to get the data from different partners for that specific client. Sisense is w...

What is your experience regarding pricing and costs for Sisense?

My experience with pricing, setup cost, and licensing shows that pricing is a little bit higher when compared to other applications, but that justifies the use case.

Qlik Sense vs Apache Superset

Comparisons

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Compared 13% of the time

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Compared 9% of the time

Splunk Enterprise Platform vs Apache Superset

Compared 6% of the time

RStudio Connect vs Apache Superset

Compared 5% of the time

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Microsoft Power BI vs Sisense

Compared 22% of the time

Tableau Enterprise vs Sisense

Compared 17% of the time

Qlik Sense vs Sisense

Compared 10% of the time

Amazon QuickSight vs Sisense

Compared 6% of the time

SAP Crystal Reports vs Sisense

Compared 6% of the time

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Product Reports

Download Apache Superset product report

Apache Superset

November 2025

Download Sisense product report

October 2025

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

Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.

Sample Customers

Information Not Available

Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo