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Apache Superset vs Sisense 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
Sisense
Ranking in Data Visualization
11th
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
49
Ranking in other categories
BI (Business Intelligence) Tools (12th), Cloud Analytics (4th), Reporting (11th), Embedded BI (6th)
 

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 Sisense is 2.4%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Apache Superset2.4%
Sisense2.4%
Other95.2%
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.
Gemipas Micah - PeerSpot reviewer
Lead Software Engineer at Ernst & Young
Unified finance dashboards have accelerated data-driven decisions and improved forecasting
The best features Sisense offers include that it is fast due to its In-Chip methodology. It uses great visualization. BI becomes easy with Sisense. Millions of data can be loaded in a few seconds, which did not seem possible with other traditional reporting tools. It has a robust architecture and provides REST APIs to access it externally. That speed impacts my workflow significantly as it represents the greatest step and latest in the business intelligence market. It provides In-Chip technology for accessing millions of data in the shortest span of seconds and provides the best visual efforts for our business data to make data-driven decisions easily. Sisense has positively impacted my organization as it reduces the time it takes to obtain an optimal return on investments. It delivers the instant analysis required to merge our financial numbers and statistics with a pretty accurate dashboard landscape. Hence, we are able to make data-driven decisions easily. Sisense has improved our decision-making speed and saved my team, especially the data team, time. They are able to focus on more strategic other tasks because Sisense has done the work of providing analytics and deep insights where we are able to make data-driven analytics easily.

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."
"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."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"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 solution supports a rich set of charts and enables users to create their own dashboards."
"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."
"We have been very pleased with our experience with Sisense to date."
"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."
"I have found the dashboard creating feature helpful."
"Support is very responsive and clearly one of the strengths of Sisense. I have always received a fast response and the staff is very helpful."
"ROI was realized immediately by reducing manual report labor."
"In a short period of time, my team acquired the necessary skills to deploy a very high quality BI tool across the company, integrating all our data sources and building dashboards expected by different business units for a long time."
"Time to deployment was one of our most critical factors in choosing a BI vendor, and I am not sure you can get to deployment faster than Sisense."
"Sisense also allowed us to achieve some less conventional projects like abstracting the effect of the price increases on our sales."
 

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."
"Apache Superset needs more rich charting capabilities."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"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."
"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."
"Users with viewer access have less capabilities than similar users in Tableau."
"During the introductory training, our trainer wasn't able to accompany us on this subject and there is no return on experience from the community, probably because integration with R seems to be new."
"For very complicated blended data from multiple sources we would like Sisense to add a "nerd mode" where we can geek out without the visual connecting of tables and data elements."
"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."
"We are moving to a better tool."
"Sisense doesn't have connections with statistical packages like R, SAS, etc."
"Although its plugin support mitigates this, Sisense could use additional out-of-the-box visualizations."
"The solution's setup process could be easier."
 

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."
"This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."
"Compared to Power BI or Tableau, Sisense is much more expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Comms Service Provider
8%
Government
8%
Computer Software Company
6%
Construction Company
11%
Outsourcing Company
11%
Comms Service Provider
11%
Financial Services Firm
11%
 

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 Business33
Midsize Enterprise8
Large Enterprise16
 

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 man...
What needs improvement with Sisense?
Areas where Sisense can be improved include AI integration, particularly effective deployment of the AI tool, rather than just having AI, and addressing the challenges around infra-scaling to suppo...
What is your primary use case for Sisense?
My main use case for Sisense during our three-year period involved a review, an implementation, and then a progression upgrade. A specific example of how I used Sisense during that time is that we ...
What is your experience regarding pricing and costs for Sisense?
Regarding pricing, setup cost, and licensing, the version six point three point one release was good initially, but I had to keep a close eye on costs, as it requires maintaining a tight format to ...
 

Comparisons

 

Overview

 

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
Find out what your peers are saying about Apache Superset vs. Sisense and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.