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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
8.8
Reviews Sentiment
6.6
Number of Reviews
45
Ranking in other categories
BI (Business Intelligence) Tools (13th), Cloud Analytics (4th), Reporting (9th), Embedded BI (6th)
 

Mindshare comparison

As of September 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.5%, down from 9.1% compared to the previous year. The mindshare of Sisense is 2.3%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Apache Superset2.5%
Sisense2.3%
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.
Vishal Halbe - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"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."
"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."
"It's very easy, reliable, and trustable because it's an Apache open-source product."
"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."
"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 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 customer service provided by Sisense is excellent; it's clear that the company is invested in their clients successfully implementing and using their product."
"The Sisense data cube allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"Visually displaying data."
"ROI is very good. The amount of money spent to users served is very low."
"Overall I think, it is a fantastic value-for-money analysis tool and I would absolutely recommend it to anyone who looks for a up-to-date BI solution that can be customized to your specific needs."
"We implemented the solution into an environment that had been using Excel as a business intelligence tool with data delivered on a monthly basis and we have freed our sales staff from being Excel pivot table experts."
"It's really user friendly and fast, so I can use the product during customer meetings not only to show dashboards, but to create and process data analytics in real-time, making it perfect for consultant workshops where you can't work with static dashboards."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
 

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."
"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 had issues when trying to export and import dashboards; I could not do it on the first attempt."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"The platform's reporting feature needs enhancement."
"Apache Superset needs more rich charting capabilities."
"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."
"The application lacks a control of the exporting function."
"Sometimes the platform works great, but other times, it's a drag and users are always on our necks to speed it up."
"The only thing I am missing is the option to plug in any data from any source easily since Sisense only offers a limited amount of supported data providers."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"I would say that using Sisense on Linux's platform might not be advantageous for everyone."
"Some flexibility with the labeling of visualizations would be nice."
"Sisense has no native support for week as a data dimension, which is a major issue for us."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
 

Pricing and Cost Advice

"Apache Superset is an open-source solution."
"Apache Superset has a three-year licensing model."
"The price of Apache Superset is less than some of its competitors."
"Apache Superset is open-source and free."
"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
21%
Government
8%
Comms Service Provider
7%
Computer Software Company
6%
Construction Company
13%
Financial Services Firm
10%
Outsourcing Company
10%
Comms Service Provider
9%
 

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 Business28
Midsize Enterprise7
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 manage ...
What needs improvement with Sisense?
So far, Sisense is performing well, but some visualizations lack flexibility in design options. Sisense should improve on handling extremely large data sets, and they should improve on maintaining ...
What is your primary use case for Sisense?
In our organization, we use Sisense for business intelligence where it helps us with complex data from multiple sources and provides excellent insights, which makes it easy for us to make data-driv...
What is your experience regarding pricing and costs for Sisense?
My experience with pricing, setup cost, and licensing has been positive, as the price is relatively affordable compared to other solutions, and I have no challenges with the pricing. The setup is s...
 

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: September 2026.
912,930 professionals have used our research since 2012.