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Apache Superset vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 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
2nd
Average Rating
8.2
Reviews Sentiment
5.2
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Tableau Enterprise
Ranking in Data Visualization
1st
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
309
Ranking in other categories
BI (Business Intelligence) Tools (2nd), Reporting (2nd), Embedded BI (1st)
 

Mindshare comparison

As of January 2026, in the Data Visualization category, the mindshare of Apache Superset is 5.5%, down from 10.2% compared to the previous year. The mindshare of Tableau Enterprise is 11.3%, down from 28.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise11.3%
Apache Superset5.5%
Other83.2%
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.
Uzair Faruqi - PeerSpot reviewer
Head Of Analytics at Mjunction Services
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

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 main benefit I have seen from working with Apache Superset so far is the speed from discovery and SQL to making charts and dashboards, along with its customizability."
"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."
"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."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"When you click on any chart, you can apply the filter without any effort."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"It's very easy, reliable, and trustable because it's an Apache open-source product."
"Tableau has greatly enhanced our organization's data-driven decision-making processes by enabling us to create visually compelling reports and dashboards."
"I like the visualization component."
"There are already connectors to almost every single major database and service that you can possibly think of."
"The best thing I like about Tableau is that you don't have to go for creating; it is calculated free."
"Tableau is very good in the front-end visualization compared to Power BI."
"It has a shallow learning curve and so you can go to market very, very, very quickly."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"Scheduled extract and the multiple connectors are fantastic!"
 

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."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"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."
"The platform's reporting feature needs enhancement."
"The pricing is a bit higher than the competition. They'll need to lower it to stay competitive."
"Tableau's data blending feature could use some improvement. Previously, I used other tools, such as Alteryx, for data blending because Tableau had limitations."
"The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough."
"The price of Tableau is too high."
"Provide additional enhancements in any business process: Operations, Marketing and Sales, Finance, Human Resources, Logistics, etc."
"With Tableau, there is a gap in its ability to handle very large-scale data."
"Firstly, the high cost of Tableau licenses makes it inaccessible for many mid-scale clients. Secondly, the server requires at least 128GB of RAM, which can be impractical for some systems. We need a dedicated system to use Tableau."
"The cost of owning the solutions from Tableau is much higher compared to any other analytical solutions."
 

Pricing and Cost Advice

"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."
"Apache Superset is an open-source solution."
"It is fairly expensive. I have no idea what they paid. We were on an enterprise license, so whatever it is they licensed at the enterprise level is what we paid."
"Its price is a concern. It is more expensive than Power BI. My guess would be that it is $1000 or less per year. We might go for Power BI in the future because of its umbrella with Microsoft licensing. It is much cheaper for us to use Power BI, and some folks will go in that direction because they don't want to pay the higher license."
"Buy 50 at a time. Project your use base every three months, and project your requirements forward."
"There is a license for this solution and we pay on an annual basis."
"In general, if someone is new and wants to learn Tableau, it's around $70 per month."
"Tableau is a little cheaper as compared to Power BI and other technologies that we have used in the past. However, if the business users in our organization want to make presentations, Tableau has been asking us to purchase a Tableau Creator license, and $35 per month is expensive for business users. Power BI is giving a free desktop version for business users to connect to any data source and build their own dashboards. That's why we have proposed to use Power BI for most of the business users in our organization."
"The solution is very expensive. If you have many users then it is going to cost your company a lot of money."
"Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
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Comparison Review

it_user6330 - PeerSpot reviewer
Product Manager at a retailer with 10,001+ employees
May 2, 2013
MicroStrategy vs. Tableau
After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
10%
Government
9%
Healthcare Company
7%
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
10%
University
7%
 

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 Business117
Midsize Enterprise67
Large Enterprise184
 

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 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...
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...
Tableau vs. Business Objects - Which is a better solution for visualization and analysis?
Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
 

Also Known As

No data available
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

Information Not Available
Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
Find out what your peers are saying about Apache Superset vs. Tableau Enterprise and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.