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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 February 2026, in the Data Visualization category, the mindshare of Apache Superset is 4.9%, down from 10.6% compared to the previous year. The mindshare of Tableau Enterprise is 10.1%, down from 27.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise10.1%
Apache Superset4.9%
Other85.0%
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

"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."
"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."
"When you click on any chart, you can apply the filter without any effort."
"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."
"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."
"It's very easy, reliable, and trustable because it's an Apache open-source product."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"Tableau's initial setup was straightforward."
"Partner support is very good."
"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."
"Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us."
"Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good. It is a very good tool, and it basically brings life into data with good design. We have been creating a lot of interactive visualizations and dashboards. It has a public version. There are public communities from where you can get a lot of examples for practice."
"Tableau's most valuable features are user-friendliness and have a connection between multiple source systems. You can publish a report by using Tableau Public and there you can make your data online, not only batches of data, you can use it as an online analytical tool."
"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."
"Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on."
 

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."
"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."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"The platform's reporting feature needs enhancement."
"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."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"I take a long time to process the hundreds of thousands or millions of records that must be processed every day."
"Licensing and pricing options could be made better so that more users would be able to use it."
"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 solution’s pricing could be improved."
"When I've done presentations in the past, I've had issues with uploading the cartography."
"The process of embedding the dashboards on external portals and websites could be improved."
"Improvements needed for Tableau Enterprise include simplifying the initialization setup and enhancing data refresh performance, especially when dealing with a large data set, where I can see delays."
"Implementation requires a technical background."
 

Pricing and Cost Advice

"Apache Superset is open-source and free."
"Apache Superset has a three-year licensing model."
"Apache Superset is an open-source solution."
"The price of Apache Superset is less than some of its competitors."
"The solution's licensing is based on user-basis. It depends on the business ROI it offers. It's not on the higher side or too cheap; it falls in the medium-cost range. The price is determined by user usage, so the cost will also increase as the number of users increases."
"The value for money is definitely there."
"Tableau is an expensive solution, though it comes with its advantages."
"Buy 50 at a time. Project your use base every three months, and project your requirements forward."
"Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."
"It is expensive when you compare it with Power BI. It should be cheaper."
"The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives."
"Tableau is free."
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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
8%
Comms Service Provider
7%
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
10%
University
6%
 

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.
881,707 professionals have used our research since 2012.