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Apache Superset vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 15, 2026

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
3rd
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 May 2026, in the Data Visualization category, the mindshare of Apache Superset is 3.4%, down from 10.9% compared to the previous year. The mindshare of Tableau Enterprise is 10.3%, down from 24.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise10.3%
Apache Superset3.4%
Other86.3%
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 Data Science 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 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."
"It's very easy, reliable, and trustable because it's an Apache open-source product."
"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."
"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."
"When you click on any chart, you can apply the filter without any effort."
"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."
"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's a very powerful data visualization tool."
"Tableau will automatically show charts for the related data that I choose, making it very easy to use."
"You are able to see and follow trends."
"Customer Service: Very good."
"When compared to Power BI, Tableau has more readily available resources."
"The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it."
"The product’s performance is better than other tools."
"One of Tableau’s secrets is that they have one of the best tech support in the world of BI."
 

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."
"The platform's reporting feature needs enhancement."
"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."
"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."
"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."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"Many users in my organization feel that Tableau is great with RDBMS, but with Hadoop or cube data sources, the performance is not so great."
"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."
"Part graphical gauges compliance does not include the Balance Score Card style, however you can develop these graphics, another shortcoming in not having mondrian engines."
"The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application."
"I don't think it is scalable because of the stability issue."
"When there are millions of records, scaling up is quite difficult."
"People are migrating to Microsoft BI due to the speed, which is quite slow to load, and the lack of visualization options."
"More integration with Python or something related to machine learning would be a good improvement."
 

Pricing and Cost Advice

"Apache Superset is an open-source solution."
"Apache Superset has a three-year licensing model."
"Apache Superset is open-source and free."
"The price of Apache Superset is less than some of its competitors."
"I rate the product price in the Indian region a seven to eight on a scale of one to ten, where one is a low price, and ten is a high price."
"It is reasonable based on what it offers."
"For big business, Tableau could be expensive as having a lot of Tableau server users (entering with a browser to reports) could be a bit expensive."
"The solution is very expensive. If you have many users then it is going to cost your company a lot of money."
"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."
"Tableau is not as cost-effective as Microsoft BI."
"Tableau is an expensive solution."
"For data extraction and analysis, Tableau is better than any other tool I have used with the same pricing model."
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Comparison Review

it_user79932 - PeerSpot reviewer
Senior Manager - BI Head with 5,001-10,000 employees
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
8%
Government
7%
Comms Service Provider
6%
Financial Services Firm
16%
Manufacturing Company
9%
Computer Software Company
8%
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 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.
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: April 2026.
893,221 professionals have used our research since 2012.