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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
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 March 2026, in the Data Visualization category, the mindshare of Apache Superset is 4.5%, down from 10.4% compared to the previous year. The mindshare of Tableau Enterprise is 11.0%, down from 27.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise11.0%
Apache Superset4.5%
Other84.5%
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

"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."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"It is a good visual solution tool in an open-source category."
"It's very easy, reliable, and trustable because it's an Apache open-source product."
"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."
"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."
"It enabled a small organization to employ a state-of-art reporting tool without massive IT implementation cost (such as servers, ETLs, data admin, etc.)."
"The maps and colors and interface are all fantastic."
"The solution offers very good reporting."
"The solution helps users create dashboards and analyze data without relying on IT or product teams."
"Valuable features include the various “Show Me” graph options; the ability to do forecasting (which is an area that Tableau needs to continue growing its modeling capabilities); and the immediate responsiveness to adding dimensions/measures and their effect on the visualization."
"It has given us faster reporting, resulting in better management of the information, and better usage of information in decision making."
"All the reports that we develop using Tableau are complimented by our directors, as the information is visualized well."
"Previously, we were maintaining an Excel file for graphs and tables, but with Tableau, dashboards are released and we have requested employees to access the data directly from the dashboard, and now the process is automated so there are no manual errors."
 

Cons

"The platform's reporting feature needs enhancement."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"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."
"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."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"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."
"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."
"It needs a little bit more advanced modeling. I would like to see functionality like Cognos has in the Framework Manager."
"The SQL programming functionality needs to be improved."
"If they could add global filters in the stories, more chart types, and default colours, it would help."
"The architecture should be improved to better handle the data."
"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."
"From the developer perspective, the data connection handling the target data set is what most needs to be improved."
"Many things have to be improved in Tableau. Right now, we make the calculation, and then we get that information. It would be better if business users could do that. I would ask the people at Tableau to provide that option to business users to get that information in one click. It would be better if they automated some calculations. There should be more automation in Tableau. However, there are many things in automation mode, but it is very limited at the moment. We need automation for people who do not know much about Tableau. It would also be better if there were good community support like in Alteryx."
"Include forecasting on table calculation fields."
 

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."
"Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
"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."
"Its price is higher than Power BI and QlikView. Tableau costs around $70 per user per month, whereas Power BI is around $8 to $9. QlikView is around $30. Tableau has various prices for various models such as Creator, Designer."
"It is more expensive than other solutions."
"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."
"Cost is where tools like MicroStrategy, Power BI, or Spotfire come into play. Cost-wise, Tableau is a little bit costlier than other tools such as Power BI. I have been using Tableau all these years, but about four years ago, Power BI came out at a very low cost. Their desktop version was free from the beginning. Power BI Desktop has always been free, whereas Tableau Desktop is costly. When it comes to cost, people prefer Power BI because it integrates very well with Office 365. You don't have to worry about integration with Teams or SharePoint."
"Licensing fees are paid on a yearly basis."
"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
9%
Government
8%
Comms Service Provider
6%
Financial Services Firm
13%
Computer Software Company
9%
Manufacturing Company
9%
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: March 2026.
884,873 professionals have used our research since 2012.