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Apache Superset vs Tableau comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 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
4.7
Number of Reviews
9
Ranking in other categories
No ranking in other categories
Tableau
Ranking in Data Visualization
1st
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
307
Ranking in other categories
BI (Business Intelligence) Tools (2nd), Reporting (2nd), Embedded BI (1st)
 

Mindshare comparison

As of July 2025, in the Data Visualization category, the mindshare of Apache Superset is 10.3%, up from 10.2% compared to the previous year. The mindshare of Tableau is 22.9%, down from 30.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
 

Featured Reviews

Muhammed Shafad - PeerSpot reviewer
Scalable platform with efficient data set creation features
It is a good visual solution tool in an open-source category. Our customers want to improve the business into a SaaS model. They analyze the telecom-based transaction data with SaaS, including the number of subscribers, usage of 4G and 5G networks, etc. The platform improved data analysis for our customers by providing a visualization library. We can drag visualization graphs to create weekly sessions. There is no need to implement any extra coding. It has no code interface allowing us to track the dimensions and measure the canvas. It automatically generates the chat once we select the graph. The most efficient features are data set creation and data manipulation. We can directly use the raw data table and summarize it dynamically by processing the data manipulation window. SQL Editor enhances the data scoring process, helping us write queries directly during dashboard discrepancy issues. We can store the query for future analysis as well. It enables a customizable integration with other data sources. The main benefit of using the product is the ability to access the data source without using any coding. Any user can create reports easily with minimal training. I recommend Apache Superset for customers who are considering open-source vendors. I rate it an eight out of ten.
Nattawat Choosuwan - PeerSpot reviewer
Real-time data connection enhances workflow and decision-making process
An area for improvement in Tableau is the Explorer license type. It is not as useful, and the product owner should enhance its benefits or clarify its role. Additionally, the frequent updates with many versions available for download can be confusing and could affect stability. They should avoid providing access to older versions on their website.

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."
"It is a good visual solution tool in an open-source category."
"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."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"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."
"When you click on any chart, you can apply the filter without any effort."
"Tableau's most valuable features are its ability to summarize data, provide dynamic controls for navigating different charts, and showcase historical data trends. I appreciate the option to colour-code different charts for improved customer experience."
"The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me."
"It's easy to use."
"I like the solution's web version, more so than Power BI's web version. It just makes it easier to drag and drop things and to blend data on the backend. It simplifies the process."
"It is an excellent tool for data capture, processing, and visualization."
"Easy to create graphs and visualizations."
"I really like the interactivity of the dashboards."
"One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been."
 

Cons

"The platform's reporting feature needs enhancement."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"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."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"Tableau's data blending feature could use some improvement. Previously, I used other tools, such as Alteryx, for data blending because Tableau had limitations."
"Tableau could be improved by introducing a data manipulation layer within the tool itself. Currently, data manipulations require using additional tools like Alteryx. If Tableau included these capabilities, it would reduce the need for external dependencies. The tool gets slower when we feed huge amounts of data."
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
"There should be more GIS features, such as location analysis, which is quite limited. There are very few location-based functionalities."
"An area for improvement in Tableau is the Explorer license type. It is not as useful, and the product owner should enhance its benefits or clarify its role. Additionally, the frequent updates with many versions available for download can be confusing and could affect stability."
"The charting is overly complex in comparison with Power BI's"
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
 

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."
"Tableau has reasonable pricing."
"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."
"Pricing could be better. I believe they should offer better pricing for deployment in small to mid-sized companies."
"I believe it has a lifelong license, and once you purchase it, you don't have to renew it, but I'm not sure."
"The solution is very expensive. If you have many users then it is going to cost your company a lot of money."
"It is expensive when you compare it with Power BI. It should be cheaper."
"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."
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Comparison Review

it_user6330 - PeerSpot reviewer
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
22%
Computer Software Company
14%
Government
9%
Healthcare Company
7%
Financial Services Firm
16%
Computer Software Company
10%
Manufacturing Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
With Apache Superset, we had some problems with the permissions when we had too many users. Some permissions were not really clear even after reading the documentation.
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 ...
 

Comparisons

 

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 and other solutions. Updated: July 2025.
864,053 professionals have used our research since 2012.