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Apache Superset vs Tableau Enterprise comparison

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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
5th
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 November 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.4%, down from 7.6% compared to the previous year. The mindshare of Tableau Enterprise is 9.6%, down from 17.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise9.6%
Apache Superset2.4%
Other88.0%
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.
Swetha Dhanasekar - PeerSpot reviewer
Senior GenAI Engineer at a tech vendor with 10,001+ employees
Centralized dashboards have transformed workforce trend analysis and speed up decisions
Tableau Enterprise helps us to consolidate the data and visualize daily and weekly trends in a clear and centralized dashboard, offering powerful features such as interactive dashboards, real-time data refreshing, advanced visual analytics, role-based access control, secure data, and seamless interaction with multiple data sources and automated reports. This will help us to analyze trends and collaborate across teams and scale analytics across the organization. These features help my team specifically by centralizing all employees' data in one place. This helps us reduce manual tracking and gives us real-time visibility into work from home versus office trends. The interactive dashboards allow quick decision-making, and the automated refresh time saves us a lot, while role-based access ensures data is shared securely with the right stakeholders. Tableau Enterprise has had a strong positive impact on our organization by improving data visibility, speeding up decision-making, and managing reports efficiently. The team can now access and track trends more effectively, and collaboration has improved using interactive dashboards. Overall, it has enhanced effectiveness and fostered a data-driven culture across the organization. The specific outcomes showing this positive impact include speeding up decision-making, which is the biggest impact because it saves us more time. Reporting time actually reduces sequentially since the dashboards refresh automatically. Data security is stronger, and data accuracy has improved, thanks to a centralized data source. Decision-making is also much faster since leaders can view real-time impacts instead of waiting for manual entry.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"When you click on any chart, you can apply the filter without any effort."
"It is a good visual solution tool in an open-source category."
"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."
"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."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"Visualization and user friendly."
"The drag and drop feature that provides self-service analytics with absolutely no coding is the most important feature."
"It is a nice solution, the vendor should listen to users and customers."
"Our company used Cognos Planner and a few other BI solutions before, and Tableau is less expensive and easier to use, making it an easy choice to make the switch."
"The ability to make interactive graphs, tables, and maps that can be shared on social media, linked to, or embedded on a website are the most valuable features."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them, and additionally, you can use the numeric values for the customization, which is an exceptional feature."
"For visual data analysis, discovery analysis and usability, it is the best product on the market."
"Tableau has allowed us to combine and visualize data from many entry points and provide users with a single source of consistent and reliable information."
 

Cons

"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"I had issues when trying to export and import dashboards; I could not do it on the first attempt."
"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."
"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."
"The scalability of Apache Superset has been one of the challenges for us. We deployed it onto a bigger machine because as the users grew, we experienced a delay in data retrieval."
"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."
"It is not so great when it comes to data exchange/integration, data mining, etc."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"For MNCs, the server version license is not cheap; and row-level security: every user needs a DB account, which can give a hacker more opportunity to attack via more DB accounts."
"Deployment is really easy and simple until and unless you get your hands on the Server-Worker Configuration setup. That is a bit tricky."
"I would like Tableau Prep to be integrated with Tableau Desktop. I would also like more customizations for tables."
"Its price should be improved. Its price is much higher than Power BI and QlikView. Programming is not easy on Tableau. For programming, you have to have a separate model. They should include programming directly on the web portion of the Tableau desktop so that people can write Python or JavaScript code for customizations instead of using a different model. Currently, Tableau Data Prep is a separate application that you have to purchase. It would be helpful if they can include Tableau Data Prep and programming languages such as R, Python in the next version. Tableau Public, which is a community version, doesn't allow you to save your work on your desktop. They should allow it. Currently, you can only upload it in the community."
"During the data crunching phase, it takes time for Tableau to connect, integrate, and download the data."
"Version-specific work did not automatically version up with the upgrade. Since the version change occurred during the course and the majority of us had never used Tableau before, this static versioning for the projects caused some anxiety and some rework."
 

Pricing and Cost Advice

"The price of Apache Superset is less than some of its competitors."
"Apache Superset has a three-year licensing model."
"Apache Superset is open-source and free."
"Apache Superset is an open-source solution."
"One of the biggest drawbacks of Tableau is the price, it is expensive. The price should be reduced."
"At $70 per month, I think the price is a bit scary. I have a small consulting firm in Ghana, working in about 15 different African countries, and when it comes to our part of the world, $70 a month is a lot of money for software."
"It is expensive when you compare it with Power BI. It should be cheaper."
"Tableau is not as cost-effective as Microsoft BI."
"Its price is reasonable. Everything is included in the license."
"There is a license required, we pay an annual license which is priced fair."
"Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
"For our organization, the cost hasn't been an issue."
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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
20%
Comms Service Provider
8%
Government
8%
Computer Software Company
6%
Financial Services Firm
14%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
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 Enterprise185
 

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.
What advice do you have for others considering Apache Superset?
In terms of dashboarding tools, I work with them on a daily basis and can help with Apache Superset. We use Apache Superset for dashboarding. I always use it for read purposes, and we don't manage ...
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: September 2026.
920,769 professionals have used our research since 2012.