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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 June 2026, in the Data Visualization category, the mindshare of Apache Superset is 3.0%, down from 10.7% compared to the previous year. The mindshare of Tableau Enterprise is 9.7%, down from 23.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise9.7%
Apache Superset3.0%
Other87.3%
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.
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 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."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"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 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."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"It's very easy, reliable, and trustable because it's an Apache open-source product."
"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."
"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."
"Tableau Enterprise has had a strong positive impact on our organization by improving data visibility, speeding up decision-making, and managing reports efficiently."
"I really like the user-friendly (usability, user experience) layout of Tableau."
"It is very easy to build charts and drag and drop the fields that are there, it automatically identifies the dimensions and measures and makes our life easier when we need to build any dashboard."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"It has allowed a shift from IT-centric enterprise reporting to business-centered development of ad-hoc and enterprise reporting, in partnership with IT."
"Tableau will automatically show charts for the related data that I choose, making it very easy to use."
"It's very easy to visualize data with this product. The visualization maps of and frames that we have been able to cross-reference has been excellent."
"It is an excellent tool for data capture, processing, and visualization."
 

Cons

"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"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."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"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."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"Poor Performance in hierarchical data– this is an usability problems when filtering as it doesn’t recognise the hierarchy."
"Yes, certain features cause Tableau to hang repeatedly - for example, editing the data source to point to another extract."
"The solution is integrated reasonably well but I'd like to see some custom connectors and more integration with different platforms."
"The solution could improve the scalability, it is difficult to make changes."
"During the data crunching phase, it takes time for Tableau to connect, integrate, and download the data."
"While noted that the product is specifically designed for visualization, it would be the perfect tool if it had more ETL features."
"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."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
 

Pricing and Cost Advice

"Apache Superset is open-source and free."
"Apache Superset is an open-source solution."
"Apache Superset has a three-year licensing model."
"The price of Apache Superset is less than some of its competitors."
"I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually."
"It is reasonable and cheap as compared to other major tools. It has a good price, and people go for it because of its pricing."
"Tableau's licensing is pretty straightforward and simple."
"The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives."
"Pricing is not bad. It's competitive."
"In Korea, the tool's pricing depends on the scale of usage. For instance, it's reasonable for a department with fewer than 50 users to adopt Tableau, like sales. However, the pricing becomes an issue when considering an enterprise solution for a larger user base, say 10,000 people."
"I like the payment model. For the people who need to create, they buy their licenses. Everyone else can use the free Tableau Viewer. This is much better than some of the competitor products, which require full licences for everything."
"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."
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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%
Computer Software Company
8%
Government
7%
Comms Service Provider
7%
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
8%
Construction Company
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 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.
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: June 2026.
899,283 professionals have used our research since 2012.