Apache Superset vs Tableau Enterprise comparison

Apache and Salesforce are both solutions in the Data Visualization category. Apache is ranked #2 with an average rating of 8.3, while Salesforce is ranked #1 with an average rating of 8.3. Apache holds a 9.2% mindshare in DV, compared to Salesforce’s 19.2% mindshare. Additionally, 100% of Apache users are willing to recommend the solution, compared to 89% of Salesforce users who would recommend it.

Apache Superset

Read 12 Apache Superset reviews

2,898 Views
2,898 Comparison Views

100% willing to recommend

Tableau Enterprise

Read 307 Tableau Enterprise reviews

18,844 Views
5,653 Comparison Views

89% willing to recommend

Apache Superset

Tableau Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 4, 2025

Tableau Enterprise and Apache Superset compete in the data visualization category. Tableau Enterprise seems to have the upper hand in enterprise features and customer support, while Apache Superset excels in cost-effectiveness and SQL compatibility.

Features: Tableau Enterprise offers rich graphical representations, seamless integration with various data sources, and flexible analytics capabilities. Apache Superset provides SQL compatibility, self-service analytics, and customization for dashboards.

Room for Improvement: Tableau could improve on offering more affordable licensing options, handling large datasets, and enhancing its ETL capabilities. Superset needs improvements in user interface design, richer charting capabilities, and better documentation for advanced features.

Ease of Deployment and Customer Service: Tableau's well-regarded customer service and widespread deployment options across multiple environments make it appealing. Superset, while having vibrant community support, has less extensive documentation compared to Tableau, posing challenges for newcomers.

Pricing and ROI: Tableau Enterprise is costly but offers high ROI due to enhanced decision-making and data handling capabilities. Apache Superset, being open-source, provides a cost-effective solution for organizations focused on budget efficiency, albeit with more manual setup.

To learn more, read our detailed Apache Superset vs. Tableau Enterprise Report (Updated: September 2025).

Buyer's Guide

Apache Superset vs. Tableau Enterprise

September 2025

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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

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Tableau Enterprise

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 October 2025, in the Data Visualization category, the mindshare of Apache Superset is 9.2%, down from 10.2% compared to the previous year. The mindshare of Tableau Enterprise is 19.2%, down from 29.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	19.2%
Apache Superset	9.2%
Other	71.6%

Data Visualization

Featured Reviews

Md Ariful Islam

Application Engineer at Rakuten Symphony

Provides robust search capabilities with potential for additional features

The initial deployment of Apache Superset was easy. Its integration is very straightforward. I found that when I chose Elasticsearch, its installation, settings, and integration with my application were also very easy; I could implement everything in just two or three days. It took me only one day to deploy it for the first time because I encountered complexities with the version differences, between version one and version two of Muktopaath. When I upgraded my version, the previous version did not support my new server installation, making it necessary for me to find and implement my previous versions' plugins. Although I could resolve it, I found it easy, aside from the version problem that took additional time.

Read full review

Uzair Faruqi

Head Of Analytics 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.

Read full review

Quotes from Members

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

Pros

"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."

"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."

"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."

"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."

"The solution supports a rich set of charts and enables users to create their own dashboards."

"What I appreciate the most about Apache Superset is that it's free and easy to set up."

"When you click on any chart, you can apply the filter without any effort."

More Apache Superset pros

"Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis."

"Overall, Tableau is a very good tool."

"The best part about Tableau is the visualization."

"Show Me is a feature to help with knowing which chart is an appropriate one for the selected variables, and it makes helps in creating appropriate visuals."

"It is easy to adapt visualizers to have interactive conversations among decision-makers."

"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."

"Tableau's most valuable features are user-friendliness and have a connection between multiple source systems. You can publish a report by using Tableau Public and there you can make your data online, not only batches of data, you can use it as an online analytical tool."

"Tableau reduces manual labor and resources, providing cost-effective solutions for our operations."

More Tableau Enterprise pros

Cons

"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."

"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."

"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."

"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."

"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."

"With Apache Superset, we had some problems with the permissions when we had too many users."

"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."

"The platform's reporting feature needs enhancement."

"From the developer perspective, the data connection handling the target data set is what most needs to be improved."

"There should be stronger data modules for the platform."

"The customization requires a lot of effort and should be simplified. The performance could be better."

"There are not enough language options. It needs to be offered in more than just English."

"In the next release, I would like to be able to have the option to see more raw data that I'm converting on the dashboard."

"We would like a report model, because currently there is no schema that we can create in the tool."

"Requires a lot of user training."

"The customization in the front end is a bit difficult."

More Tableau Enterprise cons

Pricing and Cost Advice

"Apache Superset is an open-source solution."

"Apache Superset is open-source and free."

"The price of Apache Superset is less than some of its competitors."

"Apache Superset has a three-year licensing model."

"The product's price is relatively inexpensive and manageable for enterprise-level companies."

"The price of Tableau is high, although there are different types of licenses available."

"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."

"ROI is very high, but it requires a data preparation/blending tool."

"It's an annual fee with everything included but it's quite expensive."

"Tableau is an expensive solution compared to Power BI."

"Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"

"The pricing is $70 per month. You have to pay about $800 or something in that ballpark annually for one license."

More Tableau Enterprise pricing and cost advice

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Comparison Review

it_user6330

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…

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

12%

Government

Healthcare Company

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	117
Midsize Enterprise	66
Large Enterprise	182

Questions from the Community

What do you like most about Apache Superset?

It is a good visual solution tool in an open-source category.

See all answers

What is your experience regarding pricing and costs for Apache Superset?

Apache Superset is an open-source solution.

See all answers

What needs improvement with Apache Superset?

Apache Superset has good features for supporting multidimensional analysis, but I need more ability to customize. This depends on different tools used for different customers or users; Superset is ...

See all answers

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...

See all answers

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...

See all answers

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 ...

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Comparisons

Qlik Sense vs Apache Superset

Compared 23% of the time

Sigma vs Apache Superset

Compared 9% of the time

Splunk Enterprise Platform vs Apache Superset

Compared 7% of the time

Sisense vs Apache Superset

Compared 6% of the time

SAP BusinessObjects Dashboards vs Apache Superset

Compared 5% of the time

More Apache Superset Competitors

Microsoft Power BI vs Tableau Enterprise

Compared 17% of the time

Domo vs Tableau Enterprise

Compared 8% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 6% of the time

Databricks vs Tableau Enterprise

Compared 5% of the time

MicroStrategy vs Tableau Enterprise

Compared 2% of the time

More Tableau Enterprise Competitors

Product Reports

Buyer's Guide

Apache Superset

September 2025

Download Apache Superset product report

Buyer's Guide

Tableau Enterprise

September 2025

Download Tableau Enterprise product report

Also Known As

No data available

Tableau Desktop, Tableau Server, Tableau Online

Overview

Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.

Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within applications effortlessly and leverage a wide range of chart options for sophisticated data representation. The self-service nature empowers teams to maintain data integrity and optimize processes swiftly. However, it seeks enhancement in documentation and dynamic dashboard navigation, with a need for more interactive features to rival industry-leading tools. Permissions management and interactivity need enhancement, especially in larger user environments.

What are the key features of Apache Superset?

Dashboard Configuration: Simplifies the process of setting up dashboards with minimal coding.
No-Code Environment: Enables dashboard creation without developer involvement.
Cross-Filters and Role Mapping: Allows dynamic filtering and user role mapping for tailored data access.
Embedded Analytics: Facilitates embedding of dashboards into applications.
Wide Chart Library: Offers diverse visualization options for comprehensive data display.

Why consider Apache Superset for your organization?

Data Consistency: Ensures unified data usage across dashboards.
Enhanced Insights: Provides insightful visualizations for better decision-making.
Process Optimization: Streamlines data processes for operational efficiency.
Self-Service Model: Empowers teams to manage data independently without IT intervention.

Industries utilize Apache Superset to create and integrate dashboards for data analysis and visualization. It is widely used in genomics to analyze data, monitor service performance in telecom, and manage metrics and KPIs. Companies leverage its capabilities for profitability insights, agent productivity assessments, and historical data trend analysis.

Apache

Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.

Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.

What are the most valuable features?

Interactive Visualizations: Enables users to create engaging reports.
Drag-and-Drop Functionality: Simplifies data analysis processes.
Data Integration: Offers seamless connectivity with multiple sources.
Real-Time Collaboration: Supports synchronous data sharing.
Advanced Analytics: Provides predictive analytics and geospatial analysis.

What benefits and ROI should users look for?

Informed Decision-Making: Facilitates data-driven insights.
Efficiency in Reporting: Streamlines dashboard and reporting tasks.
Cost-Effectiveness: Despite high licensing, value in robust analytics tools.
Customizable Options: Tailors analytics to specific needs.

Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.

Salesforce

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.

Buyer's Guide

Apache Superset vs. Tableau Enterprise

September 2025

Free Report: Apache Superset vs. Tableau Enterprise

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