Apache Superset vs Tableau comparison

Apache and Salesforce are both solutions in the Data Visualization category. Apache is ranked #5 with an average rating of 8.3, while Salesforce is ranked #1 with an average rating of 8.5. Apache holds a 11.1% mindshare in DV, compared to Salesforce’s 25.9% 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 5 Apache Superset reviews

4,273 Views
2,537 Comparison Views

100% willing to recommend

Tableau

Read 296 Tableau reviews

8,299 Views
7,123 Comparison Views

89% willing to recommend

Apache Superset

Tableau

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Executive SummaryUpdated on Jan 12, 2025

Tableau and Apache Superset are prominent contenders in the data visualization and business intelligence category. Tableau has a slight advantage due to feature-rich capabilities and strong integration, while Apache Superset stands out for its cost-effectiveness as an open-source option.

Features: Tableau offers dynamic data visualization and an intuitive interface, making it easy for users to create dashboards without extensive technical knowledge. Its integration with Salesforce is seamless, and it supports predictive analytics and real-time data processing. Apache Superset is praised for its self-service analytics where users can define KPIs and configure dashboards with minimal coding. It is open-source, allowing flexibility and community-driven enhancements.

Room for Improvement: Tableau could enhance its integrations with data lakes and offer more customization options within its interface. Users also hope for expanded visualization options and better data preparation tools. Apache Superset users wish for improved interactivity in dashboards, advanced filtering capabilities, and enhanced documentation to simplify setup and configuration processes.

Ease of Deployment and Customer Service: Tableau supports deployment across on-premises, cloud, and hybrid environments with extensive technical support and a vibrant global community. Apache Superset primarily operates in cloud settings, benefits from being open-source, yet could improve its documentation and support to alleviate deployment challenges.

Pricing and ROI: Tableau's pricing is on the higher side, especially when compared to Power BI, but its robust features justify the investment, promising rapid ROI. Apache Superset, being open-source, provides a cost-effective alternative for those seeking budget-friendly solutions without proprietary licensing fees.

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

Buyer's Guide

Apache Superset vs. Tableau

March 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

5th

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Tableau

Ranking in Data Visualization

1st

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

296

Ranking in other categories

BI (Business Intelligence) Tools (2nd), Reporting (2nd), Embedded BI (1st)

Mindshare comparison

As of April 2025, in the Data Visualization category, the mindshare of Apache Superset is 11.1%, up from 10.0% compared to the previous year. The mindshare of Tableau is 25.9%, down from 31.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

Muhammed Shafad

Senior Data Analyst at 6d Technologies

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.

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ROMIL SHAH

Deputy General Manger - Information Technology at Nayara Energy

Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time

When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers. Tableau has recently launched a paid version for the documentation. So, documentation has become a little bit challenging when it comes to Tableau development because we do not have any tool to export the data out of it. It is a license-based feature that you need to purchase to prepare documentation. So, on the documentation front, for preparing clear documentation for any dashboard, it would help if we get an embedded option, rather than buying a license for each user for the documentation. To document anything, if I have to connect to each workbook and see what has been written as a formula and then document in the Word document, it is pretty time-consuming. We have the Microsoft stack, and we are currently evaluating Power BI because Tableau has a limitation of 50 columns for a drill-down report. If we want more than 50 columns, we have found a hack, but there is no ready-made option for doing it. So, we have to use another tool in case we need a drilled report with more than 50 columns. There are many instances where users need 80 or 90 columns for their analysis, and switching between two technologies becomes a challenge. It is not a cost-effective approach for us. Their support should be improved. We are not happy with their support. Whenever we raised queries, we were pointed to a few blogs, and we didn't get a proper solution from them. Their licensing should also be improved. They want us to purchase a Tableau Creator license for business users, whereas Power BI Desktop is free for business users. They should come up with a basic license with one or two connectors that our business users can use for preparing their visualizations. Tableau also charges us per user for users who want the data only through email.

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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."

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

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

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

"Tableau is easy to use. That's the first and most important thing. I not only provide consulting but I also train people to use it, so with its ease-of-use it's not as difficult for me to train executives and management staff, because they don't have the IT background, unlike when I'm using Python."

"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."

"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."

"I believe one of the most valuable features of the solution is trend analysis."

"The most valuable feature is the aggregation function."

"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."

"The solution makes for very productive and really informative decision making. It can lead the whole business and build a strategy across whole working departments."

"The best thing I like about Tableau is that you don't have to go for creating; it is calculated free."

More Tableau pros

Cons

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

"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."

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

"The platform's reporting feature needs enhancement."

"I have noticed that Tableau is not very compatible with ClickHouse. There's no direct connection to ClickHouse; you have to set up an ODBC connection."

"There should be more widgets that would help less trained individuals create charts with less difficulty."

"When it comes to large datasets, the data should be extracted faster."

"The pricing is a bit higher than the competition. They'll need to lower it to stay competitive."

"Bursting email is needed to deliver the reports to many people in their inboxes and this functionality is not provided by Tableau."

"There should be more GIS features, such as location analysis, which is quite limited. There are very few location-based functionalities."

"There's no mature ETL tool in Tableau, which is quite a negative for them."

"It should offer better features for customization."

More Tableau cons

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."

"Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."

"The company chose to purchase a creator license for me, which was $70. With that license, you can also be an administrator. We also have 20-25 extra licenses and they cost around $20-$35 each. Those are for normal users who will be viewing the dashboards. Those are monthly charges."

"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."

"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 believe it has a lifelong license, and once you purchase it, you don't have to renew it, but I'm not sure."

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

"It is a bit overpriced."

"Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."

More Tableau 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

20%

Computer Software Company

14%

Manufacturing Company

Government

Educational Organization

44%

Financial Services Firm

10%

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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?

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.

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 ...

See all answers

Comparisons

Qlik Sense vs Apache Superset

Compared 22% of the time

Splunk Enterprise Platform vs Apache Superset

Compared 8% of the time

Sisense vs Apache Superset

Compared 7% of the time

Sigma vs Apache Superset

Compared 7% of the time

SAP BusinessObjects Dashboards vs Apache Superset

Compared 5% of the time

More Apache Superset Competitors

Microsoft Power BI vs Tableau

Compared 19% of the time

Domo vs Tableau

Compared 13% of the time

Amazon QuickSight vs Tableau

Compared 7% of the time

Databricks vs Tableau

Compared 6% of the time

Oracle Hyperion vs Tableau

Compared 2% of the time

More Tableau Competitors

Product Reports

Buyer's Guide

Apache Superset

March 2025

Download Apache Superset product report

Buyer's Guide

Tableau

March 2025

Download Tableau 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 is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.

Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

Tableau has many valuable key features:

Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards.
Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions.
Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data.
Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries.
Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”

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

March 2025

Free Report: Apache Superset vs. Tableau

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