Apache Superset vs Tableau comparison

Cancel
You must select at least 2 products to compare!
Apache Logo
3,368 views|1,887 comparisons
100% willing to recommend
Tableau Logo
12,285 views|10,657 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Mar 6, 2024

We compared Tableau and Apache Superset based on our user's reviews in several parameters.

Tableau and Apache Superset are both praised for their user-friendly interfaces, powerful data visualization capabilities, and ability to handle large datasets efficiently. However, Tableau stands out for its seamless integration with various data sources, interactive dashboards, collaborative work options, and praised customer service and support. On the other hand, Apache Superset users appreciate its extensive visualization options, performance with large datasets, and excellent customer service, though they note the need for improvements in data visualization options, documentation, interface, performance, security, configuration process, and integration with other tools.

Features: Tableau is lauded for its intuitive and user-friendly interface, seamless integration with data sources, and collaborative work options. On the other hand, Apache Superset is praised for its extensive visualization options and exceptional performance when handling large datasets effectively.

Pricing and ROI: The setup cost of Tableau has been positively rated by users, with an affordable pricing structure and easy setup process. The licensing options are flexible and well-suited to users' needs. On the other hand, Apache Superset's pricing is considered reasonable, with minimal setup cost and straightforward licensing, although specific feedback is lacking., According to user feedback, Tableau's ROI is positive due to its intuitive and user-friendly platform, efficient handling of large datasets, and ease of integration with other tools. Apache Superset also provides value and ROI, as reported by users.

Room for Improvement: Tableau users have suggested enhancements in areas that require attention and upgrades. Apache Superset users, on the other hand, have mentioned the need for improvements in data visualization options, documentation, interface, performance, security features, configuration process, and integration.

Deployment and customer support: The reviews for Tableau indicate mixed feedback on the time required for deployment and setup, with some users taking three months and an additional week, while others only needed a week for both. In contrast, Apache Superset also had varying durations, with some users taking three months and an extra week, while others took just a week for both, suggesting that these terms may refer to the same period., Tableau's customer service and support have been praised for their assistance, guidance, and availability of online resources. Apache Superset's customer service has been commended for their prompt and helpful assistance, knowledgeable representatives, and responsiveness to users' needs.

The summary above is based on 25 interviews we conducted recently with Tableau and Apache Superset users. To access the review's full transcripts, download our report.

To learn more, read our detailed Apache Superset vs. Tableau Report (Updated: March 2024).
768,924 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution supports a rich set of charts and enables users to create their own dashboards.""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."

More Apache Superset Pros →

"Analysis is now more visual than in the past.""It is a very stable product. It doesn't break.""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.""Tableau is easy to use.""The product offers an intuitive user interface, detailed screens and widgets, and the absence of data limitations""Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on.""The UI part is the best. The end-users can easily get started with Tableau Desktop or Tableau Online because of its user-friendliness.""You are able to see and follow trends."

More Tableau Pros →

Cons
"The platform's reporting feature needs enhancement.""Automation in terms of APIs for creating roles, and giving privileges to the user can be improved.""Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."

More Apache Superset Cons →

"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified.""Whenever it comes to specialized visualization, Tableau is an absolute failure.""It's not an aesthetic platform at the moment.""In the cloud sometimes the performance is a little bit slow.""Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python.""Tableau is difficult to scale because of the cost, which makes it difficult to scale.""Its documentation can be improved so that a user can get a good hands-on experience. Tableau is well documented, and on their website, there are a lot of tutorials that are available for free. I started my learning process through those tutorials, but there are certain loopholes in those tutorials, which only got filled through a couple of good YouTube channels that talk about Tableau. YouTube helped me a lot. So, the documentation could be better, I understand that it is evolving day by day, and with more usage, there would be more such documentation.""There's no mature ETL tool in Tableau, which is quite a negative for them."

More Tableau Cons →

Pricing and Cost Advice
  • "The price of Apache Superset is less than some of its competitors."
  • "Apache Superset has a three-year licensing model."
  • More Apache Superset Pricing and Cost Advice →

  • "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."
  • "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."
  • "Paying for users you never setup or buying expensive desktop licenses for users who can solve their users with web editing on the server are the two biggest expenses."
  • "Buy 50 at a time. Project your use base every three months, and project your requirements forward."
  • "Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"
  • "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."
  • "The cost is high."
  • "Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
  • More Tableau Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Visualization solutions are best for your needs.
    768,924 professionals have used our research since 2012.
    Comparison Review
    Anonymous User
    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 use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel. Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short amount time. Tableau's annotations capabilities and its time and geographical intelligence are key differentiators. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities. If your application can take advantage of the above… Read more →
    Questions from the Community
    Top Answer:It is a good visual solution tool in an open-source category.
    Top Answer:Apache Superset has a three-year licensing model. A free version is available from Microsoft. There is a chargeable version for the cloud as well.
    Top Answer:The product needs improvement in terms of DECT filters. At present, we have only a range or time stamp filter. They could provide more options. The platform's reporting feature needs enhancement… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Ranking
    11th
    out of 70 in Data Visualization
    Views
    3,368
    Comparisons
    1,887
    Reviews
    3
    Average Words per Review
    611
    Rating
    8.0
    1st
    out of 70 in Data Visualization
    Views
    12,285
    Comparisons
    10,657
    Reviews
    14
    Average Words per Review
    534
    Rating
    8.5
    Comparisons
    Also Known As
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Apache
    Video Not Available
    Overview

    Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts.

    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.

    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.
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company15%
    Government8%
    Manufacturing Company8%
    REVIEWERS
    Financial Services Firm13%
    Computer Software Company12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise14%
    Large Enterprise61%
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise47%
    Buyer's Guide
    Apache Superset vs. Tableau
    March 2024
    Find out what your peers are saying about Apache Superset vs. Tableau and other solutions. Updated: March 2024.
    768,924 professionals have used our research since 2012.

    Apache Superset is ranked 11th in Data Visualization with 3 reviews while Tableau is ranked 1st in Data Visualization with 291 reviews. Apache Superset is rated 8.0, while Tableau is rated 8.4. The top reviewer of Apache Superset writes "Has some great features and supports a rich set of charts". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Apache Superset is most compared with Qlik Sense, Splunk Enterprise Platform, Sisense, Sigma and Zoho Analytics, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Oracle Hyperion. See our Apache Superset vs. Tableau report.

    See our list of best Data Visualization vendors.

    We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.