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.
"It is a good visual solution tool in an open-source category."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"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."
"I like Tableau's heat maps and the storyboard. You can create data stories and tons of visuals with it, and it goes together really well. Tableau lets you manipulate the data in various ways."
"It is a very stable product. It doesn't break."
"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 product’s performance is better than other tools."
"It is very easy to create dashboards, charts, and graphs."
"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."
"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."
"Tableau is easy to use and it has great predictive features."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"The platform's reporting feature needs enhancement."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"When I've done presentations in the past, I've had issues with uploading the cartography."
"The product's features for cloud integration need improvement."
"In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI."
"They need to improve the bar chart position and width."
"There are not enough language options. It needs to be offered in more than just English."
"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."
"When there are millions of records, scaling up is quite difficult."
"I don't have the ability in Tableau to create a tooltip and see the picture of a piece of jewelry or watch that is a best seller."
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.
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