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.
"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."
"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."
"Easy to create graphs and visualizations."
"The data visualization piece is most valuable. We do ad-hoc analysis or one-time shot things, but there are things that we have to track every single day. When our management and our customers want to see how things are changing, the dashboarding provides that information. Tableau is key in providing that data on a refresh basis. We use a data blending tool that pumps the data into Tableau, and we just schedule it to run every single day. So, the automation of the data and being able to present it to people who are interested are the most valuable features."
"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."
"The product’s performance is better than other tools."
"Tableau is easy to use and it has great predictive features."
"Its dashboarding is the most valuable. It is easy to create visualizations and dashboards and import Excel sheets and ESP files in Tableau as compared to other tools."
"Self-service is most valuable. Users can pick up quickly and do the resolution. There are a lot of out-of-the-box features, and it satisfies most of the needs. If users are properly trained, they can deal with any situation."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"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."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"If I have to develop any, for example, pie charts, I can develop them just fine. However, if I have to develop a donut chart, that I cannot do it in a simple way. There are tricks that I need to use if I have to design a donut chart. It should be more flexible and provide more visualization options."
"Its integration with Microsoft products such as Teams should be improved."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"At the organizational level, increasing the servers' capabilities to support us as an enterprise tool."
"The data processing in Tableau is pathetic compared to Qlik."
"Whenever it comes to specialized visualization, Tableau is an absolute failure."
"If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
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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