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 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."
"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."
"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."
"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."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"It’s good for quick visualization and being able to quickly consume unstructured data to play around with."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."
"The solution allows for the possibility for end-users to do their own reporting."
"The most valuable part of the solution is the general dashboard features."
"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."
"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."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"With performance tuning, it generates a pretty complex query when it is not required."
"The solution could use more features in data analytics."
"Could have more integrations with different platforms."
"Many things have to be improved in Tableau. Right now, we make the calculation, and then we get that information. It would be better if business users could do that. I would ask the people at Tableau to provide that option to business users to get that information in one click. It would be better if they automated some calculations. There should be more automation in Tableau. However, there are many things in automation mode, but it is very limited at the moment. We need automation for people who do not know much about Tableau. It would also be better if there were good community support like in Alteryx."
"The integration with other program languages, like Python, needs to be better."
"Tableau's automatic insight could be improved. It has some predefined capabilities to understand the data, but I think they need more. Customers need more insight automatically from data—they don't want to discover them, they want to get the forecast automatically. The data preparation should also be improved because it's not easy. Tableau tries to focus on the business side, but the backend side has not improved much. They also have an ETS solution, but it's limited."
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization."
Apache Superset is ranked 11th in Data Visualization with 4 reviews while Tableau is ranked 1st in Data Visualization with 293 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, Domo, Amazon QuickSight, SAS Visual Analytics and IBM Cognos. See our Apache Superset vs. Tableau report.
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