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 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."
"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."
"The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."
"It is very easy to create dashboards, charts, and graphs."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"The action feature which Tableau has is very useful for us. If we click on one visualization, it will pass the value to another visualization. That interactivity within different visualizations is the most valuable feature of Tableau."
"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."
"Very user friendly."
"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."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"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."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."
"The charts in Tableau are quite limited."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"It is not so great when it comes to data exchange/integration, data mining, etc."
"The performance could be better."
"More integration with Python or something related to machine learning would be a good improvement."
"It's not an aesthetic platform at the moment."
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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