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Superset vs Tableau: What are the differences?
Comparison between Superset and Tableau
Superset and Tableau are both powerful data visualization tools, but they have some key differences. Here are six specific differences between the two:
User Interface: Superset offers a web-based user interface that is highly customizable and allows for interactive exploration of data. Tableau, on the other hand, provides a more user-friendly drag-and-drop interface that is suitable for users with less technical expertise.
Data Sources: While Tableau supports a wide range of data sources, including databases, spreadsheets, and cloud services, Superset has native support for SQL databases only. This means that Superset may be more suitable for organizations that primarily work with SQL databases.
Integration: Tableau offers seamless integration with various data management and analytics platforms, such as Salesforce and Hadoop, allowing users to easily import and analyze data from these sources. Superset, on the other hand, lacks such extensive integration capabilities, making it less suitable for organizations with diverse data sources.
Pricing Model: Tableau follows a subscription-based pricing model, which can be costly for organizations that require multiple licenses. In contrast, Superset is an open-source tool, meaning that it is free to use and can be customized as per the organization's needs.
Community Support: Tableau has a large and active user community, with extensive documentation, forums, and knowledge-sharing platforms, making it easier for users to find support and solutions to their problems. Superset, being a relatively newer tool, has a smaller community, which may limit the availability of resources for users seeking assistance.
Advanced Analytics: Tableau offers a wide range of advanced analytics features, including predictive modeling, statistical analysis, and data blending, enabling users to gain deeper insights from their data. Superset, on the other hand, focuses mainly on data visualization and lacks some of the advanced analytics capabilities offered by Tableau.
In summary, Superset and Tableau differ in terms of user interface, supported data sources, integration capabilities, pricing model, community support, and advanced analytics features. Choosing the right tool depends on the specific needs and requirements of the organization.
Very easy-to-use UI. Good way to make data available inside the company for analysis.
Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.
Can be embedded into product to provide reporting functions.
Support team are helpful.
The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.
Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.
And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.
Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.
Pros of Superset
- Awesome interactive filtering13
- Free9
- Wide SQL database support6
- Shareable & editable dashboards6
- Great for data collaborating on data exploration5
- User & Role Management3
- Easy to share charts & dasboards3
Pros of Tableau
- Capable of visualising billions of rows6
- Intuitive and easy to learn1
- Responsive1
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Cons of Superset
- Link diff db together "Data Modeling "4
- It is difficult to install on the server3
- Ugly GUI3
Cons of Tableau
- Very expensive for small companies2
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What is Superset?
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