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Data Studio

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Superset

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Data Studio vs Superset: What are the differences?

Introduction In this article, we will explore and compare the key differences between Data Studio and Superset, two popular data visualization and analysis tools.

  1. User Interface and Ease of Use: Data Studio has a user-friendly and intuitive interface that allows users to create and customize reports and dashboards without the need for coding. On the other hand, Superset provides a more technical interface that requires some knowledge of SQL and coding to create visualizations and perform analysis.

  2. Data Source Connectivity: Data Studio offers a wide range of connectors to various data sources, including Google Sheets, Google Analytics, and BigQuery, making it easy to connect and visualize data from different platforms. Superset also provides connectivity to different databases and data sources, but the setup and configuration process may require more technical expertise.

  3. Customization and Flexibility: Data Studio provides a limited number of chart types and customization options compared to Superset. While Data Studio offers basic customization features like changing colors and fonts, Superset allows users to create custom charts and visualizations using Python and JavaScript.

  4. Collaboration and Sharing: Data Studio allows users to collaborate and share reports and dashboards with others by granting access permissions and generating shareable links. Superset also supports collaboration and sharing, but it offers more advanced features like creating and managing user groups and roles, allowing for more granular control over access and permissions.

  5. Advanced Analysis Capabilities: Superset offers more advanced data exploration and analysis capabilities compared to Data Studio. With Superset, users can write and execute complex SQL queries, create interactive filters and drill-downs, and perform ad-hoc analysis on the fly. Data Studio, on the other hand, focuses more on data visualization and reporting rather than advanced analysis.

  6. Community and Support: Data Studio has a larger user community and is supported by Google, offering extensive documentation, tutorials, and forums for users to seek help and share knowledge. Superset, being an open-source project, also has an active community, but the level of support may depend on the community's engagement and contributions.

In summary, Data Studio offers a user-friendly interface and seamless integration with Google services, while Superset provides more customization options, advanced analysis capabilities, and flexibility at the cost of requiring more technical knowledge.

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Pros of Data Studio
Pros of Superset
    Be the first to leave a pro
    • 13
      Awesome interactive filtering
    • 9
      Free
    • 6
      Wide SQL database support
    • 6
      Shareable & editable dashboards
    • 5
      Great for data collaborating on data exploration
    • 3
      User & Role Management
    • 3
      Easy to share charts & dasboards

    Sign up to add or upvote prosMake informed product decisions

    Cons of Data Studio
    Cons of Superset
      Be the first to leave a con
      • 4
        Link diff db together "Data Modeling "
      • 3
        It is difficult to install on the server
      • 3
        Ugly GUI

      Sign up to add or upvote consMake informed product decisions

      What is Data Studio?

      Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free.

      What is Superset?

      Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

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      What are some alternatives to Data Studio and Superset?
      Metabase
      It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
      Amazon Quicksight
      Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.
      Klipfolio
      You can pull your data together using out-of-the-box, hassle-free connectors for hundreds of data sources, including spreadsheets, files, databases, and web services applications.
      Google Analytics
      Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
      AzureDataStudio
      It is a cross-platform database tool for data professionals using the Microsoft family of on-premises and cloud data platforms on Windows, MacOS, and Linux.
      See all alternatives