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Redash

346
495
+ 1
12
Superset

393
990
+ 1
45
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Redash vs Superset: What are the differences?

Key Differences between Redash and Superset

Redash and Superset are both popular open-source data visualization tools that provide the capabilities to create and share interactive dashboards and reports. Although they have similar goals, they have significant differences in terms of features and functionalities. The key differences between Redash and Superset can be summarized as follows:

  1. Data Source Support: Redash supports a wide range of data sources, including popular SQL databases, NoSQL databases, and APIs, making it suitable for diverse data environments. On the other hand, Superset primarily focuses on SQL-based databases and may require additional configurations for other data sources.

  2. Ease of Use: Redash is known for its intuitive user interface and ease of use. It provides a simple and user-friendly environment for data exploration, report creation, and dashboard building. Superset, while also providing a user-friendly interface, may require more technical expertise to fully utilize its advanced features and functionalities.

  3. Visualization Options: Superset offers a rich set of visualization options, including charts, graphs, maps, and more. It provides a comprehensive library of visualizations to choose from and offers extensive customization options. Redash, while also providing standard visualizations, may have a relatively smaller set of visualization options compared to Superset.

  4. Collaboration and Sharing: Redash provides robust collaboration and sharing features, allowing users to collaborate on data analysis and share dashboards, queries, and reports with others. It allows for easy collaboration and sharing within teams and across organizations. Superset also offers collaboration and sharing capabilities, but it may require additional configurations and setups for efficient collaboration.

  5. Security and Access Control: Superset offers advanced security features and access control mechanisms. It provides role-based access control, allowing administrators to define granular access levels for different users and groups. Redash also provides access control features but may have a relatively simpler security model compared to Superset.

  6. Architecture and Scalability: Redash follows a microservice architecture that supports horizontal scalability. It offers better scalability options, allowing for higher performance and handling larger datasets. Superset follows a monolithic architecture, which may limit its scalability compared to Redash.

In summary, Redash and Superset differ in terms of data source support, ease of use, visualization options, collaboration and sharing capabilities, security and access control, and architecture and scalability. Each tool has its strengths and focuses, and the choice between them depends on specific requirements and preferences.

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Pros of Redash
Pros of Superset
  • 9
    Open Source
  • 3
    SQL Friendly
  • 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

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Cons of Redash
Cons of Superset
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
  • 4
    Link diff db together "Data Modeling "
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI

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What is Redash?

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

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 Redash and Superset?
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Periscope
Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.
Looker
We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
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.
Mode
Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.
See all alternatives