A modern, enterprise-ready business intelligence web application.
Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset
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Superset provides:
- An intuitive interface for visualizing datasets and crafting interactive dashboards
- A wide array of beautiful visualizations to showcase your data
- Code-free visualization builder to extract and present datasets
- A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
- A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
- Out-of-the-box support for most SQL-speaking databases
- Seamless, in-memory asynchronous caching and queries
- An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.
- Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
- The ability to add custom visualization plugins
- An API for programmatic customization
- A cloud-native architecture designed from the ground up for scale
Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
A more comprehensive list of supported databases along with the configuration instructions can be found here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Extended documentation for Superset
- Ask and answer questions on StackOverflow using the apache-superset tag
- Join our community's Slack and please read our Slack Community Guidelines
- Join our [email protected] Mailing list
Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.
- Superset 1.0
- Superset 101 -- Getting Started Guide (From Preset Blog)
- Documentation for End-Users (by Preset)
- Docker image
- Recordings of Community Events
- May 2020: Virtual Meetup. Topics: 0.36 Overview, Committers Self-Intro, Roadmap
- July 2020: Virtual Meetup. Topics: Visualization Plugins, 0.37 Preview, Demo
- November 2020: Virtual Meetup. Topics: Superset 1.0 & the Roadmap
- November 2020: Live Demo. Topic: Superset Semantic Layer
- December 2020: Live Demo. Topic: Annotations
- Custom Visualizations
- Superset API