Overview
Self-hosted business intelligence for SQL exploration, charts, and dashboards.
Apache Superset is a self-hosted business-intelligence and data-exploration platform for teams that want to connect SQL databases, build charts, and publish interactive dashboards on infrastructure they control.
Why people choose Superset
The real search intent is open-source BI and a self-hosted alternative to hosted dashboard products. Superset combines a no-code chart builder with SQL Lab, datasets, dashboards, and a broad database connector model without requiring a separate ingestion layer for every use case.
What is included
Official pages highlight dashboards, chart building, SQL Lab, physical and virtual datasets, 40-plus visualization types, database connectivity, semantic metrics, security controls, and extensibility through plugins and APIs.
Requirements and tradeoffs
The official installation guidance treats Docker Compose as a fast way to try Superset or run development environments and warns that the Compose setup is not recommended for high-availability production. Production operators need a supported deployment architecture, metadata database, cache or worker planning, secrets, database drivers, backups, and authentication hardening.
Best fit
Choose Superset when analysts need self-hosted dashboards and SQL exploration across existing databases. A smaller dashboard tool may be easier for one source, while a managed BI service is simpler when you do not want to operate the platform.
Interface previews
Screenshots of the Superset interface.
Feature support
| Feature | Support |
|---|---|
| Interactive dashboardsDashboards are a core Superset workflow documented by the official project. | Supported |
| No-code chart builderSuperset provides a visual builder for charts and tables. | Supported |
| SQL LabSQL Lab supports query writing, metadata browsing, and exploration workflows. | Supported |
| Physical and virtual datasetsOfficial pages describe datasets for reusable chart and metric definitions. | Supported |
| 40-plus visualization typesThe project homepage states that Superset ships with more than 40 visualization types. | Supported |
| SQL database connectivitySuperset connects to SQL-based databases through supported drivers and configuration. | Supported |
| Access control and authenticationAdministrator documentation covers security, authentication, and role-based access. | Supported |
| Docker Compose production HAOfficial installation guidance says the Compose constructs are not supported or recommended for high-availability production use. | Not supported |
Community signals
- Stars
- 75.1k
- Forks
- 18.5k
- Open issues
- 557
- Last commit
- 16h ago
- Latest release
- 6.1.0
- Repo created
- Jul 2015
Includes open pull requests
5mo ago
Refreshed nightly from the GitHub API.
Questions
What is Apache Superset used for?
Superset is used for SQL exploration, charts, datasets, dashboards, and self-service business intelligence.
Is Superset a self-hosted Tableau or Power BI alternative?
Superset can cover many self-hosted dashboard and data-exploration use cases, but compare connectors, governance, modeling, support, and enterprise requirements with commercial BI platforms.
Can Superset connect to PostgreSQL and other databases?
Yes. Superset is designed to connect to SQL-based databases through supported database drivers and configuration.
Does Superset support SQL Lab?
Yes. SQL Lab provides a SQL editor and tools for querying databases, browsing metadata, and preparing analysis.
Can Apache Superset run with Docker Compose?
Yes for trying Superset and for development-style environments. The official docs caution that the Compose setup is not recommended for high-availability production deployments.
Does Superset need a database?
Yes. Superset needs a metadata database and separate access to the data sources it visualizes; production deployments also need careful cache, worker, secret, and backup planning.
Is Apache Superset free and open source?
Yes. Apache Superset is an open-source Apache project, although operating infrastructure, database services, and support can still have costs.
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