Business intelligence — dashboards and analytics without SQL.
Metabase is the simplest way to make sense of data with 47k+ GitHub stars — a Tableau alternative for business intelligence without SQL.
Compare Metabase with Apache Superset and Looker before you choose your stack.
| Metabase | Tableau | |
|---|---|---|
| License | AGPL-3.0 (open source) | Proprietary |
| Data residency | Self-hosted option | Vendor cloud |
| Privacy | No third-party tracking by default | Vendor analytics pipeline |
| Customization | SQL and plugin extensibility | Limited to product UI |
| Cost | Free tier + self-hosting | Usage-based SaaS |
Choose Metabase if you want open-source code, self-hosting options, and full control over your data and deployment.
Choose Tableau if you prefer a managed proprietary product with vendor support and minimal setup.
Browse more open-source alternatives to Tableau, or explore other tools in Data & Analytics.
| License | AGPL-3.0 |
| Stack | Clojure, React |
| Self-hosted | Yes |
| Cloud | metabase.com/pro |
| Databases | 20+ (Postgres, MySQL, Mongo) |
docker run -d -p 3000:3000 --name metabase metabase/metabase
Single JAR or Docker — connect to your existing database.
Yes. Metabase is open source under AGPL-3.0. You can self-host it at no software cost — you only pay for infrastructure or optional managed services.
Metabase gives you source code access, self-hosting, and data ownership. Tableau is a proprietary product focused on managed convenience. See the comparison table above for a side-by-side breakdown.
Yes. Metabase supports self-hosted deployment, which is a core reason teams choose it over Tableau. Check the Getting started or Self-hosting section for install commands.
Metabase is actively maintained with a strong open-source community. Many teams run it in production as a Data & Analytics alternative to Tableau. Review the At a glance table for license and stack details.
Browse alternatives to Tableau for more open-source options, including tools compared to Apache Superset. Explore the full Data & Analytics category for related projects.