Open-source BI platform you can self-host with SQL-first dashboards
Apache Superset is an open-source business intelligence platform that began at Airbnb and now runs under the Apache Software Foundation. It offers a no-code chart builder, a full SQL Lab editor with result export, a semantic layer for reusable metrics, and dashboards that can be shared, embedded or scheduled as email reports. It connects to most SQL-speaking databases through SQLAlchemy. Deploying it yourself or through a managed provider keeps costs and data residency under your control. It is conventional BI rather than an AI product - there are no language-model features in the core project.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
self-hosted bi, sql analysis, internal dashboards and data residency requirements
If you're comparing similar products, check the alternatives below, or browse all tools in the AI Data Analysis category.
Production setups usually run the web server, a Celery worker, a metadata database and a cache such as Redis behind a reverse proxy. Docker Compose is fine for a small team; larger installations typically use Kubernetes with an external metadata database.
No. The project focuses on conventional charting, SQL exploration and dashboard delivery. Any prompt-to-chart experience would come from a separate layer or a managed fork rather than from Superset itself.
Both are open-source BI tools with free editions. Superset leans towards SQL-first analysts and larger chart libraries; Metabase leans towards non-technical users and faster setup. Try both on the same dataset before committing.
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