Metabase

Open-source BI tool non-technical teams can set up in an afternoon

AI Data AnalysisFree planOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is Metabase?

Metabase is an open-source business intelligence tool designed so that people without SQL can still answer their own questions. You connect a database, and it reads the schema and suggests questions through a point-and-click query builder alongside a native SQL editor for anyone who wants it. Dashboards, filters, subscriptions and alerts are included, and the whole thing can be self-hosted or run as a managed cloud service. Recent versions add an AI assistant that can help write queries and explain results, but the product's centre of gravity is accessibility: getting a first useful dashboard live quickly rather than modelling an enterprise semantic layer.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Point-and-click query builder plus a native SQL editor
  • Automatic schema sync with suggested questions and metrics
  • Dashboards with filters, tabs, subscriptions and alerting
  • Self-hosted open-source edition or a managed cloud service
  • Embedding options for sharing dashboards inside other products
  • AI assistant that drafts queries and explains results in plain language

Pros & cons

Strengths

  • Fastest path from a database to a shareable dashboard for most teams
  • Non-technical colleagues can explore data without writing SQL
  • The open-source edition is free and can run on modest hardware

Watch out for

  • Semantic modelling is lighter than Looker or Power BI equivalents
  • Advanced visualisations need custom code or workarounds
  • Self-hosted upgrades and backups are your responsibility

Best for & use cases

team dashboards, self-service analytics, startup bi and embedded reporting

If you're comparing similar products, check the alternatives below, or browse all tools in the AI Data Analysis category.

FAQ

How hard is the self-hosted setup?

A small team can run it with the provided JAR file or a Docker image and a metadata database in under an hour. Production use adds a reverse proxy, backups and a schedule for upgrades, which is normal for any self-hosted service.

What are the limits of the free edition?

The open-source edition covers core querying, dashboards, alerts and embedding. Advanced permissions and some enterprise features such as certain sandboxing and audit options are reserved for paid tiers.

How does the AI assistant fit in?

It can draft queries and summarise results from a question, which helps people who are unsure how to start. It still relies on a well-described schema, so adding column descriptions and friendly names pays off.