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Looker vs Metabase
Looker is a governed, LookML-modeled platform sold only through Google Cloud sales; Metabase is open source, self-hostable, and built for fast self-service.
Side by side
| Looker | Metabase | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Vendor | Google LLC (Google Cloud) | Metabase, Inc. | ||||||||
| Pricing model | Quote only | Open source + paid options | ||||||||
| Free tier | No | Yes | ||||||||
| Deployment | Cloud | Cloud, Self-hosted | ||||||||
| Open source | No | Yes (AGPL-3.0) | ||||||||
| Best for | Enterprises wanting a governed, centrally modeled semantic layer for BI and embedded analytics. | Data teams wanting a self-hosted or cloud, open-source BI tool with self-service dashboards. | ||||||||
| Pricing | Looker pricing has platform and per-user components; every edition and user license requires contacting Google Cloud sales for a quote. Checked on the vendor's own page on September 19, 2026: no prices are published. Expect to be quoted. | The Open Source edition is free and self-hosted with unlimited users; Starter, Pro, and Enterprise are paid Cloud or self-hosted plans.
Prices read from the vendor's own page on September 19, 2026. Vendors change prices; check the source before you budget. | ||||||||
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Verdict
Looker and Metabase sit at opposite ends of the same category. Looker is Google Cloud's governed BI platform: analysts model business logic once in LookML, and that single semantic layer powers dashboards, exploration, scheduled reports, and embedded analytics everywhere it's used — plus Gemini-powered Conversational Analytics for natural-language questions grounded in that governed model. It is cloud-only, quote-priced with platform and per-user components, and every edition requires talking to Google Cloud sales.
Metabase is open source, can be fully self-hosted for free with unlimited users, and is built around getting a non-technical person to a self-service answer fast through a no-code visual query builder, with a SQL editor available for more complex work and its own AI assistant (Metabot) for natural-language questions and SQL generation. Paid Starter, Pro, and Enterprise tiers add embedding, row/column permissions, SSO, and white-labeling on top of the same open-source core.
Choose Looker if
- You want one governed semantic model (LookML) that centrally defines metrics for BI, embedded analytics, and AI querying alike.
- You're already on Google Cloud and BigQuery, or need broad enterprise dialect and embedding support.
- You have the budget and the modeling discipline to build and maintain LookML properly — a governed layer with nobody maintaining it is a blank screen.
Choose Metabase if
- You want a free, self-hosted option with no per-seat cost and unlimited users on the open-source edition.
- Fast, broad self-service — anyone in the company answering a simple question without filing a ticket — matters more than centrally governed modeling.
- You want embedded analytics (an SDK) available from the same product without adopting a separate enterprise platform.
The honest caveat
This is not a like-for-like comparison of two governed BI platforms — it's a choice between an enterprise, LookML-modeled platform sold via sales quote and an open-source tool anyone can install today for free. If your organization genuinely needs one enforced definition of every metric across dozens of teams, Looker's discipline is worth its cost and complexity. If a small data team wants broad self-service without months of semantic modeling first, Metabase gets there faster and cheaper — though "faster" self-service without underlying data modeling just moves the confusion downstream. See semantic layer and self-service BI.
Last reviewed September 22, 2026