Metabase vs Looker: which should you choose?
Quick answer: Metabase is built for startups, while Looker suits data-teams. For most users Looker is the stronger default, but Metabase can be the better fit depending on your budget and use case. Metabase has the lower entry price.
If you're weighing Metabase against Looker, the right answer depends on your priorities. Below we compare them on pricing, strengths and the use cases each one fits, then give a clear verdict.
Side-by-side
| Metabase | Looker | |
|---|---|---|
| Category | Bi Platform | Bi Platform |
| What it's known for | Open-source, self-service BI that non-technical users can query without SQL; fast to deploy and a popular free self-hosted option with managed cloud tiers. | Google Cloud's enterprise BI platform built on the LookML semantic modeling layer, giving a single governed source of truth and powerful embedded/data-app capabilities. |
| Pricing | Open-source self-host free; Cloud Starter ~$100/mo +~$6/user (5 incl.); Pro ~$575/mo +~$12/user (10 incl.); Enterprise from ~$20k/yr | Custom quote only (platform fee + per-user); no public list price; enterprise deployments typically tens of thousands to $100k+/yr |
| Best audience | Startups and SMB data teams wanting fast self-service BI, self-hosted or cloud. | Data teams and software vendors wanting governed metrics and embedded analytics on a cloud warehouse. |
| Best for | startups, self-service-bi | data-teams, embedded-analytics |
| Entry price | Free (self-host) | Quote (est. ~$35k-$66k/yr) |
| Biggest strength | Free open-source self-host option. | Strong governed semantic layer (single source of truth). |
| Main caveat | Big feature jump (and price jump) from Starter to Pro for SSO, RLS, white-label. | No public list pricing; quotes are high (tens of thousands to $100k+/yr). |
Features compared
Where they really diverge is in the day-to-day feature set:
Metabase key features
- Self-service question builder usable without SQL
- Native SQL editor with variables and snippets
- Open-source (AGPL) self-host plus managed cloud
- Dashboards with filters, alerts and subscriptions
Looker key features
- LookML semantic modeling layer for a single governed source of truth
- Git-based version control of data models
- Embedded analytics and data-app APIs/SDKs
- In-database architecture (queries the warehouse live, no extracts)
Pricing tiers side by side
Metabase plans
| Plan | Price | What's included |
|---|---|---|
| Open Source | Free (self-host) | Infra + DevOps cost only |
| Starter (Cloud) | $100/mo + $6/user (5 incl.) | 10% off annual |
| Pro | $575/mo + $12/user (10 incl.) | SSO, RLS, white-label, interactive embedding |
| Enterprise | from ~$20k/yr | Median contract ~$39k/yr (Vendr) |
Looker plans
| Plan | Price | What's included |
|---|---|---|
| Standard | Quote (est. ~$35k-$66k/yr) | Platform fee + per-user; smaller deployments |
| Enterprise | Quote (est. ~$132k/yr) | Advanced security/governance |
| Embed | Quote (est. ~$180k-$198k/yr) | Customer-facing embedded analytics |
Tiers compiled from the vendors' published plans and independent reviews; prices are approximate and change often, so confirm current figures (and your region's taxes) on each vendor's site.
Strengths compared
Where Metabase wins
The easiest open-source path to self-service BI for startups and small teams.
- Free open-source self-host option.
- Very fast to deploy and friendly for non-technical users.
That makes it the stronger pick for startups and SMB data teams wanting fast self-service BI, self-hosted or cloud.
Where Looker wins
A governed semantic layer and APIs that make it as much a data platform as a BI tool.
- Strong governed semantic layer (single source of truth).
- Excellent for embedded analytics and data products.
That makes it the stronger pick for data teams and software vendors wanting governed metrics and embedded analytics on a cloud warehouse.
Verdict: choose by fit
There is no single winner; it depends on where you sit.
- Choose Metabase if you fit its core audience — startups and SMB data teams wanting fast self-service BI, self-hosted or cloud.
- Choose Looker if you fit its core audience — data teams and software vendors wanting governed metrics and embedded analytics on a cloud warehouse.
FAQ
Is Metabase better than Looker?
Looker is the stronger default for most users, but Metabase can be the better fit depending on your budget and use case.
What is the main difference between Metabase and Looker?
Metabase is the easiest open-source path to self-service BI for startups and small teams. Looker is a governed semantic layer and APIs that make it as much a data platform as a BI tool.
Which is cheaper, Metabase or Looker?
Entry pricing differs: Metabase starts at Free (self-host), while Looker starts at Quote (est. ~$35k-$66k/yr). Compare the tiers above against your usage.
Sources
Facts above are drawn from these independent reviews and the vendors' own pages for Metabase and Looker: