Software · head to head
Looker vs Metabase
The short version
- Only Metabase has a free tier, so it costs nothing to try first.
- Each has a real cost: Looker requires annual commitment with no month-to-month billing option; Metabase row and column level permissions and SSO available only in Pro tier and above
- They diverge on capability: Looker covers LookML Data Modeling, Metabase covers No-code Query Builder.
Where they differ
Only the attributes on which Looker and Metabase actually diverge.
Identical on both: pricing model (Unknown), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Looker
- LookML Data Modeling
- Embedded Analytics
- API Access
- Version Control
- Data Actions
- Salesforce
- Mobile support
- Api support
Only in Metabase
- No-code Query Builder
- SQL Editor
- Interactive Dashboards
- Alerts
- Embedding
- MongoDB
- Self-hosted support
- Cloud support
Both cover
- BigQuery
- Snowflake
- Redshift
- PostgreSQL
- MySQL
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot Metabase
- Embedded analytics for integrating BI capabilities into third-party applicationsnot Metabase
Metabase
- Business intelligence and data exploration for non-technical usersnot Looker
- Embedded analytics for SaaS applicationsnot Looker
- Self-service reporting and dashboard creationnot Looker
- Integration with 40+ data sources including cloud warehousesnot Looker
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Looker
- Requires annual commitment with no month-to-month billing option
- Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026
Metabase
- Row and column level permissions and SSO available only in Pro tier and above
- Advanced analytics features like multi-tenant embedded analytics require Pro tier or higher
- AI-powered features incur additional usage-based costs: $3.75 per 1M tokens
- Self-hosted deployment on Free/Open Source tier requires infrastructure management
Pricing, plan by plan
Looker
On requestNo published plan breakdown. See the Looker review.
Metabase
FreeNo published plan breakdown. See the Metabase review.
Which should you pick?
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want embedded analytics.
Choose Metabase if
- You need no-code query builder.
- You want to start without paying.
- You work on Web, Self-hosted cloud.
- You also want sql editor.
Questions people ask
- Is Looker or Metabase better?
- Neither clearly leads. Looker starts at On request and Metabase at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Looker or Metabase?
- Metabase has a free tier; the other does not. Paid plans start at On request for Looker and Free for Metabase.
- Does Looker or Metabase run on more platforms?
- Looker runs on Web, Cloud (Google Cloud Platform). Metabase runs on Web, Self-hosted cloud.
- Can I use Metabase for free?
- Yes. Metabase has a free tier, so you can try it without paying. Looker starts at On request.
- What is Looker best used for?
- Looker is most often used for business intelligence and interactive dashboards for data-driven decision making, embedded analytics for integrating bi capabilities into third-party applications. Of those, business intelligence and interactive dashboards for data-driven decision making and embedded analytics for integrating bi capabilities into third-party applications are not what Metabase is typically brought in for.
- What can Looker do that Metabase cannot?
- Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. Metabase covers No-code Query Builder, SQL Editor, Interactive Dashboards, Alerts. Both handle BigQuery, Snowflake, Redshift, PostgreSQL.