Lightdash vs Looker
Which no-code tool is better for your project? Compare features, pricing, and more.
Quick Verdict
Lightdash is best for dbt-powered business intelligence. Looker is best for enterprise-wide metrics governance. Not sure? Let our AI recommend the right one.
| Feature | Lightdash | Looker |
|---|---|---|
| Pricing | Contact | Contact |
| Pricing Model | freemium | enterprise |
| Rating | 4.4/5 | 4.3/5 |
| AI Features | ✗ No | ✓ Yes |
| Founded | 2021 | 2012 |
| Company Size | 20-50 | 1000+ |
| Key Features |
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| Integrations | dbt, Snowflake, BigQuery, PostgreSQL | BigQuery, Snowflake, Redshift, PostgreSQL |
Lightdash — Pros & Cons
Best BI tool for dbt-centric teams
Open-source with self-hosting option
Single source of truth — metrics in dbt
Growing community and active development
Requires dbt — not standalone
Fewer chart types than Tableau/Metabase
Smaller community and ecosystem
Looker — Pros & Cons
Best-in-class semantic layer ensures consistent metrics
Deep Google Cloud and BigQuery integration
Git-based governance is excellent for data teams
Strong embedded analytics capabilities
Enterprise pricing — expensive for small teams
LookML has a significant learning curve
Google Cloud ecosystem dependency
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