Evidence vs Looker
Which no-code tool is better for your project? Compare features, pricing, and more.
Quick Verdict
Evidence is best for code-driven business reports. Looker is best for enterprise-wide metrics governance. Not sure? Let our AI recommend the right one.
| Feature | Evidence | Looker |
|---|---|---|
| Pricing | Contact | Contact |
| Pricing Model | freemium | enterprise |
| Rating | 4.3/5 | 4.3/5 |
| AI Features | ✗ No | ✓ Yes |
| Founded | 2022 | 2012 |
| Company Size | 10-20 | 1000+ |
| Key Features |
|
|
| Integrations | PostgreSQL, BigQuery, Snowflake, DuckDB | BigQuery, Snowflake, Redshift, PostgreSQL |
Evidence — Pros & Cons
Reports as code — Git-friendly and reviewable
Beautiful default styling out of the box
No database to maintain — static output
Open-source with active development
Requires SQL and Markdown knowledge
No point-and-click dashboard builder
Smaller community than Metabase or Superset
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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