Looker vs Redash
Which no-code tool is better for your project? Compare features, pricing, and more.
Quick Verdict
Looker is best for enterprise-wide metrics governance. Redash is best for sql-based analytics dashboards. Not sure? Let our AI recommend the right one.
| Feature | Looker | Redash |
|---|---|---|
| Pricing | Contact | Free |
| Pricing Model | enterprise | free |
| Rating | 4.3/5 | 4.1/5 |
| AI Features | ✓ Yes | ✗ No |
| Founded | 2012 | 2015 |
| Company Size | 1000+ | N/A |
| Key Features |
|
|
| Integrations | BigQuery, Snowflake, Redshift, PostgreSQL | PostgreSQL, MySQL, BigQuery, Redshift |
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
Redash — Pros & Cons
Open-source and self-hostable
Simple, SQL-first approach
Wide data source support
Quick setup for technical teams
No longer actively maintained by original team
Limited visualization options
No visual query builder — SQL required
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