Apache Superset vs Looker
Which no-code tool is better for your project? Compare features, pricing, and more.
Quick Verdict
Apache Superset is best for open-source bi and analytics. Looker is best for enterprise-wide metrics governance. Not sure? Let our AI recommend the right one.
| Feature | Apache Superset | Looker |
|---|---|---|
| Pricing | Free | Contact |
| Pricing Model | free | enterprise |
| Rating | 4.3/5 | 4.3/5 |
| AI Features | ✗ No | ✓ Yes |
| Founded | 2015 | 2012 |
| Company Size | N/A | 1000+ |
| Key Features |
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| Integrations | PostgreSQL, MySQL, BigQuery, Snowflake | BigQuery, Snowflake, Redshift, PostgreSQL |
Apache Superset — Pros & Cons
Completely free and open-source
Handles large datasets efficiently
Wide database connectivity
Active Apache community
Requires technical setup and maintenance
Less polished UX than commercial tools
Documentation can be inconsistent
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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