Apache Superset vs Looker (Google)
Side-by-side comparison to help you choose the best tool.
Apache Superset
freeOpen-source BI and data exploration platform with rich visualisations, SQL editor, and no-code chart builder used by enterprises at scale. Apache Superset is a highly capable, completely free analytics platform trusted by companies like Airbnb, Twitter, and Lyft in production. It supports 40+ chart types, connects to any SQL-speaking database, and offers a full SQL IDE alongside its no-code chart builder.
Looker (Google)
paidGoogle's enterprise BI platform with AI data exploration, semantic modelling, and Looker AI features for natural language data analysis. Looker uses LookML, a proprietary modelling language that creates a single source of truth for business metrics across the organisation. Its integration with Google Cloud and Vertex AI enables sophisticated machine learning workflows directly within the BI environment.
| Feature | Apache Superset | Looker (Google) |
|---|---|---|
| Pricing | free | paid |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.3 | 4.5 |
| Best For | Engineering teams and enterprises wanting free, scalable open-source BI | Enterprise teams on Google Cloud needing governed, embedded analytics |
| Views | 5 | 6 |
Pros
- Completely free and open-source
- Enterprise-grade scalability
- Active Apache community and ecosystem
Cons
- Requires technical setup and maintenance
- AI features less mature than commercial tools
Pros
- Strong semantic layer for consistent metrics
- Excellent Google Cloud integration
- Powerful embedded analytics options
Cons
- LookML requires developer expertise
- Premium pricing limits smaller teams
- 40+ interactive chart types
- Full SQL IDE with autocomplete
- No-code visual chart builder
- Role-based access control
- Semantic layer for metric definitions
- LookML semantic modelling layer
- Natural language data exploration
- Google Cloud and BigQuery native integration
- Embedded analytics capabilities
- Centralised metric governance