Domo vs Looker (Google)
Side-by-side comparison to help you choose the best tool.
Domo
paidCloud BI platform with AI data preparation, predictive analytics, and conversational AI assistant for exploring business data across any device. Domo brings together data integration, visualisation, and collaboration into a single cloud-native platform accessible on desktop and mobile. Its AI features include Domo.AI for automated data, data app building, and predictive forecasting features.
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 | Domo | Looker (Google) |
|---|---|---|
| Pricing | paid | paid |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.2 | 4.5 |
| Best For | Executive teams and mobile-first organisations needing cloud BI | Enterprise teams on Google Cloud needing governed, embedded analytics |
| Views | 56 | 72 |
Pros
- Excellent mobile analytics experience
- Vast library of pre-built connectors
- Strong collaboration and sharing features
Cons
- Pricing can be opaque and expensive
- Performance issues with very large datasets
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
- Domo.AI conversational analytics assistant
- AI-powered data preparation and ETL
- Mobile-first dashboard experience
- 1000+ pre-built data connectors
- Collaborative data apps and workflows
- LookML semantic modelling layer
- Natural language data exploration
- Google Cloud and BigQuery native integration
- Embedded analytics capabilities
- Centralised metric governance