Looker vs Redash
Looker offers a robust enterprise-level BI solution with extensive features, while Redash provides a flexible open-source alternative suitable… See pricing, features & verdict.
Quick Comparison
| Feature | Looker | Redash |
|---|---|---|
| Best For | Enterprise-level BI and data modeling with complex requirements | Teams looking for an open-source, self-hosted BI solution with flexibility and customization |
| Architecture | Centralized semantic layer, reusable data models, and metrics defined in LookML | Web-based interface for querying databases and visualizing results, supports 35+ data sources |
| Pricing Model | Standard $99/mo, Premium $299/mo, Enterprise custom | Free tier (5 users), Pro $29/mo |
| Ease of Use | Moderate to high due to its extensive feature set and specific language (LookML) | Moderate ease of use with a simple web interface but requires some SQL knowledge |
| Scalability | High scalability with robust support for large datasets and enterprise-level features | Moderate scalability, suitable for teams up to several hundred users |
| Community/Support | Strong community presence with paid support options | Active community and open-source support, paid support options available |
Looker
- Best For:
- Enterprise-level BI and data modeling with complex requirements
- Architecture:
- Centralized semantic layer, reusable data models, and metrics defined in LookML
- Pricing Model:
- Standard $99/mo, Premium $299/mo, Enterprise custom
- Ease of Use:
- Moderate to high due to its extensive feature set and specific language (LookML)
- Scalability:
- High scalability with robust support for large datasets and enterprise-level features
- Community/Support:
- Strong community presence with paid support options
Redash
- Best For:
- Teams looking for an open-source, self-hosted BI solution with flexibility and customization
- Architecture:
- Web-based interface for querying databases and visualizing results, supports 35+ data sources
- Pricing Model:
- Free tier (5 users), Pro $29/mo
- Ease of Use:
- Moderate ease of use with a simple web interface but requires some SQL knowledge
- Scalability:
- Moderate scalability, suitable for teams up to several hundred users
- Community/Support:
- Active community and open-source support, paid support options available
Interface Preview
Looker
Redash
Feature Comparison
| Feature | Looker | Redash |
|---|---|---|
| Analytics & Visualization | ||
| Interactive Dashboards | ✅ | ✅ |
| Self-Service Analytics | ⚠️ | ⚠️ |
| Embedded Analytics | ✅ | ⚠️ |
| Data & Governance | ||
| Data Source Connectivity | ⚠️ | ✅ |
| Data Modeling | ✅ | ⚠️ |
| Access Control & Governance | ⚠️ | ⚠️ |
Analytics & Visualization
Interactive Dashboards
Self-Service Analytics
Embedded Analytics
Data & Governance
Data Source Connectivity
Data Modeling
Access Control & Governance
Legend:
Our Verdict
Looker offers a robust enterprise-level BI solution with extensive features, while Redash provides a flexible open-source alternative suitable for teams preferring self-hosted solutions. The choice depends on specific requirements such as data source variety and customization needs.
When to Choose Each
💡 This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.
Frequently Asked Questions
What is the main difference between Looker and Redash?
Looker provides a centralized semantic layer, reusable data models defined in LookML, and advanced BI features. Redash offers an open-source web interface for querying databases and visualizing results with support for multiple data sources.
Which is better for small teams?
Redash might be more suitable due to its free open-source model and simpler setup process. However, Looker can still cater to smaller teams with specific enterprise-level requirements.
Can I migrate from Looker to Redash?
Migration would require significant effort as the data models and visualization methods differ between the two platforms. It's advisable to evaluate the feasibility based on your current setup and future needs.