Looker vs Preset
Looker is better suited for large enterprises requiring centralized data governance with LookML, while Preset offers a managed Apache Superset… See pricing, features & verdict.
Quick Comparison
| Feature | Looker | Preset |
|---|---|---|
| Best For | Large enterprises with complex data models and a need for centralized governance | Teams looking for a managed Apache Superset solution with enterprise-grade security and collaboration features |
| Architecture | Centralized semantic layer using LookML, supports multiple data sources via connectors | Open-source Apache Superset with additional enterprise capabilities like SSO, LDAP integration, and role-based access control |
| Pricing Model | Standard $99/mo, Premium $299/mo, Enterprise custom | Free tier (1 user), Pro $25/mo, Team $49/mo |
| Ease of Use | Moderate to high due to the complexity of LookML and its ecosystem | Moderate due to the open-source nature but enhanced by managed features in Preset |
| Scalability | High, designed for enterprise-level use with robust security features | High scalability with Apache Superset's architecture and additional enterprise-grade features |
| Community/Support | Strong community presence, professional support available | Active community around Apache Superset, professional support available from Preset |
Looker
- Best For:
- Large enterprises with complex data models and a need for centralized governance
- Architecture:
- Centralized semantic layer using LookML, supports multiple data sources via connectors
- Pricing Model:
- Standard $99/mo, Premium $299/mo, Enterprise custom
- Ease of Use:
- Moderate to high due to the complexity of LookML and its ecosystem
- Scalability:
- High, designed for enterprise-level use with robust security features
- Community/Support:
- Strong community presence, professional support available
Preset
- Best For:
- Teams looking for a managed Apache Superset solution with enterprise-grade security and collaboration features
- Architecture:
- Open-source Apache Superset with additional enterprise capabilities like SSO, LDAP integration, and role-based access control
- Pricing Model:
- Free tier (1 user), Pro $25/mo, Team $49/mo
- Ease of Use:
- Moderate due to the open-source nature but enhanced by managed features in Preset
- Scalability:
- High scalability with Apache Superset's architecture and additional enterprise-grade features
- Community/Support:
- Active community around Apache Superset, professional support available from Preset
Interface Preview
Looker
Preset
Feature Comparison
| Feature | Looker | Preset |
|---|---|---|
| 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 is better suited for large enterprises requiring centralized data governance with LookML, while Preset offers a managed Apache Superset solution ideal for teams needing enterprise-grade security and collaboration features.
When to Choose Each
Choose Looker if:
When your organization needs robust semantic layer support, extensive customization options via LookML, and centralized data governance.
Choose Preset if:
If you prefer a managed open-source BI solution with enterprise-grade features like SSO and LDAP integration without the hassle of setting up Apache Superset yourself.
💡 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 Preset?
Looker offers a proprietary semantic layer (LookML) for centralized data governance, whereas Preset provides a managed version of the open-source Apache Superset with enterprise features.
Which is better for small teams?
Preset might be more suitable due to its lower entry barrier and managed service model, while Looker may require more upfront investment in terms of setup and training.
Can I migrate from Looker to Preset?
Migration would depend on the specific use cases and data models. Looker's proprietary nature might complicate direct migration compared to a BI tool like Apache Superset used by Preset.