Description
dbt Metrics is an advanced analytics framework that brings AI-powered semantic modeling to the data transformation process, enabling organizations to define, document, and govern business metrics in code. The platform extends dbt's core transformation capabilities with a centralized metrics layer that ensures consistent definitions across all analytics tools and applications. By combining version-controlled metric definitions with automated testing and documentation, dbt Metrics creates a reliable foundation for AI-driven business intelligence while enabling self-service analytics that maintains data integrity and governance.
Key Features
- AI-powered semantic metric modeling
- Version-controlled metric definitions
- Centralized metrics governance
- Automated testing and validation
- Self-service analytics enablement
Use Cases
- Enterprise metrics standardization
- Business intelligence modernization
- Analytics governance implementation
- Data democratization with controls
- Self-service analytics acceleration
Pricing Model
Open-core with cloud and enterprise options
Integrations
Data warehouses, Business intelligence tools, Notebooks and IDEs, Git version control, Metrics catalogs
Target Audience
Analytics engineers, Data platform teams, BI developers, Data governance specialists, Business intelligence architects
Launch Date
2021
Available On
Cloud-native service, CI/CD environments, Development workflows
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