Euno
Automate metadata governance for trusted BI & AI data
Target Audience
- Analytics Engineers
- BI Teams
- Data Governance Managers
Hashtags
Social Media
Overview
Euno helps organizations maintain reliable data for business intelligence and AI applications. It automatically maps data relationships across tools, aligns metrics across teams, and certifies data quality through customizable rules. Teams can eliminate conflicting reports, reduce cloud costs by cleaning unused resources, and ensure AI systems use trustworthy information.
Key Features
Automated Catalog
Track data lineage from BI tools to source systems
Metric Alignment
Sync definitions between dbt and BI platforms
AI Certification
Validate data quality for machine learning readiness
Cost Optimization
Identify and remove unused data resources
Use Cases
Sync dbt models with Looker/Tableau
Certify dashboard data quality
Clean unused database models
Govern metric definitions across teams
Pros & Cons
Pros
- Automates technical metadata tracking
- Reduces BI tool/data warehouse conflicts
- Integrates with modern data stack (dbt, Looker, Tableau)
- Provides actionable optimization recommendations
Cons
- Primarily targets technical data teams
- Requires existing dbt/BI tool infrastructure
- Limited non-SQL customization shown
Frequently Asked Questions
How does Euno integrate with dbt?
Euno automatically syncs metrics and models between dbt and BI tools, maintaining consistency across data layers.
What is EQL?
Euno Query Language lets users search metadata like 'Find dashboards using deprecated models' through natural syntax.
Integrations
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