Honeydew × dbt

Honeydew complements dbt by providing governed business semantics above your transformation layer. dbt manages data pipelines; Honeydew defines how the business interprets them.

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Semantic Logic Above Your Models

dbt builds clean, reliable tables; Honeydew defines entities, metrics, relationships, and rules on top of them — creating a unified business model for every downstream tool.

No More Metric Logic in SQL Models

Metrics, filters, and joins move out of dbt SQL and into Honeydew’s semantic definitions, reducing code duplication and keeping business rules versioned and centralized.

Consistent Output Across BI & AI

Honeydew compiles semantic logic into SQL for any interface – dashboards, notebooks, or AI agents – ensuring every downstream consumer interprets dbt models the same way.

Governance and Version Control End-to-End

dbt governs transformations; Honeydew governs business logic. Together they provide a full stack of tested, documented, version-controlled data and semantics.