# Semantic Layer Modeling - Honeydew

URL: https://honeydew.ai/modeling/

## Modeling

Modeling defines what your data means. Build it in minutes with AI.

It turns your tables and tribal knowledge into business logic - the entities, metrics, and relationships that describe how your company actually works.

## Entities & Relationships

Define your core business objects - like Customer or Transaction - and how they connect.
Honeydew semantic compiler understands these relationships and uses them to generate joins, context, and filters automatically.

Docs: [Entities](https://honeydew.ai/docs/modeling/entities) · [Relations](https://honeydew.ai/docs/modeling/relations)

## Metrics: the language of the business

Metrics are how your business measures itself — Revenue, Active Users, Retention, Margin.
Define those metrics once, and reuse them everywhere. The Honeydew semantic compiler constructs on-the-fly correct SQL for any data consumer that needs them.

Docs: [Metrics](https://honeydew.ai/docs/calculations/metrics)

## One model, a domain per team

Teams don't fork the model - they extend it. A team's domain starts from the shared base and changes what differs: a regional filter added, PII columns dropped, a warehouse role pinned.
Everything else stays shared. Fix a metric in the base and every domain built on it gets the fix.

Docs: [Domains](https://honeydew.ai/docs/domains) · [Domain hierarchy](https://honeydew.ai/docs/recipes/domain-hierarchy)

## Links

- [Documentation](https://honeydew.ai/docs)
- [Get started](https://honeydew.ai/get-started/)
- [Pricing](https://honeydew.ai/pricing/)
- [Blog](https://honeydew.ai/blog/)
- [Home](https://honeydew.ai/)