# Semantic Layer for BI - Honeydew

URL: https://honeydew.ai/bi-integration/

## Move business logic from BI to the data

Honeydew enables all BI Tools to operate directly on your Data Cloud with a shared semantic model, governance and performance optimizations.

### Automatic performance

Run BI on billions of rows, leveraging aggregate awareness and other automated performance optimizations

Docs: [Performance](https://honeydew.ai/docs/performance/overview) · [Aggregate awareness](https://honeydew.ai/docs/performance/aggregate-awareness)

### Shared language

Centralize how your physical data structure is presented to your business users in their BI tools.

Docs: [BI tools](https://honeydew.ai/docs/integration/bi-tools/supported-tools)

### No duplication

Define metrics and aggregations only once, in SQL. No need for Power BI DAX expressions or Tableau LOD calculations.

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

### Modern workflow

Make sure every change is managed, versioned, approved and automatically tested.

Docs: [Version control](https://honeydew.ai/docs/governance/git-version-control) · [CI/CD](https://honeydew.ai/docs/governance/ci-cd/overview)

> Honeydew is a single source of truth both for the organization and for my team. Whether creating a new dashboard, running ad-hoc analysis or preparing board slides, with Honeydew we've gained confidence that every stakeholder speaks the same language.

— Omri Antman, Head of Data and Analytics

## 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/)
