# Data Team Collaboration - Honeydew

URL: https://honeydew.ai/collaboration/

## Collaboration

Honeydew makes your semantic layer a shared workspace.

Data engineers, analysts, and AI builders can all contribute to the same model — safely and transparently.

## One Source of Truth, Many Contributors

Every definition is versioned in YAML, so changes are readable, reviewable, and governed – just like code. Changes can be made in Honeydew Studio – or directly in code.

## Version Control Built for Data Logic

Honeydew tracks every change to your semantic model — additions, edits, and removals — across metrics, entities, and filters.
Teams can propose updates, review diffs, and merge approved changes with full history and rollback support.

Docs: [Version control](https://honeydew.ai/docs/governance/git-version-control)

## Connected to Your Workflow

Collaborate the same way you already do. Honeydew integrates with Git and CI/CD pipelines, making semantic changes part of your day-to-day release process.
Pull requests, approvals, and automated checks — all supported out of the box.

Docs: [CI/CD](https://honeydew.ai/docs/governance/ci-cd/overview)

## 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/)