Data collaboration
Data collaboration on Databricks enables secure, governed sharing of data assets across organizations, clouds, and platforms. Using Delta Sharing—the first open protocol for secure data sharing—providers can share tables, views, volumes, notebooks, AI models, and more without copying data or managing complex access controls.
The Databricks Marketplace extends this capability by providing a discovery and distribution platform where data providers can publish, monetize, and manage their data products at scale.
Who this is for
This guide is for data providers who want to share data through Databricks Marketplace or Delta Sharing. It covers:
- Technical best practices for preparing and sharing data
- Go-to-market considerations for Marketplace listings
- Operational guidance for managing data products over time
This guide assumes your data already exists within Databricks and is registered in Unity Catalog. It does not cover upstream ingestion or ETL processes.
In this section
| Topic | Description |
|---|---|
| Getting started | Prerequisites, account setup, and distribution options |
| Delta Sharing | Share types: tables, views, volumes, notebooks, models, and MCP |
| Data as a Product | Productizing your data with Unity Catalog layout and metadata |
| Sharing patterns | D2D, D2O, and O2D sharing best practices |
| Access & Distribution | Recipients, entitlements, and Marketplace listings |
| Operations | Access management, monitoring, and provider runbook |
What's next
- Start with Getting started to set up your account
- Understand Delta Sharing and the asset types you can share
- Learn how to productize your data for sharing
- Explore sharing patterns for D2D and D2O scenarios