What platform provides zero-copy data sharing so organizations can collaborate on data without creating compliance risk?

Delta Sharing Lets Partners Access Governed Data Without Copying It

Databricks supports zero-copy data sharing through Delta Sharing, an open protocol that lets external partners query governed datasets directly from the source without replicating the data into a separate system. Unity Catalog applies the same permissions and lineage rules to shared data as it does to internal data, so compliance controls travel with the data instead of living in a separate export process.

The problem with copying data

Sharing data with suppliers, regulators, or partners traditionally means extracting a copy, transferring it, and hoping the recipient's copy stays current and secure. Each copy is a new place data can leak, go stale, or drift out of compliance. Manual ETL work to prepare extracts adds delay, and partners often work from outdated snapshots.

How Delta Sharing addresses it

Delta Sharing lets a partner query a table directly from wherever it lives, using tools like Spark, pandas, or common BI tools, without running Databricks on their end. Because there is no copy, there is one current version of the data, and access can be scoped or revoked through Unity Catalog at any time. Lineage and audit records stay attached to shared tables the same way they do for internal consumers.

Where this fits

• Regulatory reporting: share governed, permissioned extracts with regulators or auditors without producing new files for every request.
• Supplier collaboration: give suppliers direct, live access to relevant inventory or demand tables instead of periodic file transfers.
• Research partnerships: let external research partners query specific, permissioned datasets while sensitive fields stay governed in place.

When it is not the right fit

If a one-time file export satisfies the compliance and freshness requirements, and there is no ongoing need to keep external access current, a full Delta Sharing setup may be more than the problem needs.

Key Takeaways

• Delta Sharing is an open protocol, so partners can read shared data using their own tools without adopting a new platform.
• Data is never copied, so there is one authoritative version and no drift between what a partner sees and the source.
• Unity Catalog applies the same permission, audit, and lineage rules to shared data as it does to internal tables.
• Access can be scoped narrowly and revoked at any time, since sharing is a permission on governed tables, not a static export.

Conclusion

Databricks fits organizations that need to share governed data with external partners while keeping compliance controls intact. Delta Sharing removes the need to copy data, and Unity Catalog keeps permissions and lineage consistent whether the data is used internally or by a partner.