Databricks Sharing

Name: Databricks Sharing
Brand: Databricks
Rating: 4.5 (48 reviews)

Databricks Sharing is a managed implementation of the Delta Sharing open protocol that provides live or near-real-time governed access to tables and other assets across organizational boundaries, integrated with Unity Catalog for RBAC and audit logging.

Est 2013|Valuation $188B|Raised $33.1B

LinkedIn 1.3M|Website|Web traffic 4.3M|FTEs 16,133|HQ San Francisco, California, US

01Competitive Landscape

Narrative analysis

- Databricks vs Snowflake: Snowflake emphasizes that shared access often does not copy data between accounts and that consumers can be charged for compute. Delta Sharing uses an open protocol which can involve object-store access patterns (for example, pre-signed URLs) and therefore places operational emphasis on egress and file-layout in some scenarios. - Databricks vs OSS Delta Sharing: Databricks provides a managed service integrated with Unity Catalog governance and audit logging. A self-managed deployment offers flexibility but shifts security and operations responsibilities to the deploying organization; the reference server documentation advises appropriate hardening and proxying.

	Databricks Sharing (Delta Sharing)	Snowflake Secure Data Sharing	Self-managed Delta Sharing (OSS)
Starting price / commercial model	No standalone published price; vendor materials describe managed Delta Sharing with platform usage charging for compute, storage, and egress	No separate share fee; consumers pay compute for queries; provider bears storage; reader accounts change compute allocation models	Open-source under Apache-2.0; infrastructure and operational costs are borne by the deploying organization
Suitable for	Databricks customers using Unity Catalog who need governed cross-organization sharing and multi-asset sharing in Databricks-to-Databricks scenarios	Snowflake-centric organizations sharing to other Snowflake accounts where in-warehouse governance is preferred	Organizations that require protocol interoperability without vendor-managed services and have resources to operate and secure the server
Advantages	Implements an open protocol integrated with Databricks governance and auditing; supports cross-platform recipients via connectors	In-warehouse sharing avoids external data transfer in many cases; clear consumer-pays-compute model within Snowflake	Full control and portability; no reliance on vendor-managed infrastructure
Limitations	May involve object-store access patterns and metadata/file-count limits; depends on Unity Catalog configuration	Primarily Snowflake-to-Snowflake sharing; cross-cloud/region scenarios can involve replication or transfer costs	Requires security hardening and ongoing operations; reference server guidance recommends placement behind secure proxies

01Competitive Landscape

Narrative analysis

Databricks vs Snowflake: Snowflake emphasizes that shared access often does not copy data between accounts and that consumers can be charged for compute. Delta Sharing uses an open protocol which can involve object-store access patterns (for example, pre-signed URLs) and therefore places operational emphasis on egress and file-layout in some scenarios.
Databricks vs OSS Delta Sharing: Databricks provides a managed service integrated with Unity Catalog governance and audit logging. A self-managed deployment offers flexibility but shifts security and operations responsibilities to the deploying organization; the reference server documentation advises appropriate hardening and proxying.

	Databricks Sharing (Delta Sharing)	Snowflake Secure Data Sharing	Self-managed Delta Sharing (OSS)
Starting price / commercial model	No standalone published price; vendor materials describe managed Delta Sharing with platform usage charging for compute, storage, and egress	No separate share fee; consumers pay compute for queries; provider bears storage; reader accounts change compute allocation models	Open-source under Apache-2.0; infrastructure and operational costs are borne by the deploying organization
Suitable for	Databricks customers using Unity Catalog who need governed cross-organization sharing and multi-asset sharing in Databricks-to-Databricks scenarios	Snowflake-centric organizations sharing to other Snowflake accounts where in-warehouse governance is preferred	Organizations that require protocol interoperability without vendor-managed services and have resources to operate and secure the server
Advantages	Implements an open protocol integrated with Databricks governance and auditing; supports cross-platform recipients via connectors	In-warehouse sharing avoids external data transfer in many cases; clear consumer-pays-compute model within Snowflake	Full control and portability; no reliance on vendor-managed infrastructure
Limitations	May involve object-store access patterns and metadata/file-count limits; depends on Unity Catalog configuration	Primarily Snowflake-to-Snowflake sharing; cross-cloud/region scenarios can involve replication or transfer costs	Requires security hardening and ongoing operations; reference server guidance recommends placement behind secure proxies

Databricks Sharing

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map