Delta Sharing is an open data sharing protocol built on Delta Lake that enables secure, governed sharing of datasets across organizations, tools, and environments without requiring data export or the creation of parallel copies. Developed by Databricks, Delta Sharing provides a standardized mechanism for organizations to share data products while maintaining security, governance, and performance characteristics across distributed systems and heterogeneous platforms.

Delta Sharing extends the capabilities of Delta Lake, an open-source storage format that provides ACID transactions and unified batch and streaming data processing, by adding a sharing protocol layer. The protocol is designed to facilitate open consumption patterns for data products, allowing data to be accessed directly from its source location rather than requiring data duplication or export operations ¹⁾.

The architecture enables data sharing across multiple organizational boundaries and technical environments without necessitating data movement. This approach reduces storage overhead, improves data freshness, and maintains a single source of truth for shared datasets. Organizations can share data assets while retaining complete control over access permissions, data governance policies, and usage monitoring.

Delta Sharing is particularly integrated with dbt (data build tool), a popular open-source framework for data transformation. Organizations using dbt to generate analytical datasets can leverage Delta Sharing to expose these transformed data products to downstream consumers—whether internal teams, external partners, or third-party applications—without requiring additional data export steps or manual data pipeline synchronization ²⁾.

This integration creates a unified workflow where data is transformed once using dbt, stored in Delta Lake format, and then shared directly through Delta Sharing's standardized protocol. The combination supports modern data product architectures where teams need to share curated, governed datasets across organizational silos.

Delta Sharing provides fine-grained access control and governance capabilities essential for cross-organizational data sharing. Organizations can define access policies at the table, column, and row level, ensuring that shared data conforms to regulatory requirements, compliance frameworks, and business rules. The protocol enables audit logging and monitoring of data access patterns, supporting data governance and regulatory compliance objectives.

Security is maintained through standardized authentication and authorization mechanisms that do not require exposing underlying cloud credentials or storage infrastructure. This approach allows organizations to share data with external parties while maintaining defensive perimeters and protecting sensitive system configurations.

Delta Sharing promotes open consumption patterns where data products can be accessed through multiple tools and platforms. Rather than requiring consumers to adopt specific vendor technologies or proprietary integrations, Delta Sharing's standardized protocol enables consumption through diverse tools and programming languages. This openness reduces lock-in risk and allows organizations to build heterogeneous data architectures that leverage best-of-breed tools while maintaining unified data sharing capabilities ³⁾.

The protocol supports consumption patterns including direct query access, batch exports for integration with legacy systems, and real-time streaming subscription models, accommodating diverse downstream application requirements.

By eliminating the need for data export and parallel dataset copies, Delta Sharing reduces storage costs, improves data currency, and simplifies data pipeline architecture. Organizations avoid synchronization challenges and consistency issues that arise when maintaining multiple copies of the same data across different environments. The protocol enables faster time-to-insight by providing immediate access to shared datasets without extraction-transformation-loading (ETL) overhead.

Delta Sharing supports collaborative data ecosystems where multiple organizations can participate in data sharing arrangements while maintaining strict governance and security controls. This capability facilitates data marketplace implementations, partner data sharing, and cross-functional organizational data product strategies.

Delta Sharing represents an evolution in how organizations approach data sharing and interoperability in cloud environments. The protocol's open nature and integration with widely-used tools like dbt position it as a foundational capability for modern data platforms. As organizations increasingly adopt data product architectures and cross-organizational collaboration patterns, standardized sharing protocols become essential infrastructure.

• Delta Lake
• Lakehouse Architecture
• Lakeflow