| Aspect | Azure Data Share | Databricks Delta Sharing | Snowflake Secure Data Sharing |
|--------|------------------|--------------------------|------------------------------|
| Starting Price | Execution (snapshot) charges plus storage and network transfer; vendor documentation indicates modeling is required to estimate costs | Published per-plan and per-cloud pricing; data transfer and compute costs apply | Included as a capability of Snowflake platform editions; overall spend depends on compute and storage usage and contractual terms |
| Best Fit | Organizations with Azure-to-Azure partner sharing needs and supported Azure stores | Organizations that need to share with recipients outside a single platform or cloud | Organizations where both provider and consumer are Snowflake accounts and want in-warehouse sharing patterns |
| Key Strength | Azure-native governance controls, portal-based configuration, snapshot and in-place modes | Open protocol designed to support sharing with recipients outside the Databricks platform | In-platform sharing with Snowflake accounts and integrated ecosystem features |
| Key Weakness | Recipient and store constraints tied to Azure platform and supported stores | Cross-cloud egress and access patterns may affect cost/performance depending on architecture | Recipients typically need Snowflake accounts; cross-provider patterns can require replication and add cost |
- Competitor differentiators
- Databricks Delta Sharing: focuses on an open sharing protocol and connectors to support recipients outside the provider platform.
- Snowflake Secure Data Sharing: provides in-warehouse sharing for Snowflake accounts and marketplace-style distribution options within Snowflake's ecosystem.
- AWS Data Exchange: designed for marketplace-style distribution of data products with sender/receiver pricing constructs.
- Feature comparison summary
- Azure Data Share provides a native Azure workflow that is convenient when both parties use Azure and data resides in supported stores. It is comparatively constrained for cross-cloud recipient scenarios and lacks marketplace-style sender monetization as a primary design point.
- Pricing comparison summary
- Azure Data Share pricing requires modeling of snapshot execution, storage, and bandwidth. AWS Data Exchange and other marketplaces provide clearer marketplace billing constructs and transfer semantics; Snowflake's pricing is usage-based within its platform and may be subject to negotiated terms.
- Market share and adoption trends
- No product-specific market share statistics for Azure Data Share were identified in the reviewed public sources.