Apache Iceberg v3 Support Arrives in Snowflake Public Preview
Snowflake announced public preview support for Apache Iceberg v3, the latest version of the open table format specification. The update introduces row lineage for change data capture (CDC), native variant data handling, and improved interoperability with other open table formats. Available now in preview, the feature aims to give customers more flexibility when working with open data lakes while maintaining Snowflake's performance, governance, and data-sharing capabilities.
Support for Apache Iceberg version 3 became available in public preview on March 4, 2026, according to Snowflake's release notes. The company positioned the update as a significant step in its ongoing commitment to open table formats. Iceberg v3 builds on previous versions by adding capabilities that address modern data engineering needs, particularly around real-time data movement and complex data types.
Key New Features in Iceberg v3 on Snowflake
Row lineage for CDC represents one of the most notable additions in v3. This functionality enables more efficient tracking of changes at the row level, which is critical for building reliable data pipelines that require incremental updates and audit trails. Snowflake said the feature simplifies change data capture workflows that previously demanded more complex custom implementations.
The preview also brings native support for variant data types within Iceberg tables. This enhancement allows Snowflake users to store and query semi-structured data more seamlessly inside Iceberg tables, reducing the need for data transformation when moving between Snowflake-native formats and open lakehouse environments.
Enhanced interoperability across open table formats is another core focus of the v3 support. Snowflake emphasized that customers can now more easily work with Iceberg tables alongside other open standards, improving data portability and reducing vendor lock-in concerns common in data platform decisions.
Technical Context and Competitive Landscape
Apache Iceberg has gained substantial traction as an open table format designed to bring reliability, performance, and schema evolution to data lakes. Version 3 introduces formal specification improvements that address limitations in earlier releases, particularly around delete operations, metadata handling, and lineage tracking.
Snowflake's move follows similar announcements from competitors. Databricks recently detailed expanded Iceberg integration across its platform, including support for external catalogs and advanced features like Delta Sharing. The competitive push toward open table formats reflects growing customer demand for multi-engine, open data architectures that avoid proprietary storage silos.
According to Snowflake's blog post, the v3 preview allows users to build secure, high-performance pipelines with native Iceberg support. This includes seamless batch, streaming, and AI-driven data workflows, aligning with industry trends toward unified lakehouse platforms.
Impact on Developers and Users
For data engineers and analytics teams, Iceberg v3 support on Snowflake means reduced friction when implementing CDC pipelines and handling diverse data types. Developers can leverage row-level lineage without leaving the Snowflake ecosystem, potentially accelerating development of real-time analytics and data quality monitoring applications.
The improved interoperability should benefit organizations pursuing multi-cloud or hybrid strategies. Teams can maintain governance and performance characteristics while storing data in open formats accessible by different query engines.
Enterprise users concerned about data portability and future-proofing their architectures stand to gain the most. By embracing the latest Iceberg specification, Snowflake signals continued investment in open standards rather than proprietary formats alone.
What's Next
Snowflake has not yet announced a timeline for general availability of Iceberg v3 support. Customers interested in testing the preview can access it through their Snowflake accounts, though specific feature flags or region availability details were not disclosed in the announcement.
The company is expected to continue expanding Iceberg capabilities based on user feedback from the public preview. Future updates may include additional v3 features and deeper integration with Snowflake's Cortex AI and data application services.
As the open table format ecosystem matures, further convergence between Iceberg, Delta Lake, and Hudi capabilities appears likely across major cloud data platforms.
Sources
- Snowflake Blog: Announcing Apache Iceberg v3 Support on Snowflake
- Snowflake Documentation: Mar 04, 2026: Support for Apache Iceberg™ version 3 (Preview)
- Snowflake Product Page: Native Support for Apache Iceberg Tables
- TechTarget: Snowflake embraces open source with full support for Iceberg
- Databricks Blog: Announcing full Apache Iceberg™ support in Databricks