Amazon Redshift adds support for Apache Iceberg v3 tables
Amazon Redshift now supports reading and writing Apache Iceberg v3 tables within data lakes, expanding its capabilities for data lake integration. This update introduces features like default column values for simpler schema evolution, row lineage for building incremental pipelines and CDC workflows, and deletion vectors for faster high-frequency update/delete operations. The v3 format is available on Redshift's Graviton-based provisioned and serverless clusters. Users can create new v3 tables or upgrade existing v2 tables in place.
Features (1) ›
- Apache Iceberg v3 Table Support
Amazon Redshift now enables reading from and writing to Apache Iceberg v3 tables in data lakes. This includes support for default column values to simplify schema evolution, row lineage for incremental pipelines and CDC workflows, and deletion vectors for improved performance in high-frequency update and delete operations. Graviton-based provisioned and serverless clusters support this new format.
https://aws.amazon.com/about-aws/whats-new/2026/08/amazon-redshift-supports-apache-iceberg-v3
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