Users can now perform schema changes such as adding or dropping columns, renaming columns, adjusting table properties, and modifying partition fields on Iceberg tables directly from Redshift. This eliminates the prior need to delete and recreate tables for structural changes, reducing complexity in data pipelines.
Write access to Iceberg tables through the awsdatacatalog mount allows Redshift transformations to land data directly into the data lake with interoperability for other engines like Amazon EMR and Athena. AWS Lake Formation permissions govern Iceberg write operations, ensuring secure, managed access across environments.
Source & further reading
Amazon Redshift adds ALTER TABLE for Iceberg tables and writes via the AWS Glue Data Catalog mount ↗Source published 2026-05-18. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.