
Amazon Redshift now supports UPDATE, DELETE, and MERGE operations on Apache Iceberg tables, enabling direct data manipulation without external processing engines while maintaining cross-engine interoperability.


<div><p>This article announces that Amazon Redshift now supports row-level UPDATE, DELETE, and MERGE operations on Apache Iceberg tables, enabling direct data manipulation without external processing engines.</p><ul><li>UPDATE, DELETE, and MERGE operations now work on partitioned and unpartitioned Iceberg tables</li><li>Supports S3 Tables and common Iceberg partition transforms</li><li>MERGE enables single-statement insert and update logic for data integration patterns</li><li>Tables remain compatible with other Iceberg engines like EMR and Athena</li><li>AWS Lake Formation permissions supported for Iceberg write operations</li><li>Available in all AWS Regions where Redshift operates</li></ul><p>This release simplifies data lake operations by allowing Redshift users to perform DML operations directly on Iceberg tables, reducing pipeline complexity and latency.</p></div>


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