AWS adds Iceberg materialized views support to Redshift

Amazon Redshift now supports Iceberg materialized views — precomputed query results stored in Iceberg tables. Enterprises can reuse the same results across Redshift, Spark, Athena and AI agents without replicating data or building separate ETL pipelines, cutting compute costs.

• Redshift now stores query results in open Iceberg tables
• Results can be reused in Spark, Athena and other engines without data replication
• Compute costs drop by avoiding repeated metric calculations
• A single metric version reduces inconsistencies in AI agent responses