Amazon Redshift stores materialized views as open Iceberg tables readable by every engine

As of October 5, 2026, Redshift can write the results of its materialized views as Apache Iceberg tables in S3, queryable by Athena, Spark, Glue, and SageMaker with no copy in between. For a team that wants its precomputed aggregates open to every engine instead of locked inside Redshift, this is a concrete pivot.