Amazon Redshift introduced support for materialized views that precompute expensive joins and aggregations and store results as Apache Iceberg tables on Amazon S3, registered within the AWS Glue Data Catalog. This approach allows instant querying by any Iceberg-compatible engine, including Amazon Athena and Apache Spark, promoting a unified data view without replication or conversion overhead.
The system refreshes materialized views incrementally on demand, reducing redundant computation and enabling multiple users and teams to access a single precomputed source. This integration supports either multi-engine analytics or a single-engine pipeline, facilitating governance and discovery through Glue. Native Redshift materialized views are still available for highly performance-sensitive dashboards.
Source & further reading
Amazon Redshift adds support for creating and refreshing Apache Iceberg materialized views ↗Source published 2026-10-05. 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.