Materialize once, query anywhere: Introducing Iceberg materialized views in Amazon Redshift
Amazon Redshift ยท 2026-10-05
Actions
Technical Details
| Affected Versions | Serverless, RG |
|---|---|
| Regions | all |
| Cost Impact | Decrease |
| IaC Impact | High |
What This Means
For DevOps Teams
Update your Amazon Redshift clusters to support Iceberg materialized views by configuring IAM roles, S3 buckets, and AWS Glue databases to enable cross-engine querying and incremental refresh capabilities.
For Platform Teams
Adopt Iceberg materialized views in Amazon Redshift to simplify architecture, reduce toil, and enable consistent, performant analytics across multiple engines with minimal additional compute costs.
For Executives
Evaluate deploying Iceberg materialized views in Amazon Redshift to achieve up to 2.4x faster queries, 30% lower cost per vCPU, and enable cross-engine querying for consistent metrics and cost optimization across your analytics stack.
Source
Related Amazon Redshift Updates
- Amazon Redshift adds support for creating and refreshing Apache Iceberg materialized views (2026-10-05)
- Amazon Redshift now supports cross-Region queries for your data lake (2026-10-01)
- CVE-2026-8178 - Remote Code Execution via Unsafe Class Loading in Amazon Redshift JDBC Driver (2026-09-29)
- CVE-2026-8178 - Remote Code Execution via Unsafe Class Loading in Amazon Redshift JDBC Driver (2026-09-25)
- Amazon Redshift RG instances now available in Europe (Zurich) Region (2026-09-10)