Amazon Redshift announces support for automatic refresh of materialized views on Apache Iceberg tables
News
Amazon Redshift has introduced a new feature that enables automatic refresh of materialized views on Apache Iceberg tables in Amazon S3 data lakes.
- Automatic refresh occurs when new data is added or deleted from Apache Iceberg tables
- Supports building more complex and flexible analytics pipelines
- Works with external tables stored in Amazon S3 buckets
- Feature is immediately available for use
- Detailed documentation available in Amazon Redshift Materialized Views guide
This enhancement simplifies data lake analytics by automatically updating materialized views when underlying data changes, reducing manual maintenance and improving data freshness.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Jul 16
2025
2025
Amazon Redshift announces support for cascading refresh of nested materialized views
Oct 30
2024
2024
Amazon Redshift now supports incremental refresh on Materialized Views (MVs) for data lake tables
Dec 13
2024
2024
Amazon Redshift supports auto and incremental refresh of Materialized Views for zero-ETL integrations
Nov 17
2025
2025
Amazon Redshift now supports writing to Apache Iceberg tables
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.