Releasesby Glyph
Amazon Redshift expands SUPER data type to store strings up to 16 million bytes
Amazon Redshift now supports strings up to 16 million bytes within SUPER data types. This allows for direct ingestion and SQL querying of large documents without requiring pre-loading transformations.
Also shipped Nov 6, 2026AWS in November 2026 →
Gemini Enterprise: End of Gemini Code Assist entitlement for existing subscriptions
Bundled Gemini Code Assist entitlements for existing Gemini Enterprise subscriptions will be removed on March 31, 2027. New subscriptions no longer include this entitlement as of October 9, 2026, with users directed to Google Antigravity for coding assistance.
Gemini Enterprise: Video generation upgrades to Omni 1.2 Flash
Gemini Omni 1.2 Flash is now generally available for video generation, replacing Veo 3.1. The update improves video clarity and instruction following.
Gemini Enterprise: Adobe data store (Preview)
The Adobe data store is now available in public preview for Gemini Enterprise. Users can search, share, and manage Adobe Creative Cloud assets and edit images using natural language.
BigQuery Graph and GQL queries are available with on-demand pricing
BigQuery Graph and Graph Query Language (GQL) are now supported for users on on-demand pricing models.
BigQuery Data Transfer Service for Shopify deprecates specific fields
Effective January 31, 2027, the BigQuery Data Transfer Service for Shopify will no longer support the legacyMode field in DeliveryProfile and the permitSkuSharing field in FulfillmentService.
BigQuery adds organization policy controls for models in preview
Users can now define custom organization policies to allow or deny specific operations on models within BigQuery. This feature is currently in preview.
More from Amazon RedshiftEvery Amazon Redshift release →
Amazon Redshift announces hands-off automated cross-region backups
Amazon Redshift introduced automated cross-region snapshot copy for provisioned clusters and serverless workgroups to continuously replicate snapshots for disaster recovery.
AWS Backup adds restore testing support for Amazon Redshift
AWS Backup now supports automated restore testing for Amazon Redshift, allowing users to verify backups and measure recovery time objectives.
Amazon Redshift adds support for creating and refreshing Apache Iceberg materialized views
Amazon Redshift now supports the creation and refresh of Apache Iceberg materialized views. Materialized views pre-compute expensive joins and aggregations once and store the results in an Apache Iceberg table in Amazon S3 or Amazon S3 table buckets, registered in the AWS Glue Data Catalog.
Amazon Redshift now supports cross-Region queries for your data lake
Amazon Redshift now supports querying Amazon S3 data lake tables located in a different AWS Region. With enhanced VPC routing, data lake query traffic between Amazon S3 and Amazon Redshift stays within your own VPC.
Amazon Redshift simplifies access to secure logging with federated permissions
Amazon Redshift now makes it easier to troubleshoot and audit queries on data protected by federated permissions with fine-grained access control (FGAC). Using the new DEBUG permission, data owners can let specific identities see unredacted secure logging records across multiple Redshift data warehouses.