Releasesby Glyph
AWS Glue Data Catalog now supports catalog-vended credentials with Apache Iceberg REST catalog federation
AWS Glue Data Catalog now supports vended credentials for Apache Iceberg REST catalog federation. This allows users to read external Iceberg tables using coarse-grained grants and temporary security credentials scoped to S3 prefixes.
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 AWS Glue and Lake FormationEvery AWS Glue and Lake Formation release →
Amazon S3 Tables now offer managed migration of Apache Hive tables to Apache Iceberg
Amazon S3 Tables now supports managed migration of Apache Hive tables to Apache Iceberg. The service handles data validation, compatibility checks, type conversions, and file recompression as a managed, API-driven operation.
AWS Glue Data Catalog now supports Apache Iceberg table optimization in the US West (N. California) Region
Automatic table optimization for Apache Iceberg is now available in the US West (N. California) region. It compacts small files and removes unreferenced snapshots to improve query performance.
AWS Glue Data Catalog now supports OAuth for Apache Iceberg REST Catalog APIs
AWS Glue Data Catalog now supports OAuth 2.0 bearer token authentication for Apache Iceberg REST Catalog APIs, allowing secure federated access for third-party analytics platforms.
Amazon EMR now supports native data quality checks in Apache Spark jobs
Amazon EMR now validates data quality natively within Apache Spark jobs. Data engineering teams can catch quality issues inline before bad data reaches downstream systems, without building or maintaining separate validation infrastructure.
AWS Glue Data Catalog now supports table optimization, statistics, and crawlers for Apache Iceberg V3
AWS Glue Data Catalog now supports table optimization, statistics, and crawlers for Apache Iceberg Version 3 (V3) tables. With these new capabilities, you can automatically maintain V3 tables, optimize them for query performance, and discover them in Amazon S3.
Apache Iceberg materialized views now support system-managed write protection
Today, AWS announces system-managed materialized views for Apache Iceberg. Materialized views let you precompute an expensive query once and reuse the result across engines. Because this result is an open Iceberg table in your data lake, anyone with write access can change it, either through the catalog or by writing to the files in Amazon S3.
AWS Glue Data Quality delivers context-specific rule recommendations in seconds
AWS Glue Data Quality now generates data quality rules in seconds, reducing the time to establish data quality checks for your tables in the AWS Glue Data Catalog. You get a ready-to-use set of rules with full coverage across every column, with no manual setup, so you can move from raw data to trusted data faster while authoring pipelines.
AWS Glue zero-ETL now captures archived Salesforce records
AWS Glue zero-ETL integrations for Salesforce now capture archived records in your target tables, giving you a complete replica of your Salesforce data for analytics and reporting. Archived records are identified and reflected accurately through the isArchived field, so your analytical data stays fully in sync with your Salesforce source.