Releasesby Glyph
AWS Glue 6.0 now available with 30% lower price and full Apache Iceberg v3 support
Today, we are announcing the general availability of AWS Glue 6.0 , delivering 30% lower pricing than previous AWS Glue versions and introducing full support for Apache Iceberg v3 features. AWS Glue 6.0 is built on a fully modernized runtime, Apache Spark 4.1, Python 3.13, and Scala 2.13, delivering faster performance.
Also shipped Aug 21, 2026AWS in August 2026 →
Version targeting for Cortex Agent and Cortex Analyst evaluations (General availability)
Cortex Agent and Cortex Analyst evaluations now let you control the versioned configuration used for scoring: Version targeting pins the configuration under evaluation, not the agent behavior that gets evaluated: each run invokes the agent again and scores a newly generated trace.
CoCo automations in CLI and Snowsight (Preview)
CoCo automations in the CoCo CLI and CoCo in Snowsight are now available in public preview. Automations let you schedule recurring, unattended CoCo runs that execute in a Snowflake-managed sandbox. Each run creates a Cortex thread that you can inspect and continue in CoCo. Automations created from one surface can be monitored and managed from the other.
Upcoming end of life for the Supervisor API
The Supervisor API (Beta) reaches end of life on September 30, 2026. After that date, the API is no longer available. Databricks recommends migrating to custom agents on Databricks Apps . See Supervisor API (Beta) (deprecated) .
Consumer access to query Unity Gateway services will become generally available
Querying Unity Gateway model services and model provider services with Consumer access is currently opt-in through the Consumer access to Unity Gateway Public Preview . When this capability becomes generally available, consumer access users will be able to query these services without the preview enabled.
Monitor all AI activity with the unified trace table (Beta)
The unified trace table is in Beta . It captures every request and response across your Unity Gateway services into one Unity Catalog table in OpenTelemetry format, giving you a single place to monitor, debug, secure, and audit all AI activity. See Monitor all AI activity using the unified trace table .
Default Python package repositories are GA for Lakeflow pipelines and classic compute
Configuring default Python package repositories is now generally available for Lakeflow pipelines and for classic compute created via the UI and API. Workspace admins can set private or authenticated registries as the workspace default for these workloads. See Configure default package repositories .
More from AWS Glue and Lake FormationEvery AWS Glue and Lake Formation release →
AWS Glue zero-ETL adds target table property ownership and conflict detection
AWS Glue zero-ETL integrations now detect table property conflicts and track integration ownership. When you configure a source table and target catalog, Glue associates the resulting table properties with the owning integration, so two integrations can no longer be pointed at the same target table without your knowledge.
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.
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.
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 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.
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 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.
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.