Releasesby Glyph
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.
Also shipped Oct 30, 2026AWS in October 2026 →
Microsoft Graph Logs connector is available in Beta
The Microsoft Graph Logs connector is now in beta for Databricks Lakeflow Connect, supporting incremental ingestion of security alerts from Microsoft security products.
Hybrid table support for Google Cloud (Preview)
Snowflake hybrid tables are now supported in all Google Cloud commercial regions in preview.
External OAuth for Snowflake Postgres (General availability)
External OAuth for Snowflake Postgres is now generally available, allowing authentication via external identity providers.
Spanner supports equality and ordering comparisons on JSONB and JSON values
Spanner now allows equality and ordering comparisons on JSONB and JSON values directly in GROUP_BY and ORDER BY clauses. It also supports implicit type coercion and search indexes for JSON equality operations.
[In preview] Public Preview: Support database-level managed identity (including FIC) in Create Database Scoped Credential T-SQL
Users can now assign a user-assigned managed identity to individual databases in Azure SQL Database. This enables secure access to files in Azure Blob Storage and Data Lake Storage Gen2 via external tables and OPENROWSET.
Inference request metadata logging (GA)
Inference request metadata logging is now generally available for Gemini and Claude models. It records model usage, latency, and error codes without capturing prompt or response content.
More from AWS Glue and Lake FormationEvery AWS Glue and Lake Formation release →
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.
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 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.