11 releases · 2 this month
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.
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.
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 2.0 bearer token authentication for Apache Iceberg REST Catalog APIs, allowing secure federated access for third-party analytics platforms.
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 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.
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 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 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 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.
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.
ETL, the Data Catalog, Lake Formation and DataZone.
Other AWS products: Amazon Athena and EMR, Amazon Aurora and DynamoDB, Amazon Bedrock, Amazon Kinesis and MSK, Amazon OpenSearch Service, Amazon Quick Suite, Amazon Redshift, Amazon S3 Tables and Vectors, Amazon SageMaker, Kiro and Amazon Q
| Release-notes page | Site | Feed |
|---|---|---|
| Athena release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| Aurora document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| Aurora MySQL release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| Aurora PostgreSQL release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| Bedrock AgentCore release notes docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| Bedrock document history docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| DataZone document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| DynamoDB document history docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| EMR release notes docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| Glue document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| Kinesis Data Streams document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| Lake Formation document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| MSK document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| OpenSearch Service release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| Quick Suite document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| Redshift cluster versions docs.aws.amazon.com | docs.aws.amazon.com | None |
| Redshift document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| S3 Tables / S3 document history docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| SageMaker AI document history docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| SageMaker Unified Studio release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| What's New (all services) aws.amazon.com | aws.amazon.com | RSS |
Releasesby Glyph