AWS Release notes and new features

Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake

Amazon Aurora PostgreSQL now supports direct queries of data stored in Apache Iceberg and Parquet formats within data lakes. This eliminates the need for ETL pipelines when combining transactional data with historical records.

• Amazon Bedrock expands Claude models in-region support in the UK (London)Amazon Bedrock
• Amazon Kinesis Video Streams now supports VPC endpoints with AWS PrivateLinkAmazon Kinesis and MSK
• Amazon Quick adds Hierarchy Filter for guided dashboard drill-downAmazon Quick Suite
• Amazon Quick now supports live data from your datasets in appsAmazon Quick Suite
• Amazon Redshift simplifies access to secure logging with federated permissionsAmazon Redshift
• Aurora PostgreSQL now supports querying of Apache Iceberg and Parquet dataAmazon Aurora and DynamoDB
• Amazon Aurora and RDS now support AMD-based R8a instancesAmazon Aurora and DynamoDB
• Amazon Aurora serverless now scales faster to support agentic AI and other bursty workloadsAmazon Aurora and DynamoDB
• Amazon S3 Vectors introduces metadata pre-filtering for up to 5x higher recall on filtered searchAmazon S3 Tables and Vectors
• Apache Iceberg materialized views now support system-managed write protectionAWS Glue and Lake Formation
• OpenAI GPT-6 Astra now supports UltraFast mode on Amazon BedrockAmazon Bedrock
• Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lakeAmazon Aurora and DynamoDB · GA
• Amazon S3 Tables now support all Apache Iceberg V3 data typesAmazon S3 Tables and Vectors
• Amazon S3 Vectors now supports metadata pre-filtering for higher recall on filtered searchesAmazon S3 Tables and Vectors