Category: Amazon S3 Tables

AWS re:Invent 2025 is only 3 weeks away and I’m already looking forward to the new launches and announcements at the conference. Last year brought 60,000 attendees from across the globe to Las Vegas, Nevada, and the atmosphere was amazing. Registration is still open for AWS re:Invent 2025. We hope you’ll join us in Las Vegas […]

This week started with challenges for many using services in the the North Virginia (us-east-1) Region. On Monday, we experienced a service disruption affecting DynamoDB and several other services due to a DNS configuration problem. The issue has been fully resolved, and you can read the full details in our official summary. As someone who […]

Amazon S3 now enables improved Apache Iceberg query performance through two new compaction strategies—sort and z-order—available for both S3 Tables and general purpose S3 buckets, helping organize data more efficiently by clustering similar values together and reducing file scanning during queries.

Amazon S3 Tables integration with SageMaker Lakehouse enables unified access to S3 Tables data from AWS analytics engines like Amazon Athena, Redshift, EMR, and third-party query engines, to build securely and manage centrally.

Amazon S3 Tables optimize tabular data storage (like transactions and sensor readings) in Apache Iceberg, enabling high-performance, low-cost queries using Athena, EMR, and Spark.