Category: Amazon S3 Tables

Last week I had the joy of participating in Amazon’s “Bring Your Kids to Work Day” with my 7 year old son. We commuted together into the New York City office, his first real rush hour train ride, and spent the day exploring how Amazon uses AI, machine learning, and robotics to deliver packages to […]

New features enable automatic cost optimization through intelligent storage tiering and simplified table replication across AWS Regions and accounts.

New capabilities help optimize application performance, analyze unlimited prefixes, and simplify metrics analysis through S3 Tables integration.

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.