Amazon S3 Tables are now available in three additional AWS Regions

Amazon S3 Tables are now available in three additional AWS Regions: Asia Pacific (Seoul), Asia Pacific (Singapore), and Asia Pacific (Sydney). S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. S3 Tables are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets. You can use S3 Tables with AWS analytics services through the preview integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time. S3 Tables are now generally available in eleven [AWS Regions](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-regions-quotas.html). For pricing details, visit the [S3 pricing page](https://aws.amazon.com/s3/pricing/). To learn more, visit the [product page](https://aws.amazon.com/s3/features/tables/), [documentation](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables.html), and [AWS News Blog](https://aws.amazon.com/blogs/aws/new-amazon-s3-tables-storage-optimized-for-analytics-workloads/).