Amazon S3 Tables add create and query table support in the S3 console

Amazon S3 Tables now support create and query table operations directly from the S3 console using Amazon Athena. With this new feature, you can now create a table, populate it with data, and query it with just a few steps in the S3 console.

To get started, enable S3 Tables integration with Amazon SageMaker Lakehouse, which allows AWS analytics services to automatically discover and access your S3 Tables data. Then, select a table bucket and select “Create table with Athena”, or select an existing table and select “Query table with Athena”.

As the first cloud object store with built-in Apache Iceberg support, S3 Tables offer the easiest way to store tabular data at scale. You can access S3 Tables with AWS analytics services through the now generally available SageMaker Lakehouse integration, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink.

This support is available in all AWS Regions where S3 Tables are available. To learn more about S3 Tables, visit the product page and documentation. To learn more about the integration between S3 Tables and SageMaker Lakehouse, read the AWS News Blog.