AWS has unveiled Amazon S3 Tables, a storage service similar to standard S3 but internally utilizes Apache Iceberg for storing large-scale analytics data. According to AWS, many customers are already storing Iceberg data for querying petabyte to exabyte-level data. This service helps streamline customer tasks by consolidating small files to enhance query efficiency, managing deletion of old data, and removing unreferenced data from other sources.
Amazon S3 Tables seamlessly integrate with Amazon Athena, Amazon Redshift, and Amazon EMR. The storage fees for Tables are slightly higher than standard S3, with additional costs for monitoring and maintenance.
TLDR: AWS introduces Amazon S3 Tables, a storage service optimized for storing massive analytics data using Apache Iceberg. Integration with popular AWS services and additional features make it a valuable tool for managing and querying large datasets.
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