Amazon Web Services announced Amazon S3 Tables, a storage service optimized for analytics workloads. This service allows storing tabular data, such as transactions and sensor readings, in Apache Iceberg format, enabling high-performance, low-cost queries using Athena, EMR, and Spark. Compared to self-managed table storage, you can expect up to 3x faster query performance and up to 10x more transactions per second, along with the operational efficiency that comes with using a fully managed service. S3 Tables acts as an analytics warehouse that can store Iceberg tables with various schemas. In addition, S3 Tables delivers the same durability, availability, scalability, and performance characteristics as S3 itself, and automatically optimizes your storage to maximize query performance and minimize cost. S3 Tables supports relevant S3 API functions, including GetObject, HeadObject, PutObject, and the multi-part upload operations. All objects stored in table buckets are automatically encrypted. Table buckets are configured to enforce Block Public Access. For pricing, you pay for storage, requests, an object monitoring fee, and fees for compaction. This new feature is available in the US East (Ohio, N. Virginia) and US West (Oregon) AWS Regions.