亚马逊云科技在中国区域推出Amazon S3 Tables

Core Insights - Amazon Web Services (AWS) has launched Amazon S3 Tables in its Beijing and Ningxia regions, optimized for large-scale analytical workloads with built-in support for Apache Iceberg tables, offering up to 3 times the query performance and 10 times the transactions per second compared to general storage buckets [1][3] Group 1: Product Features - Amazon S3 Tables is designed to manage Apache Iceberg tables in data lakes, significantly enhancing performance for large datasets [3] - It automates table lifecycle management tasks such as compression, snapshot management, and cleaning up unreferenced files, reducing the need for complex system maintenance [3] - The service supports row-level transactions, time travel for querying historical snapshots, and schema evolution to adapt table structures as business needs change [3] Group 2: Customer Benefits - Pendulum, a brand intelligence platform, reported a 6-fold increase in data processing speed and a 40% reduction in Amazon Glue job costs after adopting Amazon S3 Tables [4] - Zeta Global has integrated Amazon S3 Tables into its data lake architecture for unified storage and analysis of multi-source data, demonstrating significant performance improvements and operational simplification [4] Group 3: Market Position and Future Plans - The introduction of Amazon S3 Tables in China addresses the growing demand for modern data lake solutions and real-time analytics [5] - AWS has continuously enhanced Amazon S3 since its launch in 2006, including a 35% price reduction on object tagging and increasing the default storage bucket quota from 100 to 10,000, with the option to request up to 1 million buckets [5]