AWS – Announcing Amazon S3 Metadata (Preview) – Easiest and fastest way to manage your metadata

Amazon S3 Metadata is the easiest and fastest way to help you instantly discover and understand your S3 data with automated, easily-queried metadata that updates in near real-time. This helps you to curate, identify, and use your S3 data for business analytics, real-time inference applications, and more. S3 Metadata supports object metadata, which includes system-defined details like size and the source of the object, and custom metadata, which allows you to use tags to annotate your objects with information like product SKU, transaction ID, or content rating, for example.

S3 Metadata is designed to automatically capture metadata from objects as they are uploaded into a bucket, and to make that metadata queryable in a read-only table. As data in your bucket changes, S3 Metadata updates the table within minutes to reflect the latest changes. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data. S3 Tables integration with AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize data—including S3 Metadata tables—using AWS Analytics services such as Amazon Data Firehose, Athena, Redshift, EMR, and QuickSight. Additionally, S3 Metadata integrates with Amazon Bedrock, allowing for the annotation of AI-generated videos with metadata that specifies its AI origin, creation timestamp, and the specific model used for its generation.

Amazon S3 Metadata is currently available in preview in the US East (N. Virginia), US East (Ohio), and US West (Oregon) Regions, and coming soon to additional Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, documentation, and AWS News Blog.

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