Amazon S3 Glacier improves restore throughput by up to 10x when retrieving large volumes of archived data

Amazon S3 Glacier improves restore throughput by up to 10x when retrieving large volumes of archived data. The increased throughput automatically applies to all standard and bulk retrievals from the Amazon S3 Glacier Flexible Retrieval and Amazon S3 Glacier Deep Archive storage classes, and is available at no additional cost. With higher restore throughput, applications can now process archived data faster.

Customers often need to retrieve millions, or even, billions of archived objects quickly when restoring backups, responding to audit requests, retraining machine learning models, or performing analytics on historical data. Now, Amazon S3 Glacier supports restore requests at a rate of up to 1,000 transactions per second, per account in an AWS Region. The improved restore rate allows your applications to initiate restore requests from S3 Glacier at a much faster rate, significantly reducing the restore completion time for datasets composed of small objects. In addition, with S3 Batch Operations, you can now automatically initiate requests at a faster rate, allowing you to restore billions of objects containing petabytes of data with just a few clicks in the S3 console, or with a single API request. The retrieval performance benefit scales with the number of restored objects, and reduces data retrieval completion times by up to 90%.

The increased restore request rate is now available in all AWS Regions including the AWS GovCloud (US) Regions, the Amazon Web Services China (Beijing) Region, operated by Sinnet, and the Amazon Web Services China (Ningxia) Region, operated by NWCD. To learn more about Amazon S3 Glacier retrieval options, visit the S3 features page, read the launch blog post, and view the user guide.