Amazon S3 now delivers strong read-after-write consistency automatically for all applications

Posted on: Dec 1, 2020

Amazon S3 now delivers strong read-after-write consistency automatically for all applications. Unlike other cloud providers, Amazon S3 delivers strong read-after-write consistency for any storage request, without changes to performance or availability, without sacrificing regional isolation for applications, and at no additional cost.  

Amazon S3 pioneered object storage in the cloud with high availability, performance, and virtually unlimited scalability, with eventual consistency. Millions of customers of all sizes and industries have used Amazon S3 to store and protect any amount of data for a range of use cases. Increasingly, customers are using big data analytics applications that often require access to an object immediately after a write. Without strong consistency, you would insert custom code into these applications, or provision databases to keep objects consistent with any changes in Amazon S3 across millions or billions of objects. With strong consistency, S3 accelerates and simplifies the migration of on-premises analytics workloads by removing the need to make changes to applications, and reduces costs by removing the need for extra infrastructure to provide strong consistency.  

After a successful write of a new object or an overwrite of an existing object, any subsequent read request immediately receives the latest version of the object. S3 also provides strong consistency for list operations, so after a write, you can immediately perform a listing of the objects in a bucket with all changes reflected. 

All Amazon S3 customers automatically receive strong consistency in all AWS Regions including the AWS GovCloud (US) Regions, the AWS China (Beijing) Region, operated by Sinnet, and the AWS China (Ningxia) Region, operated by NWCD.  

To learn more about strong consistency for Amazon S3, read the blog post, visit the consistency feature page, or watch the launch video. Get started with Amazon S3, by visiting the overview page.