Posted On: May 24, 2022

Today, we are announcing the general availability of two additional storage locations for AWS DataSync, an online data movement service that makes it easy to sync your data both into and out of the AWS Cloud. This release expands the number of supported storage locations from 10 to 12, spanning on-premises, edge, and other cloud storage services. With DataSync, you can quickly and securely access your data across various storage locations and move it to AWS to support your workflows, processing, and data retention needs, as well as share and exchange data across more locations.

With this release, DataSync now supports Google Cloud Storage and Azure Files storage locations in addition to Network File System (NFS) shares, Server Message Block (SMB) shares, Hadoop Distributed File Systems (HDFS), self-managed object storage, AWS Snowcone, Amazon Simple Storage Service (Amazon S3), Amazon Elastic File System (Amazon EFS), Amazon FSx for Windows File Server, Amazon FSx for Lustre, and Amazon FSx for OpenZFS.

As a fully-managed service, DataSync removes the operational burden of online data movement, including setting up and maintaining infrastructure, building, buying and operating data transfer software, and manually running and verifying one-time or periodic data transfers. DataSync also has built-in security capabilities such as encryption of data in-transit and at-rest and end-to-end data integrity verification. DataSync uses a purpose-built network protocol and scale-out architecture to accelerate data movement and optimize the use of your network through bandwidth throttling controls and compression of data in-transit. It also automatically recovers from temporary network issues and provides control and monitoring capabilities such as data transfer scheduling, include and exclude filters, and granular visibility into the transfer process through Amazon CloudWatch metrics, logs, and events.

To learn more, visit the AWS DataSync product page, our Getting Started tutorial, or try DataSync in the AWS Console.