Top AWS DataSync Alternatives

The purpose of data migration is to backup the data for preventing threats. This method is useful in handling sparse files. Furthermore, it eliminates cold data which is a type of information remained unused for a long time in the storage. At an enterprise level, such data occupies resources and increase the maintenance charge. To solve these issues, the company employs cloud storage. However, transferring files to cloud demands infrastructure and stable encryption process, which are unaffordable and ineffective. AWS DataSync does the heavy lifting for the organization and streamlines the migration task.

Quick deployment

AWS DataSync performs simple implementation procedures to ensure faster file migration. The organizations have to add the DataSync agent as virtual machines in their storage. This approach saves storage space and reduces costs. The agent connects with the network-attached storage or local storage to transfer document through the Wide area network. Consecutively, the cloud-side agent receives the data and stores it in any preferred cloud storage location. Saturating even a 10Gbps network is possible by the DataSync agent.

 Multi-threaded paths

During the syncing process to extract the most from the bandwidth, AWS DataSync utilizes many threads in a single path to work parallelly. Besides, the infrastructure manager handles the resource requirement for the backup process. It automatically adds agents to reduce the traffic in the client and server systems.  The unique network protocols carry out programmed procedures without manual intervention. This protocol is compatible with any type of storage architecture. It optimizes the network by performing sparse file detection and in-line compression.

Shielded migration

There are several possibilities of data loss and hijacking as the internet is used as the medium for transfer. Hence, AWS Data sync encrypts the files before migration through the network. The Amazon FSx encryption keys perform encryption when a file is in transit or at rest. AWS DataSync validates the information in source and destination to ensure consistency across the storage. Automating tasks is possible using a command-line interface and console. Besides, the CloudWatch produces the summary of tasks performed based on various metrics.