Home Industry News Microsoft expands Azure Data Box family with Edge and Gateway products
Microsoft expands Azure Data Box family with Edge and Gateway products

Microsoft expands Azure Data Box family with Edge and Gateway products


As Dean Paron Director, Azure Data Box, explains in his blog, Microsoft have announced general availability of the Data Box Family, also adding new products including the Azure Data Box Edge and the Azure Data Box Gateway, as well as introducing the 1 PB Azure Data Box Heavy option.

Dean describes:

Data Box Edge, an on-premises appliance with AI-enabled edge compute capabilities.

Data Box Edge acts as a storage gateway, creating a link between your site and Azure storage. This makes moving data into and out of Azure storage as easy as working with a local network share. Data Box Edge provides a local cache and optimizes network traffic to and from the cloud.

Data Box Edge also provides a computing platform via IoT Edge, which lets you deploy Azure services and custom code and applications to the edge. This means that you can analyze, filter, or transform your data right at the edge as part of your workflow. And to accelerate machine-learning workloads, Data Box Edge will have FPGA option powered by Microsoft’s Project Brainwave.

The Data Box Family

Mathew Dickson joins Donovan Brown to discuss the Data Box family of solutions to meet the challenge of moving data to the cloud. Azure Data Box offline devices help you transfer large amounts of data to Azure when the network isn’t an option. Data Box online products act as network storage gateways to intelligently manage data between your site and Azure.

Case Study

With Data Box Edge, Microsoft is adding online capabilities to the Azure Data Box family and integrating the compute capabilities of Azure IoT Edge, a solution used by customers such as Cree.

Due to their tremendous growth, Cree needed a storage solution capable of keeping up with their business needs. By using Data Box Edge, they have been able to support their growth by storing data in the cloud.

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