Snowball Edge Client

The Snowball Edge Client is a terminal application for Snowball Edges that you can use to unlock, setup and administer devices.

We recommend using the latest Linux or Mac clients which support the Advanced Encryption Standard New Instructions (AES-NI) extension to the x86 instruction set architecture. This improves speeds for encrypting or decrypting data during transfers between the Snowball Edge device and your Mac or Linux workstations.

  AWS Snowball Edge Client
Windows 7 or higher Download
Mac OS X 10.10 or higher
Linux (Ubuntu version 12 or higher, and RHEL version 6 or higher)

Learn when and how to use the service for your migration and computing needs.


This document provides best practices for AWS Snowball Edge bulk data transfers between on-premises data centers and the AWS Cloud. This data migration guide applies only to Snowball Edge devices. It does not apply to AWS Snowball devices.


In this blog post, we share the best practices that our customers are using to achieve an efficient and cost-effective migration with Snowball Edge.


Learn when and how to use the service for your migration and computing needs

See Werner Vogels, Amazon CTO, introduce EC2 instances on Snowball Edge at the 2018 New York Summit

How AWS thinks about making the cloud secure. Snowball Edge content starts at 8:55 and again at 17:00

A video walkthrough of the steps required to move a database using Snowball Edge

AWS partner DDBest moves their Oracle database to Amazon Aurora PostgreSQL using Snowball Edge

See Andy Jassy, AWS CEO, introduce the Snowball Edge at re:Invent 2016

Watch the re:Invent 2016 session and hear how customers are using these devices to migrate and pre-process data 


Learn about key data migration services, including the AWS Snow family, AWS DataSync, and CloudEndure, and view an interactive discussion about common customer use cases. Learn which technologies are best for your various needs, and how they work.

Learn how AWS Snowball Edge support for compute functions, such as Lambda, helps accelerate data transfers, execute custom applications, and reduce overall storage costs. This compute capability enables applications to run at remote locations, on moving vehicles, or in industrial IoT environments to help increase productivity.


You can move large volumes of data from your facilities to the cloud with AWS. Learn how you can do this with online or offline transfer services including AWS Storage Gateway, AWS Snowball and AWS Snowball Edge, or Amazon EFS.


Free Training

This intermediate, e-learning course is about 1.5 hours. It covers common use cases for AWS Snowball Edge to determine if this is the right choice for a specific project. The self-paced course addresses the Snowball Edge device types and job types for your use cases as well as Snowball Edge physical features, security features, and hardware resource capabilities.

Take the training »

This 1 hr 25 min course will help customers learn about the AWS Regions where Snowball Edge device is available, time frames for receiving and using the device, and how Snowball Edge pricing works. The course will also cover the customer requirements for networking and infrastructure and data set/data transfer activities.

Take the training »

This course teaches learners how to use the device to transfer data using the AWS Command Line Interface (AWS CLI). The course also teaches how to complete a Snowball Edge job and ship the device back to AWS.

Take the training »



Provides a conceptual overview of how to use a AWS Snowball Edge device, and includes guidance for local storage and compute, clustering, importing and exporting data into Amazon S3, and other features.


Describes all the job and shipping API operations for Snowball and Snowball Edge devices in detail. Also provides sample requests, responses, and errors for the supported web services protocols.

Blog posts

No blog posts have been found at this time. Please see the AWS Blog for other resources.

Learn more about AWS Snowball Edge pricing

Visit the pricing page
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