Data Transfer from Amazon S3 Glacier Vaults to Amazon S3

Automatically copy your Amazon S3 Glacier vault archives to an S3 bucket and storage class of your choice

Overview

Data Transfer from Amazon S3 Glacier Vaults to Amazon S3 restores, copies, and transfers archives stored in an Amazon Simple Storage Service Glacier (Amazon S3 Glacier) vault to an S3 bucket and storage class of your choice, including the S3 Glacier storage classes. This AWS Solution simplifies the use of your data by automating the transfer process, making archived data more accessible and cost-effective.

Note:


Amazon S3 Glacier storage classes, including Glacier Deep Archive, Glacier Flexible Retrieval, and Glacier Instant Retrieval, are different from the S3 storage classes. Visit this webpage to learn more about these storage classes.

Benefits

Transfer automation

Automation saves time and minimizes the likelihood of human error during the data transfer process, helping ensure a more reliable and consistent operation.

Enhanced data utilization and analysis

Transferring data from Amazon S3 Glacier vaults to S3 buckets facilitates easier data analysis and utilization. Data is more readily accessible for applications and analytics tools, without extended restore times. 

Data accessibility, simplified

Amazon S3 storage classes allow for tagging and quicker access to your data. Tagging benefits include data classification, fine-grained access control, lifecycle management, and cost allocation.

Cost optimization

For data that is rarely accessed, the Amazon S3 Glacier Deep Archive storage class can save almost 75% on storage costs in the AWS US East (Ohio) Region compared to an S3 Glacier vault. 

Technical details

You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template.

What is Amazon S3 Glacier?

S3 Glacier is a secure and durable service for low-cost data archiving and long-term backup using vaults.

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Use cases for this AWS Solution
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Deployment options
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Deploy this solution by launching it in your AWS Console

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