AWS vs. Azure - Object Storage Overview

Object storage is a general purpose term used to represent the storing of unstructured data. The goal of this post is to compare features/concepts of Azure Blob storage to AWS S3.

Object Organization

Objects are organized in buckets Objects are organized in Accounts and Containers

The term “bucket” as it relates to object storage is a term almost as old as the term “cloud computing”. In AWS, a bucket is effectively described as a container for objects. They are the highest level of organization for objects.

Because buckets are the only organization option available, general settings such as versioning, ACLs, default encryption, replication, logging, and lifecycle are set at this level.

In Azure, you create storage accounts that have child resources called containers. All blobs must live in a container. At a high level, account level settings are similar to the bucket level settings for AWS with the exception of access policies. In general, access policies are set/maintained at the container level.

Object Versioning

AWS Azure
Format ID Date/Time Stamp
Creation Method Bucket version setting Snapshot operation

In Azure, versioning is handled by taking snapshots of objects when one wants a particular version to be retained. These snapshots are tied to particular blob, and are denoted by a date/time stamp. Users are prevented from deleting blobs with snapshots unless all the snapshots are deleted at the same time. Snapshots are the result of an operation call against a blob, and are not done automatically by the system.

In AWS, automatic versioning of blobs is a bucket level settings. When enabled, blob put/delete requests automatically create new versions. Versions are denoted by a version ID, and blobs are uniquely referenced by the combination of the key (object name) and the version ID.

Object Metadata

System/Custom Tags System/Custom Tags

Both AWS and Azure make use of similar mechanisms to apply metadata to blobs in storage. Further, in both cases, there is a combination of system generated metadata, and custom metadata.

For more information on AWS metadata, please see

For more information on Azure metadata, please see


About Shamir Charania

Shamir Charania, a seasoned cloud expert, possesses in-depth expertise in Amazon Web Services (AWS) and Microsoft Azure, complemented by his six-year tenure as a Microsoft MVP in Azure. At Keep Secure, Shamir provides strategic cloud guidance, with senior architecture-level decision-making to having the technical chops to back it all up. With a strong emphasis on cybersecurity, he develops robust global cloud strategies prioritizing data protection and resilience. Leveraging complexity theory, Shamir delivers innovative and elegant solutions to address complex requirements while driving business growth, positioning himself as a driving force in cloud transformation for organizations in the digital age.

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