AWS and Azure offer essentially the same basic capabilities around flexible compute, storage, networking, and pricing. Both share the common elements of a public cloud. As per the 2022 State of Cloud Report, public cloud is the top priority for 38% of surveyed organizations. Businesses are increasingly opting for a cloud based environment for the reliability and cost effective benefits it provides.

Today, AWS and Microsoft Azure offer hundreds of competitive cloud solutions encompassing countless products and services.

Comparing Amazon Web Services vs Microsoft Azure compute capabilities, we are focused primarily on virtual machines (VMs). Both AWS and Azure adopt a similar approach to VMs. But if we dig into two services, you’ll discover they use different terminology for their individual compute offerings. AWS’ principal computing solution is its EC2 instances, which offer flexible computing on request and can be tailored for various applications. Microsoft, on the other hand, refers to its compute product as Azure Virtual Machines.

Some of the differences between AWS and Azure:

  • A key functionality of cloud service providers is their storage capability. Both AWS and Azure are strong in this category and include all the basic features such as REST API access and server-side data encryption. Azure’s storage mechanism is referred to as Blob storage, and AWS’s is called Simple Storage Service (S3).


  • Security will be the primary considerations when choosing a cloud provider. AWS and Azure are renowned for their robust security stance and the implementation of cutting-edge security. Both continually invest in cyber security research and development to deliver a secure platform.


  • In terms of pricing, AWS and Azure both offer reasonable pricing and a pay-as-you-go pricing model. AWS provides a pay-as-you-go model and charges per hour, while Azure’s pricing model is also pay-as-you-go, which charge per minute.


  • Both AWS and Azure have their perspective on the creation of isolated networks. Users can build separate networks inside the cloud using AWS’ Virtual Private Cloud (VPC). Azure leverages a virtual network instead of a VPC. A virtual private network (VPN) gateway provides cross-network communication.


  • Both AWS and Azure have machine learning studios for machine learning (ML) model development. AWS’s SageMaker gives total freedom and flexibility in creating ML models. Azure ML Studio is primarily focused on providing a codeless experience.



Compare Azure and AWS is extremely difficult as both continue to launch new pricing structures, new products, and new integrations. The decision to choose either of the platforms depends on the needs of organizations how AWS vs. Azure comparison meets those requirements.


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