Azure and AWS differ in various ways, and here are the key differences between them:
Cloud Storage
Azure and AWS are strong contenders in terms of cloud storage. They offer different offerings. Amazon Web Services (AWS) offers various storage services, such as Elastic Block Store (EBS), Amazon Simple Storage Service (S3), Glacier, etc. On the other hand, Azure offers disk storage, blob storage and standard archive.
By using AWS S3, customers gain from a secure, scalable and robust storage solution for structured and unstructured data use cases. In comparison, Azure offers data storage in Azure Queues, Azure Blogs, Azure Tables, Azure Disks and Azure Files. AWS has a 5 TB object size restriction, while Azure has a 4.75 TB limit.
Data Privacy and Security
AWS has excellent security alternatives and settings by default, which ensures enhanced privacy.
In contrast, Azure uses Microsoft’s Cloud Defender service for data privacy and security. This is an artificial intelligence-powered solution that protects data against new and potential threats.
Usage and Documentation
AWS is highly usable and apt for first-time cloud platform adopters. The dashboard is user-friendly and feature-rich. It also offers extensive documentation for its cloud services. However, adding users and access rules is more difficult in AWS.
In contrast, Azure keeps all the user accounts and details in one place, though its documentation and recommendation system is less search-friendly.
Computer Power Provision and Usage
Scalability is an issue associated with cloud computing, and to address this, AWS uses elastic cloud computing (EC2). In E2C, the resource footprint available will increase or decrease on demand due to elastic cloud computing resource provisioning. EC2 users may construct their virtual machines (VMs), pick machine images (MIs), pre-configured or modify MIs, and change the power, size, and memory of the VMs required.
Azure users can create Virtual Machines from a virtual hard disc (VHD). It uses virtual scale sets to enable load balancing and provide scalability.
Licensing and License Mobility
Azure and AWS follow a pay-as-you-go pricing structure, where customers pay only for the services they use. If they have already paid for the service, they are qualified for license mobility in Microsoft Azure. Although Azure is easy to set up for Windows Administrators, AWS is more feature-rich and configurable.
Both AWS and Azure have identical services, but Azure has a greater number of SaaS (software as a service) features. This includes offerings like Azure site recovery, Azure scheduler, and more. However, AWS leads in terms of adaptation and flexibility to the open-source community and revenue generation.
Networking
Cloud users must have a secure and isolated network. Azure and AWS have different approaches to creating isolated networks. AWS’ Virtual Private Cloud (VPC) generates isolated private networks. Then, API or Application programming interface gateways are used for cross-premises connectivity.
During network connectivity, elastic load balancing ensures smooth operation. Within a VPS, users have various possibilities for creating private IP ranges, route tables, etc. In contrast, Azure uses a virtual network instead of a VPC. A Virtual private network (VPN) gateway offers cross-network communication.
Logging and Monitoring
AWS uses SageMaker, which logs model metrics and historical data via CloudWatch. CloudWatch converts the data into a usable format and retains the information for 15 months. It allows the user to track model behavior and make modifications or updates as required.
Azure ML Studio uses MLFlow to monitor and record data. With visual presentation and graphical features, the overall procedure is intuitive. Users can set up automated logging for convenient recording, ending the need to log statements explicitly. However, the Azure mechanism is ahead regarding simplicity of use and data presentation.
Open Source Development
AWS is compatible with Linux and offers various integrations for varied open-source applications, making it a good option for open-source developers.
On the other hand, Azure is a good option for corporate customers as it allows them to use existing Active Directory accounts to sign on to Azure and implement apps based on the .net framework on Linux, Windows, and macOS environments. Azure is still in the process of embracing the open-source community, contributing to AWS's domination of the open-source cloud space.
Deploying Applications Process
Cloud providers ease in deploying applications and benefit users in developers' roles to deliver their applications on various servers virtually by using the platform as a service (PaaS). Azure supports this by offering multiple app deployment options, including container services, cloud services, batches, functions, etc. In contrast, AWS offers options like Elastic Beanstalk, Lambda, Batch, etc., but lacks a few features when it comes to app hosting.
Containerization and Container Orchestration Support
AWS provides multiple container services such as mobile application development, IoT, etc., and it provides native Docker support for containerization. Azure offers Hadoop support through Azure HDInsight. Windows and Hyper-V containers can be merged with Docker in Azure with Windows Server 2016.
Containerized apps in Azure run using App Service, which is quite complex as you must run the container inside of a web app. In AWS, apps run through Elastic Beanstalk, which supports Docker files through a command-line interface.