Both AWS and Azure are robust cloud platforms with different strengths, catering to diverse needs and use cases.
Attribute | Amazon Web Services (AWS) | Microsoft Azure |
---|---|---|
Compute Services | Elastic Compute Cloud (EC2) provides virtual servers (instances) with a variety of operating systems, software packages, and instance types. | Virtual Machines (VMs), Virtual Machine Scale Sets, Azure App Service, Azure Functions, Azure Container Instances, Azure Kubernetes Service (AKS), Azure Batch, Azure Dedicated Hosts |
Storage Options | Simple Storage Service (S3) for object storage. | Blob Storage (Hot and Cool tiers), File Storage, Queue Storage, Table Storage, Disk Storage (Standard HDD, Standard SSD, Premium SSD, Ultra Disk) |
Database Offerings | AWS Relational Database Service (RDS) simplifies the setup, operation, and scaling of relational databases in the cloud. RDS supports various database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. | Azure SQL Database (serverless compute tier) |
AI/ML Services | AWS SageMaker is a fully managed platform that enables developers and data scientists to build, train, and deploy machine learning (ML) models at scale. | Azure Cognitive Services, Azure Machine Learning, Azure AI Infrastructure |
Serverless Computing | AWS Lambda is a serverless computing service that lets you run code without managing servers. | Azure Functions, Azure Logic Apps |
Security Features and Compliance | AWS has strong security features, including encryption, identity and access management (IAM), and network security. AWS complies with various industry-specific regulations and standards, such as PCI DSS, HIPAA, GDPR, and FedRAMP. | Azure Active Directory (Azure AD), Azure Policy, Azure Blueprints, Azure Firewall, Azure Security Center, Microsoft Purview, Compliant with HIPAA, GDPR, ISO 27001, FedRAMP, and SOC 1/2/3 |