Skip to main content
Comparisons/AWS vs Azure

AWS vs Azure: A Comprehensive Cloud Comparison for 2026

Amazon Web Services (AWS) and Microsoft Azure are the two largest cloud platforms in the world, collectively commanding over 50% of the global cloud infrastructure market. AWS, launched in 2006, was the first major public cloud and remains the market leader with roughly 31% share. Azure, generally available since 2010, holds approximately 25% and has been the fastest-growing hyperscaler for several consecutive years. Choosing between them is rarely straightforward because both platforms offer deep, mature service catalogs spanning hundreds of individual products.

This comparison breaks down the key differences between AWS and Azure across compute, storage, databases, networking, serverless, and pricing. Whether you are planning a greenfield migration, evaluating a multi-cloud strategy, or simply trying to understand how these two giants stack up, this guide provides the practical details you need to make an informed decision.

Provider Overview

AWS (Amazon Web Services)

AWS offers over 200 fully-featured services from data centers spanning 33 geographic regions and 105 availability zones. It pioneered many cloud service categories including elastic compute (EC2), object storage (S3), managed NoSQL (DynamoDB), and serverless compute (Lambda). AWS is known for its breadth of services, granular configuration options, and vast partner ecosystem. The platform tends to follow a "builder" philosophy, providing low-level primitives that engineers compose into custom architectures.

Microsoft Azure

Azure operates across 60+ regions worldwide, the largest geographic footprint of any cloud provider. It integrates deeply with the Microsoft ecosystem including Active Directory, Microsoft 365, Dynamics, and Windows Server. Azure is particularly strong in enterprise environments where organizations already rely on Microsoft licensing, hybrid cloud deployments via Azure Arc, and developer tooling through Visual Studio and GitHub integration. Azure tends to favor higher-level abstractions and managed platform services.

Compute Comparison

Virtual Machines

AWS Elastic Compute Cloud (EC2) provides over 750 instance types spanning general-purpose (M-series), compute-optimized (C-series), memory-optimized (R-series), storage-optimized (I/D-series), accelerated computing (P/G-series), and high-performance computing (Hpc-series) families. EC2 instances can run on Intel, AMD, and AWS-designed Graviton processors. Graviton4 instances, in particular, offer up to 40% better price-performance over comparable x86 instances for many workloads.

Azure Virtual Machines similarly cover general-purpose (D-series), compute-optimized (F-series), memory-optimized (E/M-series), storage-optimized (L-series), and GPU (N-series) families. Azure supports Intel, AMD, and its own Cobalt 100 ARM-based processors. Azure also offers confidential computing VMs using AMD SEV-SNP and Intel TDX for workloads requiring hardware-level data protection during processing.

Both platforms support spot/preemptible instances for cost savings (AWS Spot Instances vs Azure Spot VMs), reserved capacity commitments, and dedicated hosts for compliance requirements. The pricing models are comparable, though AWS offers per-second billing on most instances while Azure bills per-second for Linux and per-minute for Windows VMs.

Containers

For Kubernetes, AWS offers Elastic Kubernetes Service (EKS) while Azure provides Azure Kubernetes Service (AKS). AKS has a notable advantage in that the control plane is free; you only pay for worker nodes. EKS charges $0.10 per hour for the control plane plus worker node costs. Both support managed node groups, auto-scaling, and integration with their respective container registries (ECR and ACR).

For simpler container workloads, AWS offers ECS (its proprietary orchestrator) and Fargate (serverless containers), while Azure provides Azure Container Instances (ACI) for single-container tasks and Azure Container Apps for microservices built on Dapr and KEDA. AWS Fargate and Azure Container Apps are the most directly comparable serverless container options.

Serverless

AWS Lambda supports runtimes including Node.js, Python, Java, .NET, Go, and Ruby, with up to 10 GB of memory and 15-minute execution limits. Azure Functions supports a similar set of runtimes and adds PowerShell and custom handlers. Azure Functions has a Durable Functions extension that provides stateful workflows natively, while on AWS you would pair Lambda with Step Functions for similar orchestration. Both platforms price serverless compute on request count and execution duration.

Storage Comparison

Object Storage

Amazon S3 is the industry standard for object storage, offering multiple storage classes: S3 Standard, Intelligent-Tiering, Standard-IA, One Zone-IA, Glacier Instant Retrieval, Glacier Flexible Retrieval, and Glacier Deep Archive. S3 provides 11 nines (99.999999999%) of durability and features like S3 Object Lock, versioning, replication, and event notifications.

Azure Blob Storage offers Hot, Cool, Cold, and Archive access tiers with similar durability guarantees. Azure provides lifecycle management policies, immutable storage, and blob versioning. One distinctive Azure feature is the ability to set access tiers at the individual blob level within a single container, whereas S3 manages tiering at the object level or through Intelligent-Tiering policies. Pricing is broadly comparable, though Azure tends to be slightly cheaper for egress in certain regions.

Block Storage

AWS Elastic Block Store (EBS) offers gp3 (general-purpose SSD), io2 Block Express (provisioned IOPS), st1 (throughput-optimized HDD), and sc1 (cold HDD) volume types. Azure Managed Disks provides Premium SSD v2, Premium SSD, Standard SSD, Standard HDD, and Ultra Disks. Both platforms support snapshots, encryption at rest, and cross-region replication. Azure Ultra Disks and AWS io2 Block Express target the most IOPS-intensive workloads like SAP HANA and large databases.

File Storage

AWS offers Amazon EFS (NFS-based, elastic) and FSx (managed Windows File Server, Lustre, NetApp ONTAP, and OpenZFS). Azure provides Azure Files (SMB and NFS) and Azure NetApp Files. Azure Files has a particular advantage for Windows-centric environments because it supports SMB 3.1.1, Azure AD authentication, and can serve as a replacement for on-premises Windows file shares. AWS FSx for Windows File Server provides similar capability but requires more explicit Active Directory configuration.

Database Comparison

Relational Databases

AWS offers Amazon RDS (supporting MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server), Amazon Aurora (MySQL and PostgreSQL compatible with up to 5x throughput improvement), and Amazon Redshift for data warehousing. Azure provides Azure SQL Database (a fully-managed SQL Server offering), Azure Database for MySQL/PostgreSQL, and Azure Synapse Analytics for warehousing.

Aurora is often cited as a differentiator for AWS because it provides a cloud-native relational database with automatic storage scaling, multi-AZ replication, and up to 15 read replicas with sub-10ms replica lag. Azure SQL Database counters with Hyperscale tier, serverless compute tier, and deep integration with the SQL Server tooling ecosystem that many enterprise teams already know.

NoSQL Databases

AWS DynamoDB is a fully-managed key-value and document database known for single-digit millisecond latency at any scale. It offers on-demand and provisioned capacity modes, global tables for multi-region replication, and DynamoDB Streams for change data capture. Azure Cosmos DB provides multi-model support (document, key-value, graph, column, and table) with multiple consistency levels from strong to eventual. Cosmos DB's turnkey global distribution with five well-defined consistency models is a genuine differentiator for globally distributed applications.

Networking Comparison

Both platforms provide virtual private networks (AWS VPC vs Azure VNet), load balancers, CDN services, DNS management, and VPN/ExpressRoute connectivity. AWS networking tends to offer more granular control with features like VPC peering, Transit Gateway, PrivateLink, and Gateway Load Balancer. Azure networking integrates well with on-premises Active Directory environments and offers Azure Front Door as an integrated global load balancer with WAF and CDN capabilities.

For content delivery, AWS CloudFront operates across 600+ points of presence globally, while Azure CDN (backed by Microsoft's network, Verizon, or Akamai) provides comparable global reach. Both support custom SSL certificates, WebSocket connections, and real-time logging. One operational difference is that CloudFront integrates with Lambda@Edge and CloudFront Functions for edge compute, while Azure CDN pairs with Azure Front Door Rules Engine for request manipulation at the edge.

Pricing Comparison

Both AWS and Azure offer pay-as-you-go pricing, reserved instances (1- or 3-year commitments for 30-72% discounts), and spot/preemptible pricing for fault-tolerant workloads. AWS provides Savings Plans that offer flexibility across instance families and regions, while Azure offers Reserved VM Instances and Azure Savings Plan for Compute.

Azure has a meaningful licensing advantage for organizations with existing Microsoft Enterprise Agreements. Azure Hybrid Benefit lets you apply existing Windows Server and SQL Server licenses to cloud VMs, reducing costs by up to 85% when combined with reserved instances. AWS offers its own License Mobility program but it is more limited in scope.

Data egress pricing is a significant factor for both platforms. AWS charges $0.09/GB for the first 10 TB of outbound data transfer (after a 100 GB free tier), while Azure charges $0.087/GB for the same tier. Both providers have been gradually reducing egress costs under competitive pressure. For workloads with heavy outbound data transfer, this cost can be the largest line item on a monthly bill.

AI and Machine Learning

AWS offers Amazon SageMaker for end-to-end ML workflows, Bedrock for managed foundation models, and a broad set of AI services (Rekognition, Comprehend, Transcribe, Polly, Lex). Azure counters with Azure Machine Learning, Azure OpenAI Service (exclusive partnership with OpenAI), and Cognitive Services. Azure's OpenAI integration gives it a distinctive advantage for organizations wanting to deploy GPT-4, DALL-E, and Whisper models within their own Azure tenant with enterprise security and compliance controls.

When to Choose AWS

  • You need the broadest service catalog and the most granular control over infrastructure configuration.
  • Your team has deep AWS expertise or you are building on AWS-specific services like DynamoDB, Aurora, or Graviton.
  • You are running large-scale data-intensive workloads and need mature tooling for cost optimization (Spot Fleet, Savings Plans, Compute Optimizer).
  • You prioritize a "build with primitives" approach and want maximum flexibility in architecture design.
  • Your workload is primarily Linux-based and does not depend on Microsoft enterprise tooling.

When to Choose Azure

  • Your organization already uses Microsoft 365, Active Directory, or Dynamics 365 and wants a unified identity and management plane.
  • You have existing Windows Server or SQL Server licenses and can take advantage of Azure Hybrid Benefit for significant cost savings.
  • You need a hybrid cloud strategy with seamless on-premises integration via Azure Arc and Azure Stack.
  • You want access to Azure OpenAI Service for deploying GPT and other foundation models within your enterprise security boundary.
  • Regulatory requirements favor Azure's extensive government cloud regions and compliance certifications.

Try Our Multi-Cloud Comparison Tools

Go beyond reading and run your own comparisons with our interactive tools. Each tool runs entirely in your browser with no data sent to any server.

Explore Provider Hubs

Dive deeper into each provider with our dedicated tool and guide collections:

  • AWS Tools & Guides — All AWS-specific tools including ARN parser, IAM policy linter, and cost estimators.
  • Azure Tools & Guides — Azure resource ID parser, RBAC analyzer, cost calculators, and more.
  • Multi-Cloud Tools — Cross-provider comparison tools for VMs, storage, serverless, and networking.