Cloud

by Swapnil Sharma

September 25, 2026

AWS vs. Azure vs. Google Cloud Migration: How to Choose the Right Platform

Executive Summary

Three cloud platforms dominate most enterprise conversations: AWS, Azure, and Google Cloud. Each brings different strengths to the table, from AWS’s broad service ecosystem to Azure’s Microsoft integration and Google Cloud’s AI, ML, and data capabilities.

In this guide, we’ll compare AWS vs Azure vs Google Cloud across key areas such as services, pricing, AI, security, scalability, and workload fit to help you understand which platform aligns with your business needs.

Imagine your business is ready to move to the cloud. Your team starts researching, and suddenly you’re looking at three familiar names: AWS, Azure, and Google Cloud.

At first, they can seem almost identical. All three offer computing, storage, databases, AI, security, analytics, and tools for building modern applications. So the real question isn’t simply “Which cloud is better?”

It’s “Which cloud makes the most sense for us?”

The answer can depend on the technologies you already use, the workloads you plan to migrate, your budget, compliance requirements, and where you want your technology stack to go next.

This guide breaks down AWS vs Azure vs Google Cloud to help you understand their key differences and choose a platform based on your actual business and technical requirements.

“The right cloud isn’t the one with the most features. It’s the one that fits your business, workloads, and team.”

AWS vs. Azure vs. Google Cloud at a Glance

Dimension	AWS	Azure	Google Cloud
Market Position	Largest cloud provider	Strong #2 enterprise position	Strong #3, growing rapidly
Best Known For	Broadest range of cloud services	Microsoft ecosystem & hybrid cloud	AI/ML, data & analytics
Pricing	Flexible but complex	Strong value for Microsoft customers	Competitive pricing & commitments
Best For	Diverse, large-scale workloads	Microsoft-heavy enterprises	AI, data & cloud-native workloads
Hybrid Cloud	Strong	Major strength	Strong
AI & ML	Broad AI services	Strong enterprise AI	Strong AI & ML capabilities
Global Reach	Extensive global infrastructure	Extensive regional coverage	Strong global coverage
Learning Curve	Steeper due to service breadth	Moderate	Moderate
Key Advantage	Service breadth & maturity	Microsoft integration	AI, data & Kubernetes

In simple terms

AWS → Choose when you need maximum service breadth and flexibility.
Azure → Consider when your business already relies heavily on Microsoft technologies.
Google Cloud → Consider when AI, data analytics, or cloud-native development is central to your roadmap.

Planning Your Cloud Migration?

Choose the right cloud platform and build a migration strategy around your business needs.

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Market Share & Growth

AWS

Azure

Google Cloud

Others

Market share tells only half the story. Growth rates in 2026 are running in the opposite direction of market share, AWS is growing around 18–19% year over year, Azure around 40%, and Google Cloud around 63%, largely on the back of AI infrastructure demand. AWS’s lead in total share is real, but the gap is narrowing, not widening.

Pricing Models Compared

Pricing Factor	AWS	Azure	Google Cloud
Main Options	On-Demand, Savings Plans, Reserved Instances, Spot	Pay-as-you-go, Reservations, Hybrid Benefit, Spot	Pay-as-you-go, CUDs, Spot, Sustained Use
Maximum Compute Savings	Up to 72% with EC2 Savings Plans	Up to 76% with Azure Hybrid Benefit for eligible Linux workloads	Up to 70% with eligible CUDs
Best For	Predictable workloads and flexible infrastructure	Businesses with existing Microsoft licenses	AI, data and predictable cloud workloads
Key Pricing Consideration	More options, but pricing can be complex	Microsoft licensing can significantly affect total cost	Discounts depend on workload and commitment period

Compute, Storage & Core Services

Area	AWS	Azure	Google Cloud
Core Strength	Broadest service catalog	Strong Microsoft integration	Clean, cloud-native services
Compute	EC2, ECS, EKS	Virtual Machines, AKS	Compute Engine, GKE
Storage	S3, EBS, EFS	Blob Storage, Disk Storage	Cloud Storage, Persistent Disk
Databases	RDS, DynamoDB, Aurora	Azure SQL, Cosmos DB	Cloud SQL, Spanner, Firestore
Containers	ECS, EKS	AKS	GKE
Best Fit	Complex and varied workloads	Microsoft-based enterprises	Cloud-native, data and AI workloads
Main Trade-off	Huge choice can add complexity	Best value often depends on Microsoft ecosystem	Fewer options can mean less flexibility
Need Help Managing It?	Explore Cloud Infrastructure Management to manage cloud resources, performance, security, and infrastructure efficiently.

AI & Machine Learning Capabilities

Area	AWS	Azure	Google Cloud
Key AI Services	SageMaker, Bedrock	Azure AI, Azure OpenAI	Vertex AI, BigQuery
AI Strength	Broad AI services and model choice	Enterprise AI and OpenAI integration	AI/ML and data analytics
AI Infrastructure	Trainium, Inferentia, GPUs	AI infrastructure, GPUs	TPUs, GPUs
Best Fit	Flexible, general-purpose AI	Microsoft-focused enterprises	AI and data-intensive workloads
Need AI Expertise?	Explore AI & ML Development Services for building and integrating AI solutions across cloud environments.

The right cloud platform depends on your existing infrastructure, application architecture, data requirements, AI roadmap, budget, and compliance needs. AWS, Azure, and Google Cloud can all support enterprise workloads, but the best fit varies from one migration to another.

Before choosing a provider, assess your current applications, dependencies, data, security requirements, and expected cloud usage. A structured Cloud Migration Strategy can help you decide what to migrate, what to modernize, and which cloud environment fits each workload.

If you are already running workloads across multiple providers, Multi-Cloud Management can help bring greater visibility, governance, and cost control across your cloud environment.

For organizations that need ongoing support after migration, Cloud Infrastructure Management can help manage infrastructure, performance, security, and resource optimization.

The goal isn’t simply to move to the cloud. It’s to choose a cloud environment that supports where your business is going next.

Security & Compliance

Area	AWS	Azure	Google Cloud
Certifications	PCI DSS, SOC 2, ISO 27001 and more	PCI DSS, SOC 2, ISO 27001 and more	PCI DSS, SOC 2, ISO 27001 and more
Key Strength	Broad global compliance coverage	Strong government and regulated-industry support	Strong security-by-default approach
Industry Fit	Global and highly regulated businesses	Government, healthcare and enterprises	Data, AI and cloud-native businesses
Key Advantage	Wide regional certification coverage	FedRAMP, HIPAA and Microsoft security ecosystem	Encryption by default and strong built-in security controls

Abstract cloud diagram with connected nodes, a gear icon, and a checkmark on blue shapes in the cloud.

Not Sure Which Cloud Platform Fits Your Business?

Azilen helps you assess your workloads, costs, and migration needs to choose the right cloud strategy.

Talk to a Cloud Expert

Hybrid & Multi-Cloud Support

Area	AWS	Azure	Google Cloud
Key Services	AWS Outposts, AWS multi-cloud tools	Azure Arc, Azure Stack	Google Distributed Cloud
Hybrid Cloud	Strong on-premises AWS infrastructure	Strongest focus on hybrid environments	Strong hybrid and edge capabilities
Multi-Cloud	Broad management and integration options	Azure Arc supports multi-cloud management	Strong Kubernetes-based multi-cloud management
Best Fit	Businesses needing AWS services across environments	Enterprises with significant on-premises Microsoft infrastructure	Kubernetes, hybrid and cloud-native environments

When Should You Choose AWS, Azure, or GCP?

Cloud Platform	Choose It If...
AWS	You have varied, complex workloads needing many different services You want a wide talent pool and partner ecosystem You need broad global compliance coverage You're building a general-purpose product without a specific cloud dependency
Azure	Your company already runs Windows Server, Active Directory, or SQL Server You want Hybrid Benefit pricing on existing licenses You're in government, healthcare, or another regulated sector You want governed enterprise access to OpenAI models
Google Cloud	Your product is AI/ML-heavy or data-analytics-first You want native AI tooling such as Vertex AI and BigQuery You value a simpler, more opinionated service catalog You need GPU/TPU access for training at scale

What to Check Before Choosing a Cloud Provider?

Choosing between AWS, Azure, and Google Cloud goes beyond comparing features and pricing. Before starting your cloud migration, consider these five factors to find the platform that best fits your workloads and long-term goals.

A businessman in a suit stands on a terrace, reviewing a row of cloud icons labeled Technology Stack, Workload Requirements, Security & Compliance, Cloud Costs, and Future Growth against a city skyline with AWS, Azure, and Google Cloud logos nearby.

→ Existing Technology Stack: Check your current applications, databases, tools, and integrations to find the strongest platform compatibility.

→ Workload Requirements: Evaluate your compute, storage, database, AI, analytics, and scalability requirements before selecting a provider.

→ Security & Compliance: Review data residency, industry regulations, certifications, encryption, identity management, and security requirements.

→ Cloud Costs: Compare infrastructure, storage, data transfer, licensing, discounts, and long-term commitments to understand your actual costs.

→ Future Growth: Consider your AI roadmap, geographic expansion, increasing workloads, and evolving technology needs when making your decision.

How Does Azilen Help with Cloud Migration?

Choosing the right cloud platform is only the first step. Azilen helps businesses assess their workloads, plan migration strategies, modernize applications, and manage cloud environments across AWS, Azure, and Google Cloud.

As an enterprise AI development company, Azilen combines cloud engineering, automation, and modernization expertise to help businesses manage cloud spending effectively.

→ Cloud Assessment: Analyse applications, infrastructure, dependencies, and workloads to identify the right migration approach.

→ Cloud Migration Strategy: Build a practical roadmap based on business goals, workload requirements, security, and cost considerations.

→ Application & Infrastructure Migration: Move applications, data, and infrastructure while minimizing disruption and maintaining performance.

→ Cloud Modernization: Modernize legacy applications with cloud-native architecture, containers, automation, and scalable services.

→ Multi-Cloud Management: Manage workloads across multiple cloud providers with better visibility, governance, and operational control.

→ Ongoing Optimization: Monitor performance, security, and cloud usage to keep your environment efficient as it grows.

With Cloud Migration Services, Azilen helps businesses move to the right cloud platform with a structured approach built around their technology and business needs.

Choose the Right Cloud Platform for Your Business.

Talk to Our AI Experts

FAQs: Cloud Migration Cost

1. Which is better for cloud migration, AWS, Azure, or Google Cloud?

There is no universal choice. AWS suits broad workloads, Azure works well for Microsoft environments, and Google Cloud is strong for AI, data, and cloud-native workloads.

2. Is AWS cheaper than Azure or Google Cloud?

Not necessarily. Cloud costs depend on workload, region, usage, commitments, data transfer, and licensing. Compare your specific workloads rather than headline prices.

3. Which cloud provider is best for AI and machine learning?

All three offer strong AI capabilities. Google Cloud has strong AI and data services, AWS offers broad AI services, while Azure provides strong enterprise and OpenAI integration.

4. Which cloud is best for Microsoft-based businesses?

Azure is often a natural fit for organizations already using Microsoft technologies such as Windows Server, SQL Server, Microsoft 365, and Active Directory.

5. Can businesses use AWS, Azure, and Google Cloud together?

Yes. A multi-cloud strategy can use different providers for different workloads, but it requires consistent management of security, costs, data, and governance.

6. What should I consider before choosing a cloud provider?

Evaluate your existing technology stack, workload requirements, security and compliance needs, cloud costs, and future growth plans before making a decision.

Related Insights on Cloud Management

1. Step-by-Step NeoCloud Migration Roadmap

2. Must-Know Cloud Optimization Strategies

3. Cloud Cost Optimization Using GenAI

4. Cloud Computing in Banking

5. Cloud Computing Role in Edge AI

6. Managed Cloud Services

Swapnil Sharma Vice President – Strategic Consulting

Swapnil Sharma is VP – Strategic Consulting at Azilen Technologies with expertise in digital transformation, presales, and business strategy. He has led 750+ RFPs and helps organizations drive technology-led growth through consultative solutions.

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Swapnil Sharma

VP - Strategic Consulting

Swapnil Sharma is a strategic technology consultant with expertise in digital transformation, presales, and business strategy. As Vice President - Strategic Consulting at Azilen Technologies, he has led 750+ proposals and RFPs for Fortune 500 and SME companies, driving technology-led business growth. With deep cross-industry and global experience, he specializes in solution visioning, customer success, and consultative digital strategy.