AWS vs Azure vs Google Cloud: Which Is Right for Your Business?

A comprehensive, vendor-neutral comparison of the three major cloud providers — with a clear recommendation for each type of business.

TL;DR: AWS wins on service breadth, global reach, and ecosystem. Azure wins for Microsoft-heavy organisations and enterprise agreements. GCP wins for AI/ML and data analytics. For most UK startups and SMEs without a strong Microsoft dependency, AWS is the pragmatic default. If you're a.NET shop on Active Directory, Azure saves money and complexity.

Why the Choice Matters More Than You Think

Choosing a cloud provider is not like choosing a SaaS tool you can cancel next month. Once your team's skills, your CI/CD pipelines, your managed databases, your IAM model, and your monitoring stack are built around one provider, switching costs are enormous — both in time and money. The decision deserves serious analysis, not a coin flip or a choice driven purely by which sales team gave the best lunch.

In 2026, AWS holds approximately 31% of global cloud market share, Azure around 25%, and GCP around 12%. The remaining share is split across Alibaba Cloud, Oracle Cloud, and smaller providers. All three have matured enormously — the days of clear capability gaps are largely gone. The differentiation now is in specific service areas, pricing models, and ecosystem fit.

AWS: Amazon Web Services

AWS launched in 2006 and has been the market leader ever since. It offers over 200 fully managed services — more than any other provider. The breadth is genuinely unmatched: from niche services like AWS Ground Station (satellite data downlink) to foundational compute, storage, and networking services used by millions of organisations worldwide.

Strengths: largest partner ecosystem, most community documentation and Stack Overflow answers, best-in-class serverless (Lambda), strongest managed container services (ECS, EKS), most global regions (33 as of 2026), and the de facto standard for startup infrastructure. AWS has the largest selection of instance types for compute-optimised, memory-optimised, and GPU workloads.

Weaknesses: pricing is notoriously complex and can surprise you with data transfer costs. The console UI is functional but not beautiful. IAM, while powerful, has a steep learning curve. Customer support (outside Enterprise tier) can be slow.

Microsoft Azure

Azure is Microsoft's cloud platform, launched in 2010. Its strongest differentiator is deep integration with the Microsoft ecosystem — Active Directory (now Entra ID), Office 365, Teams, SQL Server,.NET, Visual Studio, and Power Platform all work seamlessly with Azure. For organisations running Windows Server, SQL Server, or heavily invested in Microsoft tooling, Azure Hybrid Benefit alone can reduce compute costs by 40 to 49 percent.

Strengths: best Active Directory integration (Azure AD/Entra ID), strongest hybrid cloud story (Azure Arc manages on-premise and multi-cloud), excellent enterprise agreements and licensing flexibility, strong UK public sector presence and government cloud, competitive AI services via OpenAI partnership (Azure OpenAI Service).

Weaknesses: some services lag AWS in maturity. Regional availability for newer services can be slower outside the US. The portal UI is powerful but complex. Some enterprise agreements are difficult to optimise without specialist knowledge.

Google Cloud Platform (GCP)

GCP is Google's cloud offering, built on the same infrastructure that runs Search, Gmail, and YouTube. Its heritage in large-scale distributed systems gives it genuine technical advantages in specific areas — particularly analytics, AI/ML, and Kubernetes (which Google invented and open-sourced).

Strengths: BigQuery is the best-in-class managed data warehouse, Vertex AI and Tensor Processing Units (TPUs) give genuine AI/ML advantages, GKE is the most mature managed Kubernetes service, networking performance is superior (Google's private global backbone), and sustained-use discounts apply automatically without upfront commitment.

Weaknesses: smaller service catalogue and partner ecosystem than AWS or Azure. Enterprise sales and support have historically been criticised. Fewer global regions than AWS. Some services have been deprecated unexpectedly (Google's reputation for killing products is a genuine concern for long-term bets).

Full Comparison Table

Category AWS Azure GCP
Market share (2026) ~31% ~25% ~12%
Pricing model Per-second (most services), complex Per-second, enterprise agreement discounts Per-second, automatic sustained-use discounts
Compute (VMs) EC2 — widest instance variety Azure VMs — strong Windows support Compute Engine — competitive pricing
Object storage S3 — industry standard Azure Blob Storage Google Cloud Storage
Managed SQL database RDS (MySQL, Postgres, SQL Server, Aurora) Azure SQL, Azure Database for PostgreSQL Cloud SQL, AlloyDB for PostgreSQL
NoSQL / document DB DynamoDB, DocumentDB Cosmos DB (multi-model) Firestore, Bigtable, Spanner
Data warehouse Redshift Azure Synapse Analytics BigQuery — best-in-class
AI/ML platform SageMaker — mature MLOps Azure ML + OpenAI Service Vertex AI + TPUs — best raw ML
Kubernetes (managed) EKS AKS GKE — most mature (Google invented K8s)
Serverless compute Lambda — market-defining Azure Functions Cloud Functions, Cloud Run
Global regions (2026) 33 regions 60+ regions 40+ regions
UK/EU data centres London (eu-west-2), Ireland, Frankfurt UK South, UK West, West Europe, North Europe London, Belgium, Netherlands, Frankfurt
Free tier Generous 12-month + always-free tier 12-month free + £150 credit $300 credit for 90 days + always-free tier
Support (paid) Developer/Business/Enterprise tiers Developer/Standard/Professional Direct/Unified Basic/Standard/Enhanced/Premium
Migration tools AWS Migration Hub, Application Migration Service, DMS Azure Migrate, Database Migration Service Migrate for Compute Engine, Database Migration Service
Microsoft integration Basic (Windows VMs work, no native AD) Native and deeply integrated Basic (Windows VMs work)

Cost Comparison: A Typical 3-Tier SaaS Workload

To make the cost comparison concrete, let's look at a representative 3-tier web application: a load balancer, 2x web/app servers (4 vCPU, 16 GB RAM), a managed PostgreSQL database (4 vCPU, 16 GB, 500 GB storage), and 1 TB object storage with moderate egress (100 GB/month). All figures are approximate UK region on-demand pricing.

Component AWS (London) Azure (UK South) GCP (London)
2x App servers (4vCPU/16GB) ~£210/mo (m6i.xlarge) ~£220/mo (D4s v5) ~£185/mo (n2-standard-4)
Managed PostgreSQL ~£310/mo (RDS db.m6g.xlarge) ~£295/mo (Azure DB for PG) ~£275/mo (Cloud SQL)
Load balancer ~£18/mo (ALB) ~£16/mo (Standard LB) ~£14/mo (Cloud Load Balancing)
1 TB object storage + egress ~£28/mo (S3) ~£24/mo (Blob) ~£22/mo (GCS)
Total (on-demand) ~£566/mo ~£555/mo ~£496/mo
With 1-year commitment ~£390/mo (Savings Plan) ~£380/mo (Reserved) ~£370/mo (CUDs)

The cost differences at this scale are relatively minor (within 15%). At larger scale with reserved capacity commitments, GCP's automatic sustained-use discounts and committed-use discounts often produce the lowest bill. Azure wins decisively if you bring existing Windows Server or SQL Server licences under Azure Hybrid Benefit.

Managed Services by Category

Service Category AWS Azure GCP
Cache ElastiCache (Redis/Memcached) Azure Cache for Redis Memorystore
Message queue SQS, SNS, EventBridge Service Bus, Event Grid, Event Hubs Pub/Sub, Cloud Tasks
CDN CloudFront Azure Front Door / CDN Cloud CDN
CI/CD CodePipeline, CodeBuild Azure DevOps, GitHub Actions Cloud Build, Cloud Deploy
Secrets management Secrets Manager, Parameter Store Key Vault Secret Manager, KMS
Monitoring CloudWatch Azure Monitor, Application Insights Cloud Monitoring, Cloud Logging

The SpiderHunts Recommendation

Start with AWS if you are a startup or SME without strong Microsoft dependencies. The ecosystem, documentation, and talent market make it the easiest provider to hire for and find help with. Choose Azure if your organisation runs Active Directory, SQL Server, Office 365, or is a.NET development shop — the integrated tooling and Hybrid Benefit savings are too significant to ignore. Choose GCP if your primary workload is data analytics, machine learning at scale, or you are building a product that needs BigQuery's performance and cost profile.

Avoid the trap of choosing a provider based on which sales team offers the most credits. Credits run out; switching costs don't.

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