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AWS vs Azure vs Google Cloud: Which Cloud Should Host Your Web App or SaaS Product?

Updated September 2026 · Written and maintained by the Progression Agency strategy team

Amazon Web Services, Microsoft Azure and Google Cloud offer the same categories of service under different names, with different strengths, pricing habits and ecosystems. This comparison is written for businesses choosing where a web application, SaaS product or company infrastructure should run, not for certification study: it covers compute, databases, serverless, managed Kubernetes, AI, pricing, compliance and the practical question of which one your team can operate.

On this page · 10 sections
  1. AWS vs Azure vs Google Cloud at a glance
  2. Compute and hosting for web apps
  3. Databases and data
  4. Serverless and edge
  5. AI and machine learning
  6. Pricing and cost control
  7. Compliance and regions
  8. Talent and ecosystem
  9. Which should you choose?
  10. How Progression Agency works with the clouds

The short answerChoose AWS when you want the widest service catalog, the largest talent pool and the most third-party integrations; it is the default for startups and most SaaS companies. Choose Azure when the organization runs on Microsoft (Microsoft 365, Active Directory, .NET, SQL Server) or has enterprise agreements that make it cheaper. Choose Google Cloud for data analytics (BigQuery), Kubernetes (GKE) and AI tooling, or when your team prefers its cleaner developer experience. For a small web app, none of the three is required: Vercel, Cloudflare or a VPS is simpler and cheaper until scale or compliance demands a hyperscaler.

Comparisons are based on each project’s official documentation as linked in the text. Progression Agency builds with all of the technologies compared and has no affiliate relationship with any of them.

AWS vs Azure vs Google Cloud at a glance

AWS launched in 2006 and remains the largest cloud provider by revenue, with Azure second and Google Cloud third, according to Synergy Research Group‘s market tracking. Service breadth follows the same order; developer experience is often ranked in the reverse order. Documentation: AWS, Azure, Google Cloud.

Equivalent services
CategoryAWSAzureGoogle Cloud
Virtual machinesEC2Virtual MachinesCompute Engine
Containers (managed Kubernetes)EKS (and ECS, Fargate)AKS (and Container Apps)GKE (and Cloud Run)
Serverless functionsLambdaAzure FunctionsCloud Functions / Cloud Run functions
App hosting (PaaS)Elastic Beanstalk, App Runner, AmplifyApp Service, Static Web AppsApp Engine, Cloud Run
Object storageS3Blob StorageCloud Storage
Relational databaseRDS, AuroraAzure SQL, Database for PostgreSQL/MySQLCloud SQL, AlloyDB, Spanner
NoSQLDynamoDBCosmos DBFirestore, Bigtable
Data warehouseRedshiftSynapse, FabricBigQuery
CDNCloudFrontAzure Front Door / CDNCloud CDN
IdentityIAM, CognitoEntra ID (Active Directory)IAM, Identity Platform
AI platformSageMaker, BedrockAzure AI, Azure OpenAI ServiceVertex AI, Gemini
Fit by need (1-5, editorial)
Each cloud leads somewhere; the operating team’s skills usually decide.

Compute and hosting for web apps

All three run a containerized Next.js, Django, Laravel or .NET app well. Google Cloud Run is the simplest container platform of the three for a small team; AWS App Runner and Azure Container Apps are the equivalents. For virtual machines the products are interchangeable; for Kubernetes, GKE is generally considered the most polished, EKS the most widely used, AKS the natural choice for Microsoft shops. See backend hosting options.

Databases and data

AWS RDS and Aurora, Azure Database for PostgreSQL and Google Cloud SQL all offer managed PostgreSQL and MySQL. Azure SQL is the home of SQL Server workloads. Google’s BigQuery is the standout analytics warehouse for teams without data engineers; AWS Redshift and Azure Synapse or Fabric serve the same purpose inside their ecosystems.

Serverless and edge

Lambda has the largest ecosystem and integrations; Azure Functions integrate with Microsoft services; Google Cloud Run (containers) and Cloud Functions are simple and scale to zero. None matches Cloudflare Workers for edge latency, which is why Cloudflare often sits in front of all three; see Cloudflare vs AWS.

AI and machine learning

Azure OpenAI Service gives enterprises OpenAI models under Microsoft’s compliance umbrella; AWS Bedrock offers a menu of models from several vendors plus SageMaker for training; Google’s Vertex AI and Gemini models pair with BigQuery for data-heavy work. For most product teams adding AI features, the choice follows where the data already lives. See AI integration services.

Pricing and cost control

List prices for comparable virtual machines and storage are close; the bill differs through data transfer out, support plans, reserved or committed-use discounts and enterprise agreements. Azure credits and Microsoft enterprise agreements can make it cheapest for Microsoft customers; Google’s sustained-use discounts apply automatically; AWS has the deepest savings-plan options. All three need budgets, alerts and tagging from day one. Pricing calculators: AWS, Azure, Google Cloud.

Compliance and regions

All three hold the major attestations (SOC 2, ISO 27001, HIPAA eligibility with a BAA, PCI DSS, FedRAMP for government regions). Region coverage is broadest on AWS and Azure. For healthcare, fintech and public-sector products the deciding factor is usually the organization’s existing compliance program rather than the provider. See healthcare software development and fintech software development.

Talent and ecosystem

AWS skills are the most common on the US market, Azure skills are concentrated in enterprises and consultancies, Google Cloud skills are rarer but strong in data teams. Third-party SaaS tools, marketplaces and tutorials follow the same order. For a company that will hire DevOps engineers, this matters more than any feature difference.

AWS — AWS. Breadth, talent, ecosystem..
Az — Azure. Microsoft integration and agreements..
GCP — Google Cloud. BigQuery, GKE, Vertex AI..
Edge — Add Cloudflare. In front of any of them..
Cost — Cost control. Budgets, tags, discounts..
Skill — Skills decide. Operate what you can staff..

Which should you choose?

AWS, Azure or Google Cloud?
SituationRecommendationWhy
Startup or SaaS with no existing platformAWSEcosystem, talent, integrations
Company running Microsoft 365, AD, .NET, SQL ServerAzureIdentity, licensing, enterprise agreements
Data-heavy product, analytics, ML pipelinesGoogle CloudBigQuery, Vertex AI, GKE
Small web app or marketing siteNone of the three yetVercel, Cloudflare or a VPS is simpler
Regulated enterprise with an existing cloud programWhichever the program coversCompliance inheritance
Team already skilled in oneThat oneOperating skill beats features

How Progression Agency works with the clouds

We build cloud-agnostic where practical (containers, Postgres, object storage, infrastructure as code) and deploy to the provider the client already uses or, for new products, to AWS by default with Cloudflare in front. We set up accounts, budgets and access in the client’s name. See cloud migration services, DevOps services and SaaS hosting.

Choosing a cloud for a product?

Tell us the stack, the data and the compliance needs; we will recommend a provider and a landing-zone design with estimated monthly cost.

Get a cloud recommendation

Frequently asked questions

Which is best: AWS, Azure or Google Cloud?
AWS for breadth and talent, Azure for Microsoft-centric organizations, Google Cloud for data and Kubernetes. The team’s skills usually decide.
Which cloud is cheapest?
List prices are close; the cheapest depends on discounts, data transfer and enterprise agreements. Model the actual workload in each calculator.
Which cloud is easiest to use?
Google Cloud is often rated the cleanest for developers; AWS has the most documentation and examples.
Which cloud has the most services?
AWS, followed by Azure, then Google Cloud.
Is Azure better for .NET applications?
Azure has the tightest integration with .NET, SQL Server and Entra ID, though .NET runs well on all three.
Is Google Cloud good for startups?
Yes, especially data and AI products; AWS remains more common for startups overall.
Do I need a hyperscaler for a web app?
Not at first. Vercel, Cloudflare, Render or a VPS are simpler and cheaper until scale or compliance requires more.
Which cloud is best for AI?
Azure for OpenAI models under enterprise compliance, AWS Bedrock for a multi-vendor menu, Google Vertex AI for Gemini and data pipelines.
Which cloud is best for Kubernetes?
GKE is widely considered the most polished; EKS the most used; AKS for Microsoft environments.
Can I use more than one cloud?
Yes, but multi-cloud adds cost and complexity; most companies pick one and add Cloudflare at the edge.
Are all three HIPAA compliant?
All three are HIPAA-eligible with a business associate agreement and correct configuration; compliance is the customer’s responsibility too.
How do I control cloud costs?
Budgets and alerts, tagging, right-sizing, reserved or committed discounts, and reviewing data transfer.
Which does Progression Agency recommend?
AWS by default for new products, Azure or Google Cloud when the client already runs them.
What is a landing zone?
A pre-configured, secure multi-account setup for a cloud provider, the starting point for enterprise use.
Can you migrate us between clouds?
Yes; see cloud migration services. Portable architectures (containers, Postgres, object storage) make it manageable.

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