Choosing a cloud platform is one of the first big technical decisions a startup makes. Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) all offer reliable infrastructure, global data centres and hundreds of services. The right choice depends less on which is “best” and more on your product, your team’s skills and your growth plans. This guide compares the three for startups.
Quick overview
Amazon Web Services (AWS)
AWS is the longest-running and largest cloud provider, with the widest range of services and a huge community. It is a common default for startups because almost every tool, tutorial and engineer supports it.
- Strengths: broadest service catalogue, mature serverless (Lambda), large talent pool, extensive documentation
- Watch out for: a steep learning curve and a complex pricing model that needs monitoring
Microsoft Azure
Azure is a natural fit for businesses that already use Microsoft products such as Microsoft 365, Active Directory, SQL Server or .NET. It is popular with enterprises, which matters if you sell to large companies.
- Strengths: excellent .NET and Windows support, enterprise identity (Microsoft Entra ID), hybrid cloud, access to Azure OpenAI Service
- Watch out for: a portal and naming that can feel complex for small teams
Google Cloud Platform (GCP)
Google Cloud is known for data, analytics, AI and Kubernetes, the container platform that originated at Google. Many teams find its developer experience clean and its pricing straightforward.
- Strengths: BigQuery for analytics, Vertex AI, Google Kubernetes Engine (GKE), sustained-use discounts
- Watch out for: a smaller ecosystem and talent pool than AWS
Comparison for startups
| Factor | AWS | Azure | Google Cloud |
|---|---|---|---|
| Best for | Most startups, widest choice | Microsoft and .NET stacks, B2B enterprise sales | Data, AI and Kubernetes-heavy products |
| Serverless | Lambda | Azure Functions | Cloud Run, Cloud Functions |
| Kubernetes | EKS | AKS | GKE |
| Managed databases | RDS, Aurora, DynamoDB | Azure SQL, Cosmos DB | Cloud SQL, Firestore, Spanner |
| AI services | Bedrock, SageMaker | Azure OpenAI, Azure AI | Vertex AI, Gemini |
| Startup programme | AWS Activate | Microsoft for Startups | Google for Startups Cloud Program |
Free credits and startup programmes
All three providers run programmes that give eligible startups free cloud credits, technical support and training. Credit amounts and eligibility change often and may depend on your funding stage or an accelerator partner, so check each programme’s current terms before you decide. Credits can cover a large share of your first year’s infrastructure, which makes applying well worth the effort.
How to choose: 5 questions to ask
- What does your team already know? The platform your engineers are comfortable with will ship faster and with fewer mistakes.
- What is your tech stack? .NET and SQL Server teams often prefer Azure; data and machine-learning products often lean towards Google Cloud; most others are well served by AWS.
- Who are your customers? Enterprise buyers sometimes require a specific cloud or region for compliance.
- Which managed services do you need? Compare the specific database, AI or messaging services your product depends on.
- Can you avoid lock-in? Using containers (Docker), Kubernetes and infrastructure-as-code (such as Terraform) keeps your options open if you need to move later.
Keep cloud costs under control
- Set up billing alerts and budgets on day one
- Use auto-scaling so you only pay for capacity you use
- Shut down development and test environments outside working hours
- Choose managed and serverless services to reduce operations work
- Review your bill monthly and remove unused resources
Our recommendation
For most early-stage startups, any of the three will work well. Choose the one that matches your team’s skills and your product’s needs, apply for startup credits, and design your application with containers and infrastructure-as-code from the start. A clean, portable architecture matters more than the logo on your cloud bill.
Need help with cloud and DevOps?
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