AWS vs GCP vs Azure: The Complete 2026 Comparison

The big picture

AWS, Google Cloud, and Microsoft Azure control the vast majority of the cloud market. AWS leads on breadth and maturity, Azure on enterprise and Microsoft integration, and Google Cloud on data and AI engineering.

There is no universal "best" — the right choice depends entirely on your workload, team, and existing stack.

At a glance

AWS — Best for: breadth, startups, maximum credit leverage. Strengths: 200+ services, biggest community, largest credit tiers. Watch out for: complexity and a steep learning curve.

Azure — Best for: enterprises, Windows/.NET shops, OpenAI access. Strengths: Microsoft 365 / Active Directory integration, exclusive GPT-4. Watch out for: a portal that can feel sprawling.

Google Cloud — Best for: data, analytics, and ML teams. Strengths: BigQuery, Vertex AI, TPUs, the most mature managed Kubernetes (GKE). Watch out for: a smaller service catalog than AWS.

Pricing compared

For raw compute, the three are broadly comparable, with Google Cloud often 10–20% cheaper than AWS and Azure slightly above GCP. None of them are cheap — Oracle and Hetzner undercut all three dramatically.

Where they differ is credit availability. AWS offers the largest credit tiers (up to $100K), making it the best choice when you need maximum credit leverage.

AI and machine learning

Google Cloud leads for ML engineering with Vertex AI, TPUs, and the deepest data tooling. Azure is the exclusive home of Azure OpenAI (GPT-4, DALL-E). AWS offers Bedrock (Claude, Llama) and SageMaker. For OpenAI models, choose Azure; for open-model training, choose GCP.

Compute, databases, and Kubernetes

For general compute the three are close, but the details matter. AWS EC2 has the widest instance selection and deepest spot market. Google Cloud bills per second and gives automatic sustained-use discounts. Azure shines for Windows licensing via Hybrid Benefit. For managed Kubernetes, GKE is the most mature and hands-off; EKS is powerful but more manual; AKS sits in between with the best Azure-AD integration.

On managed databases, AWS offers the most engines (Aurora, RDS, DynamoDB, Redshift). Google Cloud counters with Spanner (global, strongly consistent) and the unmatched BigQuery for analytics. Azure leads if you live in SQL Server.

Which should you choose?

Choose AWS for the broadest service catalog, largest community, and maximum credit tiers. Choose Azure for Microsoft-ecosystem teams, Windows/.NET, and GPT-4 access. Choose Google Cloud for data analytics, ML engineering, and the best managed Kubernetes.

Many teams run multi-cloud, picking the best tool from each. Cloudrix offers verified accounts for all three.