Moving to the cloud is no longer a trend; it is the default. The question now is different: which provider should you choose? The three largest players host most of the world's cloud infrastructure. In this aws vs azure vs google cloud comparison, we highlight each one's strengths and the criteria that truly matter.
An overview of the three providers
AWS (Amazon Web Services)
The market pioneer, launched in 2006, AWS has the broadest catalog, with more than 200 services. In addition, it has the largest community, the biggest pool of certified professionals and documentation for almost any scenario.
Microsoft Azure
Azure stands out in companies that already use Microsoft products such as Windows Server, SQL Server, Active Directory and Microsoft 365. Integration with the enterprise ecosystem and hybrid cloud options are its main advantages.
Google Cloud (GCP)
Google Cloud is known for data, analytics and artificial intelligence. Services such as BigQuery and Google's experience with Kubernetes, which it created internally, attract data- and container-focused teams.
AWS vs Azure vs Google Cloud: criterion by criterion
- Breadth of services: AWS leads; Azure follows closely; GCP is leaner but very strong in data.
- Global regions: all three operate dozens of regions worldwide, which helps with latency and data residency.
- Enterprise integration: Azure is the natural choice for Microsoft environments.
- Data and AI: GCP stands out with BigQuery and Vertex AI; AWS and Azure offer equivalent services and access to large AI models.
- Kubernetes: Google's GKE is a benchmark; EKS and AKS are also mature.
- Talent pool: AWS has the largest supply of specialists.
Pricing: what really drives the bill
Comparing price lists directly is misleading, because each provider has different discounts and models. In practice, the final cost depends on:
- Usage commitments: reserved instances and savings plans cut costs by up to 70% compared with on-demand pricing.
- Egress traffic: data transfer to the internet is often a hidden and significant cost.
- Licensing: companies with existing Microsoft licenses can reuse them on Azure at a discount.
- Startup credits: all three offer programs with generous first-year credits.
Therefore, model your real scenario in the official pricing calculators before deciding.
How to choose: practical criteria
- Current ecosystem: if your company lives in the Microsoft world, Azure reduces friction.
- Application profile: data- and AI-heavy projects may get more out of GCP.
- Team: consider which platform your team already knows and is certified in.
- Specific services: list your critical services and confirm availability in your target region.
- Support and partners: evaluate the support plan and the presence of local partners.
Is multicloud worth it?
Using more than one cloud reduces dependence on a single vendor. However, it increases complexity, demands more expertise and can raise costs. For most small and mid-sized companies, focusing on one provider while using portable technologies such as containers and Terraform is the most sensible balance.
What about smaller clouds?
Providers such as DigitalOcean, Hetzner and Vultr offer simpler, lower pricing for traditional web applications. They are good options for websites, internal systems and projects that do not need the full catalog of the big clouds.
Frequently asked questions
Which cloud is the cheapest?
There is no single answer. Cost depends on usage patterns, negotiated discounts and traffic. Always model your own scenario.
Can I switch clouds later?
Yes, but the effort depends on how much your application relies on proprietary services. Containers and infrastructure as code make migration much easier.
Conclusion
In the aws vs azure vs google cloud race, there is no universal winner. AWS offers breadth, Azure offers enterprise integration and Google Cloud shines in data and AI. Choose based on your ecosystem, critical services and team experience. If you need help planning a migration or cutting cloud costs, WDS Developer can support you.
