AWS vs Azure vs GCP comes down to fit, not a leaderboard. AWS offers the widest service catalog and the most mature ecosystem, Azure is the natural home for Microsoft-heavy estates, and Google Cloud (GCP) leads on data analytics, machine learning, and Kubernetes. The right cloud for your migration is the one that matches what you already run.
All three are excellent, production-grade platforms. The mistake teams make is picking on brand or headline price instead of on workload fit — and then paying for it in re-engineering and cloud bills for years.
AWS vs Azure vs GCP at a glance
The fastest way to narrow the field is to match each provider's strengths against your current stack:
| AWS | Azure | GCP | |
|---|---|---|---|
| Best for | Broad / Linux estates, breadth of services | Microsoft / Windows / .NET estates | Data, ML, and Kubernetes workloads |
| Service catalog | Widest, most mature | Broad, Microsoft-integrated | Focused, strong in data + AI |
| Existing-license reuse | Limited | Strong (Windows, SQL Server, AD) | Limited |
| Market maturity | Largest, deepest partner pool | Strong enterprise footprint | Smaller but fast-growing |
| Standout strengths | Ecosystem, reliability, flexibility | Hybrid + identity (Active Directory) | BigQuery, GKE, AI/ML tooling |
No row makes one cloud "win." The column that matters is the one that lines up with your applications, your licenses, and your team's skills.
When AWS is the right cloud
An AWS cloud migration is the safe default for a heterogeneous or Linux-heavy estate. AWS has the largest service catalog, the deepest partner ecosystem, and the most battle-tested migration tooling, so there's rarely a workload it can't host. Its dedicated AWS migration services — Application Migration Service, Database Migration Service, and Migration Hub — cover most rehost and replatform paths out of the box. Choose AWS when you value breadth and flexibility, run a mix of operating systems, or want the widest pool of engineers and references to draw on.
When Azure is the right cloud
An Azure cloud migration wins when your estate is built on Microsoft. If you run Windows Server, .NET, SQL Server, and Active Directory, Azure lets you reuse existing licenses, keep one identity model, and lift hybrid workloads with less re-engineering. Azure Migrate gives you assessment and server/database migration in one hub, and Azure Hybrid Benefit alone can shift the cost math materially. For Microsoft shops, the migration is shorter and the bill is often lower.
When GCP is the right cloud
GCP is the strongest fit for data-centric and container-native workloads. If your roadmap centers on analytics, machine learning, or Kubernetes, BigQuery and Google Kubernetes Engine are best-in-class, and GCP's sustained-use discounts reward steady compute. It's a smaller ecosystem than AWS, but for data and AI teams that focus is a feature, not a limitation.
What about cost?
There's no universally cheapest cloud. List prices for compute and storage are broadly similar across AWS, Azure, and GCP — the difference shows up in your specific workload mix, data egress, reserved-capacity commitments, and licenses you already own. Azure can be cheapest for Microsoft estates; GCP's discounts favor steady workloads; AWS's granularity lets you tune each service. The only honest answer for your aws vs azure vs gcp decision is to model your real usage across all three over a three-year horizon — not to trust a sticker price.
The decision, in order
Work through these, top to bottom:
- What do you run today? — Microsoft-heavy leans Azure; data/Kubernetes leans GCP; broad or Linux leans AWS.
- What licenses do you already own? — Reusable Microsoft licenses tilt strongly toward Azure.
- Where are your team's skills? — Migrating and retraining at once is risk on top of risk.
- What does compliance require? — Check region availability and certifications for your industry.
- What's the three-year total cost? — Model it on real workloads, including egress and managed services, not just VM hourly rates.
This is exactly the analysis our cloud migration services team runs before recommending a platform. Because we're vendor-neutral — certified on AWS, Azure, and GCP but tied to none — the recommendation follows your workloads, not a sales quota. And because the team is senior nearshore out of Monterrey on a flat fee, not an offshore India or Dubai shop, you get the comparison and the migration in your time zone, with your cloud accounts staying yours.
The bottom line
There is no single best cloud — only the best cloud for your migration. Let your existing stack make the first cut: Microsoft estates lean Azure, data and Kubernetes lean GCP, and broad or Linux-heavy estates lean AWS. Then validate with a real cost-and-skills model. If you'd rather not pick blind, a vendor-neutral nearshore partner can run the comparison against your actual workloads and migrate you on the cloud that genuinely fits.
