AWS vs Azure vs Google Cloud: Which Should You Choose?
Key takeaway
AWS offers the broadest services and maturity; Azure is strongest for Microsoft-centric enterprises and hybrid; Google Cloud leads on data, analytics, and ML. The best choice usually follows your existing stack, team skills, and workload type — not raw feature counts.
All three hyperscalers can run almost any workload. The real decision is about fit — your existing tools, your team's skills, and where your workloads are heaviest.
Where each is strongest
- AWS: the broadest, most mature service catalog and ecosystem — a safe default at scale.
- Azure: deep Microsoft integration (AD, .NET, Office) and strong hybrid/on-prem options.
- Google Cloud: leading data, analytics, and ML tooling (BigQuery, Vertex AI).
Cost and lock-in
Headline prices are similar; your bill is driven by architecture, data egress, and how many managed services you adopt. The more proprietary services you use, the more switching costs you accept — a reasonable trade for velocity if you go in with eyes open.
How to choose
Start from your current stack and skills, then match the provider to your dominant workload. Multi-cloud is rarely worth the complexity for smaller teams. We help teams choose and set up the platform that fits — without over-engineering.