CLOUD
AWS vs Azure vs Google Cloud: which platform fits your business best?
Choosing a cloud platform is no longer a technology decision — it's a business-model decision. The platform you pick shapes your cost structure, your hiring pool, your security posture, and how fast you can ship for the next decade.
Where each platform wins
Every week we sit with Houston and Austin executives asking the same question: which cloud? The honest answer is that all three hyperscalers can run almost any workload. The differences that matter are at the edges — pricing models, ecosystem fit, and the gravitational pull of the tools your teams already use.
AWS still offers the broadest service catalog and the deepest third-party ecosystem, which makes it the default for teams that want maximum optionality. Azure wins wherever Microsoft already runs the business — identity, productivity, and licensing advantages compound quickly. Google Cloud leads in data analytics and machine-learning tooling, and its pricing is often the most aggressive for compute-heavy workloads.
The platform you pick shapes your cost structure, your hiring pool, and how fast you ship — for a decade.
The questions that actually decide it
- Where does your identity and productivity stack live today?
- Which platform do the engineers you can realistically hire already know?
- What do your data-residency and compliance obligations require?
- Is your workload steady-state or bursty — and which pricing model rewards that shape?
Multi-cloud: strategy or tax?
Multi-cloud sounds like insurance, but for most mid-market enterprises it functions as a tax — duplicated tooling, split expertise, and weaker volume discounts. Our guidance: pick a primary platform deliberately, design for portability at the data layer, and add a second cloud only when a concrete workload demands it.
Key takeaways
- All three hyperscalers can run your workloads — decide on ecosystem fit, not feature lists.
- Azure compounds value where Microsoft already runs the business.
- Google Cloud is the analytics and ML price-performance leader.
- Choose one primary cloud; keep portability at the data layer.
Ready to pressure-test your cloud decision? Our cloud practice runs a two-week platform assessment that maps your workloads, licensing, and team skills to a recommended target — with a migration roadmap you can act on.