When a company considers migrating or expanding its cloud infrastructure, the first question is usually "which provider is cheapest?" That is the wrong question. Compute price per hour is only part of the real cost, and deciding on that alone tends to get expensive later.
Total cost of ownership includes support, the time your own team spends managing the platform, data egress costs if you ever need to switch providers, and the impact of an SLA that does not match what your business actually needs. A migration that looks cheap on paper can end up costing more in incidents and engineering hours than a slightly pricier, better-supported option.
There is no universal answer, but there are common patterns. AWS tends to win on breadth of services and maturity for complex, multi-region architectures. Azure makes sense when a company already lives in the Microsoft ecosystem. GCP often stands out for data and AI workloads, with very mature analytics and machine learning tooling.
IONOS is worth considering when data sovereignty within the European Union is a non-negotiable requirement — European data centers, contracts under European law, and a simpler, more predictable pricing model than the big hyperscalers. It is especially appealing for SMEs that prioritize regulatory compliance and ease of management over sheer breadth of services.
The best infrastructure is not the one with the best reputation in the abstract — it is the one that fits your workloads, your current team and your three-year roadmap. Before signing anything, an architecture review that lays out these factors with real numbers for your case is worth the time.
Tell us about your case. Together we assess whether it makes sense to invest in technology, how, and where to start.
