Cloud choice debate: AWS, GCP, Vercel

Choosing a cloud provider in 2026 is less about a feature checklist than about how much infrastructure a team can actually run. Amazon Web Services still sits closest to the industry default. (aws.amazon.com) Amazon Web Services remains the largest cloud infrastructure provider, with about 30% of the global market in the second quarter of 2025, according to Synergy Research figures cited by multiple industry trackers. Amazon also said there were more than 1.42 million active Amazon Web Services certifications as of January 2025. (cargoson.com, aws.amazon.com) That scale shows up in hiring and operations: a company that picks Amazon Web Services can usually find more engineers, more third-party tools, and more documented patterns for production systems. Amazon says 89% of information-technology leaders employing Amazon Web Services certified staff reported faster troubleshooting. (aws.amazon.com) Google Cloud Platform occupies a different lane. Google says Kubernetes, the open-source system for running containers across many servers, was developed at Google and released in 2014, and its Google Kubernetes Engine was the first fully managed Kubernetes service. (cloud.google.com, cloud.google.com) That history helps explain why Google Cloud Platform is often treated as the natural home for teams building around Kubernetes or machine-learning infrastructure. In the second quarter of 2025, Google Cloud held about 13% of the cloud infrastructure market, far behind Amazon Web Services but large enough to anchor specialized workloads. (cargoson.com, cloud.google.com) Vercel is not a like-for-like replacement for the biggest clouds. Its pitch is managed infrastructure that deploys web apps, routes traffic through a global content delivery network, and runs backend code as functions without asking a small team to assemble servers, networking, and scaling rules first. (vercel.com, vercel.com) That makes Vercel attractive to very small startups that want one platform for the website, application programming interface routes, and lightweight backend jobs. Vercel’s current pricing pages show a free Hobby tier and usage-based compute charges on paid plans, including Active Central Processing Unit and memory billing under its Fluid compute model. (vercel.com, vercel.com) The trade-off is control. Amazon Web Services and Google Cloud Platform expose far more infrastructure knobs, regions, and service combinations, while Vercel trades some of that flexibility for defaults that let a team ship with fewer platform decisions. (aws.amazon.com, cloud.google.com, vercel.com) The argument in the recent posts is really about organizational fit. A two-person startup can save weeks by avoiding cloud architecture work, while a larger company with compliance, networking, or multi-service needs may still prefer the bigger clouds that dominate production environments. (vercel.com, cargoson.com) So the practical split is straightforward: Amazon Web Services for the broadest hiring market and default production patterns, Google Cloud Platform for teams centered on Kubernetes and Google’s tooling, and Vercel for small teams that want the platform to make more decisions for them. (aws.amazon.com, cloud.google.com, vercel.com)