Vercel vs AWS: Where to Host Your Digital Product

Choosing where to host your product isn't a minor technical detail: it determines how long a deploy takes, how much you pay as you grow, and how many people you need to keep the infrastructure running. In almost every software project, the question boils down to two names: Vercel or AWS.

The short answer: it depends on your product's architecture and whether you have a dedicated DevOps team. There's no platform that's "better" in the abstract — there's one that solves your specific case better.

The Question That Decides Everything: How Standard Is Your Architecture?

Before comparing features, answer this: is your product a modern web app (frontend + serverless functions + managed database), or do you need something more specific — long-running processes, queues, GPUs, deep integrations across dozens of services, or a particular compliance regime?

• Standard architecture (web app, SaaS, client portal): Vercel gets you almost all the way there with minimal operational friction.
• Non-serverless architecture or specific requirements: that's where AWS (or more complex infrastructure in general) becomes the right choice.

The rest of this comparison adds nuance, but this is the main fork in the road.

What Vercel Does Well

At Cambalache Studio, we use Vercel for our own stack and for most of the products we build for clients. We say this plainly because it's true, not because we have anything to gain by saying it. Here's why:

• Git-connected deploys. Every push to a branch generates a preview with its own URL; every merge to main deploys to production. Zero server configuration.
• Excellent developer experience, especially with Next.js (our default framework): serverless functions, edge functions, caching, and optimized images all come solved out of the box.
• Zero infrastructure maintenance. No servers to patch, no load balancers to configure, no runtime versions to update by hand.
• Automatic scaling. If your product gets a traffic spike, Vercel scales without anyone touching a dial. With Fluid Compute (its on-demand compute engine), usage adjusts to actual demand instead of paying for idle instances.
• Preview deployments. Every pull request gets its own URL for the team or the client to review before approving — a perfect fit for any approval process on a product still in progress.

Vercel's ceiling: it's optimized for the "frontend + serverless functions" pattern. If your product needs processes that run for hours, complex message queues, databases you manage yourself at a low level, or sustained GPU compute, that's not its natural territory.

What AWS Does Well

AWS is the choice when you need full control over your infrastructure:

• Practically unlimited service coverage. Compute, storage, networking, queues, containers, managed or self-hosted databases, machine learning — if an architecture pattern exists, AWS has a service built for it.
• Non-serverless architectures. Long-running processes, persistent workers, GPU jobs, systems that need fine-grained control over networking and memory — everything Vercel's serverless model isn't built to run.
• Specific compliance. Regulated industries (healthcare, finance, government) often need certifications, network controls, and audit trails that AWS's catalog covers in much more depth. If your product is a fintech, we've already covered this in Fintech MVP in Latin America: regulation shapes part of the architecture, and that's where AWS's muscle outweighs the convenience of a managed platform.
• Better economics at massive scale. With heavy traffic and a team that knows how to fine-tune each service, AWS usually ends up costing less per unit than a managed platform — but those savings depend on having the expertise to pull it off.

The cost of that flexibility: you need real cloud expertise (or a dedicated DevOps team) to configure, secure, and maintain all of it. A poorly built AWS setup ends up more expensive and more fragile than any managed platform.

The Comparison at a Glance

How to Decide for Your Case

• Startup or founder launching an MVP or SaaS: Vercel. You launch faster, without diverting budget or focus toward infrastructure you don't need yet.
• SMB digitizing an internal process or a client portal: Vercel is usually more than enough here too — it's the same "web app + managed database" pattern we use in most of our SMB digitization projects.
• Product with long-running processes, queues, or heavy compute (ML, video, GPU): AWS, or a provider specialized in that specific workload.
• Regulated industry with specific compliance requirements: AWS, for the depth of its certifications and controls.
• You already have serious traction and a DevOps team: that's when the math changes — migrating fully or partially to AWS can lower your cost per unit, following the same logic as moving from a generic tool to something custom-built once scale justifies it, as we covered in Bubble vs. Custom Development.

About Costs

Both have accessible entry-level tiers and scale with usage, but pricing plans for functions, data transfer, and compute change frequently on both platforms. Don't lock yourself into a number from a blog post: check current pricing for each before budgeting. What does hold up as a rule of thumb: at low and medium scale, Vercel's total operational cost — without needing anyone to administer servers — tends to be lower than a poorly sized AWS setup, even if the nominal price per function looks higher in a direct comparison. At massive scale, with a team that knows how to fine-tune each service, the equation flips.

It's Not a Decision You Make Forever

Just like with development tools, this isn't a choice you make once and forget. Many products start on Vercel because they need speed and product focus, then migrate — fully or partially — to AWS once the architecture demands it: a specific worker, a data pipeline, a new compliance requirement. It's perfectly valid to run both in parallel: frontend and standard functions on Vercel, and a specific service running on AWS.

Conclusion

It's not Vercel or AWS in the abstract: it's which one better fits the architecture and team you have today. If you're launching a product and your priority is speed without adding operational overhead, Vercel wins almost every time — it's what we use ourselves and what we recommend for most of the MVPs and portals we build. If your product needs non-serverless architectures, specific compliance, or you already have a DevOps team that can get the most out of AWS, that's where AWS becomes the right choice. What doesn't make sense is choosing based on trends or because "that's what big companies use": infrastructure has to serve the product, not the other way around. If you're still defining your product's scope before thinking about where to host it, start with how much an MVP costs.