Vercel vs AWS: what should startups actually use?

You are building a product. You need somewhere to run it. A senior engineer friend says "just put it on AWS." A founder friend says "just deploy on Vercel." Both are confident. Both think the other is wrong.

Neither is wrong, exactly. They are answering different questions.

Vercel and AWS are not two versions of the same product. They are two different layers of abstraction, built for two different kinds of teams with two different operational budgets. Picking between them in year one is less a "which cloud" question and more a "how much infra work do I want to own right now" question.

Most founders get this wrong in one direction. They start on AWS because it is "what real companies use," spend their first two weeks configuring VPCs and IAM roles, and fall behind on the thing that actually matters, which is shipping the product.

This post is a decision guide. By the end you will know which one to use today, when (and whether) to move, and how infra fits in the wider dev stack.

The quick answer

Use Vercel if:

• You are shipping a web product and want push-to-deploy, preview URLs, and zero ops.
• You are building on Next.js, which Vercel is purpose-built for.
• Your team is small and nobody has the bandwidth to run infrastructure.

Use AWS if:

• You have real backend services (workers, queues, custom runtimes, large file pipelines) that need more than a serverless platform gives you.
• You have an engineer who knows cloud infra well and actually wants to run it.
• You are already at scale and the AWS pricing curve is meaningfully better than platform markup.

Avoid overengineering infra if:

• You have not launched yet and you are "setting up infrastructure" instead of building.
• Your product is a web app with a database and nothing else clever happening.
• Nobody on the team has opinions about VPCs, and nobody wants to.

What each is actually good at

Skip the feature lists. Here is the shape in one sentence each.

Vercel is a deployment platform. Connect a GitHub repo, push to main, the site is live with a preview URL for every branch. It is purpose-built for Next.js and modern web frameworks, with an edge network, serverless functions, and sensible defaults baked in. The tradeoff is that you give up control over the underlying infra, and you pay a platform markup for the convenience.

AWS is raw cloud infrastructure. Compute (EC2, Lambda, ECS), storage (S3, EBS), databases (RDS, DynamoDB), networking (VPC, CloudFront), and hundreds of other building blocks. You compose the pieces yourself. The tradeoff is that you own the complexity, the security model, and the ops burden. At scale, the pricing can be meaningfully lower than a managed platform. At small scale, the operational cost dwarfs any savings.

Two products. Two very different operational models. The right one depends on which side of the "do I want to own this" question your team is on.

Where they really differ

A few things worth calling out.

Setup is orders of magnitude different. Vercel is five minutes. AWS is days of foundational work (VPCs, IAM, security groups, CI/CD, logging, monitoring) before you deploy a single endpoint. That work is valuable at scale. It is pure overhead at three people.

Dev experience is a real factor, not a soft one. Vercel's preview URLs per branch, push-to-deploy, and built-in observability change how fast a small team ships. Teams on AWS can build equivalent workflows, but building them is the work. Teams on Vercel get them for free.

Flexibility is AWS's real advantage. If you need Postgres on a specific version, a Redis cluster, a queue that processes a million jobs a day, a GPU workload, or a custom Docker runtime, AWS does all of it. Vercel does some, but it is built around web workloads, not arbitrary infrastructure.

Pricing curves are not comparable directly. Vercel charges a platform markup that feels high per user at scale. AWS looks cheap per unit but requires discipline to stay there (reserved instances, savings plans, right-sizing). Do not model specific numbers from memory. Verify on the deal pages: Vercel and AWS.

The infra maturity curve

The maturity curve matters more than the product comparison. Most startups that eventually run on AWS do not get there by replacing Vercel. They get there by adding AWS for specific workloads as they appear.

When to use each

Use Vercel when

• You are shipping a web application on Next.js, React, or a similar modern framework.
• You want automatic preview deployments per branch, integrated CI/CD, and observability without configuring anything.
• Your team is small and nobody wants to own cloud infra.
• Your workloads fit into the serverless model: web requests, API routes, light background jobs.
• Speed to iterate is your biggest lever.

Use AWS when

• You have backend services that need more than serverless functions: long-running workers, large file pipelines, custom runtimes, ML inference on GPUs.
• You have an engineer who knows AWS well and wants to run the infrastructure.
• You are already at scale and the difference between managed platform pricing and raw cloud pricing is material.
• Regulatory or compliance requirements dictate specific infra controls you cannot get on a platform.

Use neither yet when

• You are still prototyping and not sure anyone wants this.
• Your "infra" is a landing page and a waitlist. A static host is fine.
• You are setting up infra instead of building product. Come back when you have something to deploy.

Run both when

• Your web app lives on Vercel, your backend services live on AWS (or another cloud), and they talk over APIs.
• You have a data pipeline, ML workload, or compliance-driven infra that the platform cannot host, but the product UX is still best shipped through Vercel.

Hybrid is the actual end state for many teams. The decision is not "leave Vercel for AWS." It is "add AWS for the workloads Vercel cannot host well."

How this fits in your dev stack

Hosting does not live in isolation. It sits inside a small set of choices that make up a modern dev stack.

A few connections worth naming.

Hosting plus database is one decision. Supabase or a similar managed Postgres pairs cleanly with Vercel. You get a serverless frontend and a managed backend without running a server. For non-relational workloads, MongoDB serves the same role.

AI APIs live alongside, not under, your hosting. OpenAI and Anthropic APIs are called from your backend regardless of where the backend is hosted. The hosting choice does not change your LLM integration.

CDN and edge are largely solved on Vercel. If you are on AWS, you add CloudFront or Cloudflare explicitly. If you are on Vercel, it is built in.

Analytics is separate. The product analytics tool you pick (see the PostHog vs Mixpanel vs Amplitude comparison) is independent of your hosting choice. Both hosts let you instrument events cleanly.

For the full dev stack picture, see the startup dev stack guide and the year-one startup stack post, which shows where hosting fits across the first twelve months.

Common mistakes founders make

Starting with AWS too early. The most common mistake. Senior engineers default to AWS because that is what they know at scale. At three people with no product, AWS is a two-week detour. By the time your first user signs up, your competitor on Vercel has shipped three iterations.

Overengineering infrastructure. Building a Kubernetes cluster for an app with ten users. Setting up a staging environment before you have a production user. Writing Terraform modules for an app that has not found product-market fit. All of this is procrastination disguised as rigor.

Ignoring developer speed. Deploying takes ten minutes on your setup. Deploying on a peer's Vercel project takes ninety seconds. That delta is not a rounding error. It is the difference between iterating six times in a day and iterating twice.

Choosing based on hype. "We should be on Kubernetes because FAANG is." FAANG has a thousand engineers running the platform. You have three. You are not FAANG, and designing like you are is the slowest way to not become one.

Confusing raw cost with total cost. AWS line items can look cheaper than Vercel line items. The cost that matters is the total cost: line item plus founder hours plus engineering hours plus outage cost. At small scale, Vercel wins on total cost almost every time.

Treating migration as catastrophic. Teams avoid Vercel because they fear being "locked in." Migrations from Vercel to AWS are real work, but they are scoped and well-understood. A year of faster iteration on Vercel is often worth a one-week migration later.

Forgetting that backends matter. Vercel is strongest for the web layer. Your database, your long-running jobs, your data pipeline, all need their own answer. Pair Vercel with a managed database and move specific backend workloads to AWS when they warrant it.

Quick fit check

If your situation maps cleanly to the good column, your hosting setup is the right size for now. If it maps to the bad column, the tool is not the problem. The approach is.

FAQ

Bottom line

Hosting is not a cloud decision. It is a "how much infra do I want to own" decision. At three people with no product, the answer is almost always "as little as possible." At fifty people with specific backend workloads, the answer changes.

For most early-stage startups, the honest answer is Vercel now, revisit specific workloads later. Vercel removes infra as a bottleneck. AWS earns its slot when specific workloads demand it, not because it is the "serious" choice.

If you want to see how hosting fits across the wider stack, the startup dev stack guide walks through the layers and the year-one startup stack post shows when each one earns its place.