AWS vs Vercel vs Railway: Where Should Your Startup Deploy?

I have shipped startups on all three. The number of founders who default to AWS because 'we will need it eventually' and then spend six months wrestling IAM, VPCs, and CloudFormation while their competitors ship is depressing. The number who default to Vercel and quietly pay $4,000/month for what should be a $400 Railway bill is also depressing.

Here is the honest 2026 comparison — what each platform is actually for, what each one costs at real-world scale, and the decision rubric for picking by team size and workload type.

Vercel: best for Next.js and modern frontend-heavy apps

Vercel is the deployment target for Next.js, SvelteKit, Remix, Nuxt, and Astro apps. Pricing in 2026: free Hobby tier is genuinely usable for prototypes, Pro is $20/seat/month, Enterprise is custom (typically $2K+/month). The platform is best-in-class for edge caching, preview deployments, image optimization, and the developer experience around modern frontend frameworks.

When Vercel wins

• Marketing sites, landing pages, blogs — preview-on-PR alone is worth $20/seat.
• Next.js and SvelteKit SaaS apps with a typical request profile (sub-10-second handlers, mostly stateless).
• Edge-rendered apps with global users — Vercel's edge network is genuinely fast.
• Teams of 1 to 8 engineers who do not want to think about DevOps until they have to.

When Vercel hurts

• Long-running jobs — serverless function timeouts cap at 15 minutes on Pro, 5 minutes on Hobby. Background workers belong elsewhere.
• High-bandwidth apps — once you cross 1TB/month, the bandwidth bill scales steeply ($40/100GB beyond included).
• Heavy database workloads — Vercel does not run your database, so you also need Supabase, Neon, Railway, or RDS.
• Teams that need fine-grained networking — VPC peering, private subnets, custom security groups. Vercel abstracts all of that away.

Railway: full-stack PaaS for the rest of your stack

Railway is the spiritual successor to Heroku, with better DX and saner pricing. You deploy any container-based service — Postgres, Redis, background workers, Python or Node APIs, cron jobs — by pushing a Dockerfile or connecting a repo. 2026 pricing: Hobby starts at $5/month with $5 of usage credits, Pro is $20/month with usage-based billing on top. Most early-stage stacks land at $20 to $80/month all-in.

When Railway wins

• Full-stack apps with Postgres, Redis, background workers, and a backend API. Deploy all four in one project, share a private network, done.
• Pre-PMF startups optimizing for shipping speed over cost optimization — Railway is the closest 2026 has to Heroku circa 2014.
• Python, Go, Rust, and other backends Vercel handles awkwardly. Railway runs whatever Docker can run.
• Founders who want one bill, one dashboard, and one place to debug.

When Railway hurts

• High-traffic edge-cached frontends — Vercel's edge network and image optimization beat Railway here.
• Compliance-heavy customers asking for SOC 2 evidence specific to AWS or GCP regions.
• Workloads that need GPU compute — Railway does not offer GPUs at the time of writing.
• Teams that have outgrown PaaS — at 30+ services and 10+ engineers, the abstraction starts feeling thin.

AWS: maximum power, maximum operational tax

AWS is the most powerful cloud platform in existence. It is also the most operationally complex by an order of magnitude. The free tier covers most workloads for 12 months — after that, real bills arrive. AWS makes sense when you have heavy compute, regulated workloads, or a team with serious DevOps capacity. It does not make sense by default.

When AWS wins

• Heavy GPU or compute workloads — ML training, big data pipelines, video processing.
• Enterprise B2B selling to customers who require AWS-only deployment (banks, healthcare, defense).
• Multi-region active-active deployments where every millisecond and every region failover matters.
• Teams of 5+ engineers including a senior with real AWS experience — IAM, VPC, CloudFormation, ECS or EKS.
• Companies past Series B that have outgrown PaaS abstractions and need fine-grained control.

When AWS hurts founders

• Pre-Series A founders without DevOps expertise — you will spend 30 to 50 percent of engineering time on infra you should be paying someone else to handle.
• Anyone shipping a typical Next.js + Postgres SaaS — Vercel + Railway will be 5x faster to ship and 3x cheaper at MVP scale.
• Founders who think 'we will save money on AWS' — once you account for engineering hours, almost never true under $5M ARR.
• Teams that want preview deployments and edge caching out of the box. You will rebuild Vercel on AWS, badly.

The big comparison: Vercel vs Railway vs AWS across 12 dimensions

All three platforms compared on the things founders actually care about — pricing at scale, DX, scaling ceilings, lock-in risk, and ecosystem.

Cost calculator: a typical SaaS at three scales

Take a B2B SaaS — Next.js frontend, Node API, Postgres, Redis, background workers, 100GB monthly egress at MVP and 5TB at scale. Here is what each stack costs at three milestones.

MVP — 500 MAU, 100GB egress/month

• Vercel + Railway: $20 (Vercel Pro) + $25 (Railway Postgres + worker) = $45/month.
• Vercel + Supabase: $20 + $0 (Supabase free tier) = $20/month.
• AWS: ~$80 to $150/month after the free tier expires (ALB, RDS t3.small, ECS Fargate, CloudFront).

Growth — 10,000 MAU, 1TB egress/month

• Vercel + Railway: $80 (Vercel Pro w/ bandwidth) + $120 (Railway scaled) = $200/month.
• Vercel + Supabase: $80 + $25 (Supabase Pro) = $105/month plus database scale costs.
• AWS: $400 to $800/month, plus 0.2 to 0.5 DevOps FTE = effectively $4K to $8K/month all-in.

Scale — 100,000 MAU, 5TB egress/month

• Vercel + Railway: $1,500 to $3,500/month (bandwidth dominates on Vercel).
• Vercel Enterprise + Supabase Team: $3K to $6K/month.
• AWS: $1,500 to $4,000/month + 1 DevOps FTE ($150K+ fully loaded). Often net cheaper at this scale, but only if the engineer exists.

Other contenders worth knowing

Three platforms I deploy clients on regularly that did not make the headline.

• Render — Railway alternative with better Postgres tooling and slightly less generous pricing. Mature and stable. Good pick if Railway feels too new.
• Fly.io — global edge deployments with Postgres at the edge. Excellent for latency-sensitive apps and multi-region. DX is rougher than Railway but the architecture is unique.
• Google Cloud Run — serverless containers with very fair pricing and 2 million free requests/month. Great for backend APIs if you already live in GCP. Smaller ecosystem than AWS.
• Cloudflare Workers + R2 + D1 — strong story for edge-native apps with zero egress costs. Still maturing for traditional SaaS workloads but cheap and fast.

Decision rubric by team size and workload

1. 1 to 2 engineers, no DevOps experience — Vercel + Railway or Vercel + Supabase. End of conversation.
2. 3 to 5 engineers, modern web app, no enterprise customers yet — same as above. Add Sentry and Posthog. Do not migrate.
3. 5 to 10 engineers, growing enterprise interest, SOC 2 in scope — stay on Vercel + Railway, hire a part-time platform engineer or fractional CTO to plan eventual AWS migration.
4. 10+ engineers, Series B funded, enterprise contracts requiring AWS — migrate the backend to AWS (ECS or EKS), keep marketing site on Vercel, run infrastructure as code (Terraform, Pulumi). Budget 3 to 4 months and one senior platform engineer.
5. Heavy compute, ML, video, or regulated workloads from day one — start on AWS or GCP with a senior who has done it before. Skip the PaaS step.

Migration paths when you outgrow your starter stack

Vercel to AWS: replace Vercel-hosted Next.js with self-hosted Next.js on ECS Fargate behind CloudFront, or with the Open Next adapter on Lambda. Plan 2 to 4 weeks of senior engineering for the lift, plus 2 to 4 weeks of parallel-running before cutover. Hardest piece: replicating preview deployments and edge caching.

Railway to AWS: any Railway service is just a Docker container, so you are migrating Docker images to ECS/EKS plus Postgres to RDS. Cleaner than Vercel migration. Plan 1 to 3 weeks per service depending on complexity.

Vercel to Cloudflare Workers: a real option for edge-native apps. Open Next has a Cloudflare adapter. Bandwidth pricing is dramatically cheaper. Some Next.js features still incompatible — check the compatibility matrix before committing.

How I help

An Architecture Audit (from $1,499) will tell you exactly which platform fits your workload, where you are overpaying, and what your migration runway looks like. For the build itself, I run an MVP Build Sprint from $3,500 that ships on Vercel + Railway by default unless you have a real reason to be elsewhere. For ongoing platform decisions, the Fractional CTO engagement runs from $2,999/month.

If you are also choosing a payment stack, see stripe vs paddle vs lemonsqueezy. For broader build vs buy questions across your whole stack, the build vs buy for startups post is the companion piece.