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Where should I deploy my app?

Pricing, features, and honest recommendations for the top platforms

Feature Comparison

Scroll to compare all platforms side by side.

Feature Render Railway Fly.io Vercel
Starting price Free, then $7/mo $5/mo + usage Pay as you go Free, Pro $20/mo
Free tier ✓ With limits $5 trial (once) ✗ $5 credits only ✓ Personal use
Database ✓ PostgreSQL ✓ PG + Redis ✗ Not included ✗ Not included
Auto-scaling ✓ Available ✓ Usage-based ✓ Global ✓ Automatic
Deploy speed ⚡ Fast ⚡ Fast ⚡⚡ Very fast ⚡⚡ Very fast
Best for Any stack, MVPs Full-stack, startups Global apps Frontend

Render

Free → $7/mo

Simple and predictable pricing

Best for: first deploy, hobby projects, MVPs, any stack
  • Generous free tier
  • Automatic SSL and built-in CDN
  • PostgreSQL included
  • Clean, easy dashboard
  • Free tier spins down (slow cold starts)
  • Fewer regions than AWS/GCP
Try Render Free → No credit card required

Railway

From $5/mo

Modern Heroku alternative at a fraction of the price

Best for: full-stack apps, startups, anyone paying too much for Heroku
  • PostgreSQL and Redis included
  • Hobby plan includes $5/mo in usage credits
  • Excellent developer experience
  • Fast GitHub auto-deploys
  • No permanent free tier after trial
  • Can get expensive at scale
Try Railway → $5 one-time trial credit

Fly.io

Pay as you go

Global edge deployment

Best for: global apps, WebSockets, real-time, Docker-first teams
  • Deploy to 30+ regions worldwide
  • Low latency for global users
  • Full Docker support
  • Great for WebSockets
  • No free tier ($5 in trial credits only)
  • Steeper learning curve
  • Requires more DevOps knowledge
Try Fly.io → $5 in trial credits for new accounts

Vercel

Free → $20/mo

Frontend-focused platform

Best for: Next.js, React, static sites, frontend teams
  • Perfect for Next.js apps
  • Automatic PR preview deployments
  • Global CDN and edge functions
  • Zero-config deployments
  • Free tier is personal use only (any revenue requires Pro)
  • No persistent server processes (serverless only)
  • Bandwidth costs add up
Deploy on Vercel → Free for personal projects

Heroku

No new features

Battle-tested reliability, now frozen

Status: Salesforce froze all new feature development in early 2026 and closed enterprise contracts to new customers. Standard pay-as-you-go plans still work, but there is no future roadmap.
  • Battle-tested reliability
  • Massive add-on ecosystem
  • Existing apps will continue to run
  • No new features being developed
  • No new enterprise contracts
  • Long-term sunset risk
  • Most expensive option
Heroku.com → Moving off Heroku? Railway is the most common landing spot.

Self-Hosted VPS

More setup than a managed platform, but significantly cheaper at scale. Worth it once you have some DevOps comfort and want more control over your costs.

Feature DigitalOcean Linode (Akamai)
Starting price $6/mo $5/mo
New account credit $200 (60 days) $100 (60 days)
Managed databases ✓ PG, MySQL, Redis ✓ PG, MySQL, Redis
Regions 15+ 11+
Documentation ⭐⭐⭐ Excellent ⭐⭐ Good
Best for First VPS, moving off a managed platform Cost-conscious teams

DigitalOcean

From $6/mo

The friendliest VPS for developers

Best for: teams moving off a managed platform, first VPS, anyone who wants great docs
  • $200 credit for new accounts
  • Managed PostgreSQL, MySQL, Redis
  • Excellent documentation and tutorials
  • Simple, predictable pricing
  • More setup than a managed platform
  • No auto-deploy from Git out of the box
Try DigitalOcean → $200 free credit for new accounts

Linode (Akamai Cloud)

From $5/mo

Solid, no-frills VPS since 2003

Best for: cost-conscious teams, a second quote before committing to DigitalOcean
  • Slightly cheaper entry price
  • $100 credit for new accounts
  • Managed PostgreSQL, MySQL, Redis
  • Backed by Akamai's global network
  • Smaller community than DigitalOcean
  • Less polished UI and documentation
Try Linode → $100 free credit for new accounts

For Engineering Teams

Most apps never need this. But once you have compliance requirements, dedicated infrastructure engineers, or workloads a managed platform can't handle, the big three are the common answer. The differences between them are real enough that companies hire architects specifically to make this call.

Feature AWS GCP Azure
Market share #1 #3 #2
ML / AI SageMaker ⭐ Vertex AI, TPUs Azure ML
Kubernetes EKS ⭐ GKE (invented it) AKS
Data / Analytics Redshift ⭐ BigQuery Synapse
Microsoft ecosystem ⭐ Native
Compliance certs Most (SOC 2, HIPAA, FedRAMP) Fewer Many
Best for General default AI/ML, data, K8s Enterprise, Microsoft shops

AWS

Pay as you go

The safe default

Best for: teams without a strong reason to go elsewhere, compliance-heavy industries, broad hiring pool
  • Largest service catalog by far
  • Most compliance certifications (SOC 2, HIPAA, FedRAMP)
  • Deepest talent pool
  • #1 market share
  • Pricing is hard to predict
  • Console can feel overwhelming

GCP

Pay as you go

Making up serious ground on AWS

Best for: AI/ML workloads, data pipelines, teams that run Kubernetes
  • GKE is the best managed Kubernetes (Google invented it)
  • BigQuery is the strongest data warehouse of the three
  • Vertex AI gives you Google's own ML infrastructure
  • Often cheaper compute than AWS
  • Smaller service catalog than AWS
  • Fewer compliance certifications

Azure

Pay as you go

Dominates enterprise and government

Best for: Microsoft shops, enterprise sales, government contracts
  • Native integration with Active Directory, Office 365, .NET
  • Strong compliance and government certifications
  • Often wins when procurement makes the call
  • Less exciting for greenfield web apps
  • Weaker developer experience than AWS or GCP