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Vercel vs AWS Lambda

A detailed comparison to help you choose between Vercel and AWS Lambda.

Quick Verdict

3.9/5

Vercel

0 reviews

4.1/5

AWS Lambda

0 reviews

AWS Lambda is rated higher (4.1 vs 3.9). Vercel is a serverless platform optimized for JavaScript frameworks, particularly Next.js. It handles deployment, CI/CD, and edge functions with automatic scaling and global CDN distribution. AWS Lambda is the original FaaS service — run code without servers. Supports 15+ runtimes, 1M free requests/month, and integrates deeply with 200+ AWS services. Triggered by S3, DynamoDB, API Gateway, and more.

Vercel

Vercel

Deploy and scale Next.js apps with zero configuration

AWS Lambda

AWS Lambda

The original serverless functions service

Overview
Rating3.9 (0 reviews)4.1 (0 reviews)✓
Pricing modelfreemiumfreemium (pay per request + GB-second; MicroVMs/Managed Instances metered differently)
Starting priceFree tier availableFree tier available
Best forTeams shipping Next.js and modern frontend apps who want production deploys with zero infrastructure work and can keep heavy compute elsewhereAWS developers building event-driven, variable-traffic workloads — webhooks, media processing, scheduled jobs, API backends — who want to stop managing servers entirely
Specifications (entry plan)
CPU cores0 vCPU—
RAM0 GB—
Storage0 GB—
Bandwidth0 TB/mo—
SLA uptime99.99%✓99.95%
Data-center count——
Features
IPv6✓
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing✓
Free tier
Data-center locations
Regions
Global — Cloudflare/AWS edge
All 39 AWS regions / 124 AZs
Tags
Tags
free tiermanaged optionddos protectionipv6eu datacenterus datacenterapac datacenterapi accessterraform provider
free tierapi accessus datacentereu datacenterapac datacenter
Visit Vercel →Visit AWS Lambda →

Vercel

Pros

  • + Best Git-to-URL developer workflow on the market, with per-PR preview deployments
  • + Deepest Next.js integration anywhere — framework features land here first
  • + Real free Hobby tier with hard caps (pause, not bill) and clear per-service pricing tables
  • + Fluid compute narrows the serverless tax: active-CPU billing plus instance reuse
  • + Reliable global delivery: 100+ edge locations, multi-region function failover, 99.99% targets

Cons

  • - Cost scales aggressively: bandwidth, invocations, ISR, and builds stack into bill shock
  • - Function timeouts, payload caps, and no root access limit what can run
  • - Platform-specific features (ISR cache, Edge Config, Fluid) accumulate into lock-in
  • - Hobby is non-commercial and pauses on overage; support below Enterprise is thin
  • - Heavy compute economics are poor compared to containers or VMs
View full Vercelreview →

AWS Lambda

Pros

  • + Zero idle cost with a free tier that covers small products: 1M requests and 400,000 GB-seconds monthly
  • + Graviton pricing at $0.0000133334 per GB-second undercuts x86 by roughly 20%
  • + Automatic multi-AZ scaling with a 99.95% per-region SLA and no capacity planning
  • + Deep event integration across AWS services, with three form factors (Event/Web Functions, MicroVMs)

Cons

  • - Per-request and GB-second pricing gets expensive against committed compute at steady high utilization
  • - Cold starts — hundreds of milliseconds to seconds depending on runtime — with provisioned concurrency as an extra meter
  • - 15-minute execution limit and payload caps make it wrong for long-running batch work
  • - AWS-specific event plumbing creates real lock-in; distributed event chains are hard to debug
View full AWS Lambdareview →

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