Vercel vs AWS Amplify

Connect a GitHub repo and get a live deployment in under 2 minutes. Zero documentation required for major frameworks

AWS IAM configuration, console navigation, and Amplify-specific concepts add significant friction. First deployment for a team new to AWS typically takes hours, not minutes.

Auto-deploy on push, branch deploys, and PR preview URLs are native and require no configuration. The workflow every other platform copied.

Git-connected deployments and branch previews are supported. The workflow is functional but requires more manual configuration and IAM setup to work correctly.

Vercel CLI covers deployments, env var management, and log streaming. Solid, though some advanced features still require the dashboard.

Amplify CLI and the newer Amplify Gen 2 CDK-based tooling are capable but complex. Managing permissions, environments, and backends requires deep AWS CLI familiarity.

Clean, fast, opinionated. Deployment history, env vars, domains, analytics, and logs are all surfaced clearly without clutter.

The AWS console is powerful but overwhelming. Finding Amplify Hosting settings across the AWS console, Amplify dashboard, and CloudFront configuration requires significant AWS experience.

Global CDN, instant cache invalidation on deploy, custom headers and redirects via vercel.json. First-class static support.

CloudFront-backed static hosting with global CDN, custom headers, and redirect rules. Infrastructure is enterprise-grade though the setup experience is more involved than frontend-focused platforms.

Every PR gets a unique, stable preview URL automatically. Reliable enough to share directly with clients and stakeholders.

Branch-based preview deployments with unique URLs are supported. PR previews available via GitHub integration. Functional but requires IAM setup to work correctly.

Intelligent build caching, automatic framework detection, per-branch env vars. Build times are consistently fast.

Configurable build spec (amplify.yml), environment-specific builds, caching, and build environment variables. Build times are solid across most project types.

Zero-config for Next.js (obviously), Astro, SvelteKit, Nuxt, Remix, and most modern frameworks. Framework-specific optimizations built in.

Works with Next.js, Astro, Vue, and React. Framework detection exists but setup is more manual. SSR and ISR are supported through CloudFront edge functions.

Fast cold starts (typically 50-200ms), up to 4096MB memory, 60s max execution on Pro. Runtime support for Node.js, Python, Ruby, Go, Rust.

Serverless functions run on AWS Lambda under the hood. Cold starts on the Node.js runtime are 200-500ms. Amplify abstracts this but teams still encounter the underlying runtime constraints.

No persistent server processes. All compute is request-scoped serverless. Teams needing persistent backends need a separate service.

Amplify Gen 2 supports ECS-backed services for longer-running workloads. Requires significant infrastructure configuration, not a zero-config path for persistent backends.

No Docker deployment support. Vercel manages the runtime, you cannot bring your own container image.

ECS/Fargate integration via the CDK allows container deployments within AWS. More complex to configure than purpose-built container platforms but integrates with the full AWS ecosystem.

Cron jobs supported on Pro and Enterprise. No native queue or worker support, complex background processing requires an external service.

EventBridge, SQS, and Lambda cron triggers are available through the AWS ecosystem. Native within Amplify but requires AWS-level configuration, not a simple, platform-managed experience.

100+ PoP globally via Vercel's edge network. Static assets served with sub-10ms cache hits worldwide. One of the fastest CDNs in practice.

CloudFront is one of the world's largest CDN networks with 600+ PoPs. Exceptional global reach and enterprise-grade performance for static asset delivery.

Edge Middleware runs at 100+ locations globally. First-class use cases include auth checks, geolocation redirects, A/B testing, and personalisation.

Lambda@Edge runs at CloudFront PoPs for request/response manipulation. Powerful but heavyweight, cold starts at the edge are more significant than with isolate-based runtimes.

Fluid Compute (enabled by default since April 2025) eliminates cold starts for ~99% of requests by keeping one instance warm. Edge Runtime functions start in under 50ms.

Standard Lambda cold starts of 200-500ms. Lambda@Edge has additional cold start overhead. No zero-cold-start equivalent, container-based runtimes have inherent startup latency.

Consistently top-tier in real-world benchmarks. Static assets sub-50ms globally. Serverless API routes typically 100-300ms including cold start.

CloudFront CDN ensures fast static asset delivery globally. Serverless API response times are solid when functions are warm, cold starts are the main latency variable.

Vercel KV was deprecated in December 2024. No native managed database remains, teams integrate external providers via the Marketplace.

Access to the full AWS database ecosystem; RDS (PostgreSQL, MySQL), DynamoDB, ElastiCache, Aurora. One of the most comprehensive managed database offerings available to developers.

Vercel Blob provides object storage with global CDN. Functional for most use cases but not designed for high-volume or large-asset storage workloads.

Amplify integrates with S3, CloudFront, and AWS Transfer Family. S3 is one of the most battle-tested object storage services available, highly capable and globally distributed.

With no native database, teams must match external database regions to Vercel function regions manually. Latency between edge functions and regional DBs requires careful coordination.

AWS region selection ensures compute and database are co-located. VPC private networking eliminates public internet latency between Lambda functions and RDS instances.

Environment-scoped variables (production, preview, development), encrypted at rest, secret promotion between environments. Clean and auditable.

Environment variables managed across Amplify console, AWS Parameter Store, and Secrets Manager. Functional but scattered across multiple AWS services, not a unified experience.

Full redirect and rewrite rules via vercel.json. Supports regex, path matching, headers, and status codes. Handles complex routing without application code.

Redirect and rewrite rules configurable in the Amplify console or amplify.yml. Supports complex patterns and covers the full range of routing requirements.

Custom response headers configurable per path in vercel.json. Full control over cache, security, and CORS headers at the platform level.

Custom response headers configurable at the CloudFront distribution level or per-path in Amplify. Full header control is available but requires more configuration steps.

Production, preview branches, and development environments with isolated env vars and separate domains. Clean multi-environment workflow out of the box.

Branch-based environments with separate env vars and domains. IAM-scoped team access per environment. More setup overhead, but scales well to large enterprise team structures.

Base plan pricing is clear. Usage-based costs (bandwidth, function invocations, Edge Middleware) require careful monitoring. Bills can surprise at scale.

AWS pricing involves multiple dimensions; build minutes, data transfer, Lambda invocations, CloudFront requests, S3 storage. Forecasting the total monthly cost is genuinely difficult.

No hard spending caps by default. A traffic spike or a function loop can generate a large bill. Spending limits available but not enabled by default.

AWS bills aggregate across many services without a single cap. A traffic spike can trigger CloudFront, Lambda, and S3 charges simultaneously. Budget alerts are essential but manual.

Excellent value at startup scale. Pro plan at $20/member/month becomes expensive for agencies managing many projects. Usage costs add up quickly at volume.

Good value for teams already paying for AWS. Marginal cost for adding Amplify to an existing AWS account. Poor value for teams not already in AWS due to complexity overhead.

Hobby plan is genuinely capable, unlimited static sites, 100GB bandwidth, 100K function invocations/day. Real staging environments are viable for low-traffic projects.

AWS free tier includes limited Amplify build minutes, hosting, and data transfer. Functional for development but requires careful monitoring to avoid charges on early-stage projects.

Vercel's track record is excellent. Incidents are rare, well-communicated via status page, and typically resolved quickly. Suitable for production client work.

AWS infrastructure has one of the best uptime track records in the industry. CloudFront and S3 SLAs are enterprise-grade. Suitable for the most demanding production environments.

One-click rollback to any previous deployment from the dashboard. Instant, no rebuild required. One of the best rollback experiences in the industry.

Previous deployments are accessible in the Amplify console. Rollback requires redeploying a previous build; not instant. The process is functional but involves more steps than a one-click rollback.

Real-time function logs and runtime logs in the dashboard. Log drain to external services available on Pro. Adequate for most debugging without external tooling.

CloudWatch provides comprehensive logging for Lambda functions, build processes, and access logs. Powerful but requires CloudWatch familiarity to use effectively.

Built-in Web Analytics and Speed Insights on Pro. Request, error, and performance data without third-party setup. Limited compared to Datadog or similar.

CloudWatch metrics, alarms, and dashboards provide enterprise-grade observability. X-Ray for distributed tracing. Full AWS monitoring stack available, overkill for small projects.

ISR, Edge Middleware, and optimized Image component work best, or only, on Vercel. Server Actions and streaming are framework-level but optimized for Vercel.

Amplify Gen 2 uses CloudFormation for infrastructure, which is AWS-specific. Lambda, CloudFront, and IAM create dependencies across the AWS ecosystem.

Standard Next.js apps are portable, but ISR granularity and Edge Middleware do not transfer cleanly to other hosting environments. A migration is achievable but not trivial.

Application code is portable. Infrastructure configuration is AWS-specific. Migrating off AWS requires replacing configurations.

Uses standard Node.js and Git, but Edge Runtime is a constrained V8 environment with subset of Node.js APIs. vercel.json config is proprietary.

Standard Node.js runtime, Git, and S3-compatible storage. amplify.yml build spec is AWS-specific but straightforward to translate. Application code follows broadly standard conventions.

The ideal platform for marketing sites. Performance, SEO, and PR preview deployments are all first-class. Agencies default to Vercel for this use case.

CloudFront-backed hosting with preview deployments handles marketing site requirements. The setup overhead is unjustified unless the team is already operating in AWS.

Excellent for full-stack Next.js apps. Limitations emerge for apps needing persistent servers, background queues, or Docker-based backends.

Strong for full-stack apps within the AWS ecosystem. Auth (Cognito), APIs (AppSync/API Gateway), storage (S3), and compute (Lambda) are all native integrations.

Teams feature, per-project isolation, and straightforward onboarding make it practical for agency use. Usage-based billing requires client cost monitoring.

High IAM and AWS configuration complexity makes client handoff difficult. Best suited to enterprise clients with dedicated DevOps teams, not typical agency project use cases.