AWS Amplify vs Netlify

Git repository connection to live deployment in under 3 minutes. Auto-detection handles all major frameworks without configuration.

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.

Branch deploys, PR previews, and auto-deploy on push are first-class native features. Netlify invented this workflow, it still executes it flawlessly.

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

The CLI supports deploy, dev server, env management, and function testing locally. Solid for most workflows, though some team management requires 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.

Clear and well-organized. Deployments, forms, split testing, and env vars are surfaced intuitively. Highly functional for day-to-day operations.

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

Netlify's core strength. Instant cache invalidation, atomic deploys, custom headers and redirect rules, global CDN. Mature and battle-tested.

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 branch and PR gets a unique preview URL. Deploy previews are reliable, fast to generate, and include deploy notifications for team collaboration.

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

Build caching, configurable build commands, and per-context env vars (production vs deploy-preview). Build minutes are capped on free and starter tiers.

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

Excellent for all major frameworks. ISR and some server features require adapters.

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.

Netlify Functions (AWS Lambda-backed) are mature and well-documented. 10s execution limit on free tier, 15s on paid. Good cold start performance.

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. Teams needing persistent backends need a separate service alongside Netlify.

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 support. Netlify manages the runtime entirely, custom runtimes or non-standard dependencies are not supported.

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.

No native background workers or queue processors. Scheduled functions are available on Pro but limited. Complex background processing requires a separate platform.

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.

Tier 1 global CDN with points of presence on every continent. Atomic deployments with instant cache invalidation are a core platform feature.

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

Netlify Edge Functions run on Deno's global network. Good for auth, redirects, and personalisation. The ecosystem of compatible packages is more limited than the standard Node.js runtime.

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.

Standard serverless function cold starts are 200-500ms. Edge Functions using Deno have near-zero cold starts but a more limited runtime environment.

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.

Static assets are consistently fast globally. Serverless function response times are solid and predictable for typical API workloads.

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.

No managed relational database. Netlify Blobs provides key-value and blob storage. For PostgreSQL or MySQL, an external provider is required.

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

Netlify Blobs provides object storage for media and generated assets. Functional for most use cases but not designed for high-volume or complex 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.

Netlify does not control the region of the underlying Lambda functions. Co-locating compute with an external database requires careful provider selection.

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

Context-aware env vars (production, deploy-preview, branch-deploy), secret management, and team-level sharing. One of the cleanest env var systems available.

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

netlify.toml redirect rules are expressive and powerful. Supports splats, placeholders, country/language conditions, force redirects, and rewrites 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 headers per path via netlify.toml or _headers file. Full control over cache, security, and CORS 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.

Branch deploys with per-context env vars provide a clean staging workflow. Environment promotion is manual but well-documented.

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.

Starter plan is free with clear caps. Pro pricing at $20/member/month plus usage. Bandwidth and build minute overages are the main variables to monitor.

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

Bandwidth overages and build minute overages can add up. Usage alerts are available but surprise bills are possible without active monitoring.

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.

Good value for static and JAMstack projects. The Pro plan becomes expensive for large teams. SSR-heavy or full-stack projects may find the cost model less favourable.

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.

Genuinely useful for development and low-traffic staging environments.

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.

Excellent production track record with over a decade of operation. Incidents are infrequent and well-communicated. Trusted for client-facing production deployments.

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 deploy. Instant, no rebuild required. Netlify has offered this since its early days and executes it reliably.

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.

Function logs in the dashboard with a short retention window. For production debugging, most teams add an external log drain. Adequate but not comprehensive.

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

Basic analytics available. Real-time monitoring and alerting require third-party integration. Built-in observability is limited for production debugging needs.

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

netlify.toml, Edge Functions on Deno, and Netlify-specific function conventions create some platform dependency. Most workloads are straightforward to migrate.

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

Static sites move easily. Serverless functions need minor adjustment to run on other Lambda-backed platforms. Most projects migrate in a day.

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

Uses standard Git, Node.js, and broadly supported Lambda runtime. Edge Functions use Web Standard APIs. Redirect rules are Netlify-specific but easy to port.

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 benchmark platform for Astro, Gatsby, and static marketing sites. Preview deployments, instant cache invalidation, and redirect flexibility make it ideal.

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

Adequate for simple apps. Gaps in persistent compute, background jobs, and Next.js SSR parity make it less suitable for complex full-stack apps.

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

Easy client handoff, per-project isolation, and mature team features. Build minute caps on lower tiers require monitoring for high-build-frequency projects.

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.