Vercel vs AWS - Hosting Next.js Applications

Choosing the right hosting platform for your Next.js application is a decision that affects performance, maintenance costs, deployment speed, and architectural flexibility for years to come. Vercel, as the creator of Next.js, offers a native, optimized environment with minimal configuration. AWS, on the other hand, provides unlimited flexibility and full control over your infrastructure, but demands significantly more expertise and effort.

In this comparison, we analyze both solutions across key hosting aspects: from deployment simplicity, through pricing, CDN and edge computing, all the way to vendor lock-in and scalability. Whether you are building a startup MVP or an enterprise-grade e-commerce platform, this article will help you make an informed decision.

Vercel - Native Hosting for Next.js#

What Is Vercel?#

Vercel is a cloud platform created by the company responsible for developing Next.js. It was designed with frontend frameworks in mind, and its main advantage is the zero-config deployment philosophy - simply connect your Git repository and Vercel automatically detects the framework, configures the build pipeline, and deploys your application to a global edge network.

Key Features of Vercel#

Zero-config deployment: Vercel automatically detects Next.js and configures optimal build and runtime settings. No need to write Dockerfiles, configure servers, or manage infrastructure. A simple git push and your application is deployed in seconds.

Global edge network: The Vercel Edge Network spans over 100 Points of Presence (PoP) worldwide. Static assets are served from the nearest node, while Edge Functions allow you to run server-side logic close to the user, drastically reducing latency.

Preview deployments: Every pull request automatically generates a unique URL with a full preview of the changes. This is a revolutionary tool for code review - reviewers can see the running application without having to run the code locally.

# Deploying to Vercel - it really is this simple
npm i -g vercel
vercel

# Or just connect your GitHub repository
# Every push to main = automatic deployment
# Every PR = preview deployment with a unique URL

Serverless Functions: API routes in Next.js are automatically deployed as serverless functions. Vercel supports Node.js, Edge Runtime, Python, Go, and Ruby. Functions scale automatically from zero to thousands of concurrent invocations.

Image Optimization: Built-in image optimization through next/image - automatic conversion to WebP/AVIF, responsive sizes, and lazy loading. On Vercel, this works out-of-the-box without any additional configuration.

Web Analytics and Speed Insights: Vercel offers built-in tools for monitoring Core Web Vitals and real application performance measured on user devices (Real Experience Score).

AWS - Full Control Over Your Infrastructure#

What Is AWS in the Context of Next.js?#

Amazon Web Services is the most comprehensive cloud platform in the world, offering over 200 services. In the context of hosting Next.js, AWS provides several deployment paths - from fully managed to completely self-hosted. Each offers a different level of control, complexity, and cost.

Options for Hosting Next.js on AWS#

AWS Amplify Hosting: The closest equivalent to Vercel in the AWS ecosystem. Amplify offers managed hosting with automatic CI/CD, preview deployments, and SSR support. It is the simplest path for deploying Next.js on AWS, though it does not provide full compatibility with all Next.js features.

# AWS Amplify - relatively simple configuration
# amplify.yml
version: 1
frontend:
  phases:
    preBuild:
      commands:
        - npm ci
    build:
      commands:
        - npm run build
  artifacts:
    baseDirectory: .next
    files:
      - '**/*'
  cache:
    paths:
      - node_modules/**/*
      - .next/cache/**/*

Amazon EC2 / ECS with Docker: Full control over the runtime environment. Next.js runs as a Docker container on EC2 instances or in an ECS/Fargate cluster. This approach requires managing scaling, load balancing, SSL certificates, and monitoring.

# Dockerfile for self-hosted Next.js on AWS
FROM node:20-alpine AS base

FROM base AS deps
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production

FROM base AS builder
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN npm run build

FROM base AS runner
WORKDIR /app
ENV NODE_ENV=production
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs

COPY --from=builder /app/public ./public
COPY --from=builder /app/.next/standalone ./
COPY --from=builder /app/.next/static ./.next/static

USER nextjs
EXPOSE 3000
ENV PORT=3000

CMD ["node", "server.js"]

AWS Lambda@Edge + CloudFront: A serverless architecture where SSR is handled by Lambda functions at the CloudFront edge. Libraries like OpenNext enable deploying Next.js in a native AWS serverless architecture. This solution is cheapest at low traffic but requires deep knowledge of the AWS ecosystem.

AWS App Runner: A relatively new service that simplifies container deployment. App Runner automatically builds, deploys, and scales containers, offering a simpler experience than ECS but with less configuration flexibility.

Deployment Complexity Comparison#

Vercel: Minutes to Production#

Deploying a Next.js application to Vercel takes literally minutes:

1. Connect your GitHub/GitLab/Bitbucket account
2. Select the repository
3. Click "Deploy"

Vercel automatically detects next.config.js, installs dependencies, runs the build, and deploys the application. There is no need to configure servers, containers, load balancers, or SSL certificates. Everything works immediately.

AWS: Hours to Days#

Deployment on AWS requires significantly more steps and knowledge:

Amplify path (simplest): Configuration takes about 30-60 minutes, including connecting the repository, configuring build settings, and setting up the domain. Amplify handles most scenarios but may have issues with advanced Next.js features.

EC2/ECS path (medium complexity): Requires configuring VPC, security groups, load balancer (ALB), target groups, task definitions (ECS), SSL certificates (ACM), Route 53, and potentially CloudFront. Realistically, this takes 1-3 days of work for an experienced DevOps engineer.

Lambda@Edge with OpenNext path (advanced): Requires understanding CloudFormation/CDK/SST, Lambda layers, CloudFront behaviors, and S3 bucket policies. Configuration using SST (Serverless Stack) simplifies the process but still requires 4-8 hours of work and deep AWS knowledge.

// SST - deploying Next.js on AWS Lambda@Edge
// sst.config.ts
import { SSTConfig } from "sst";
import { NextjsSite } from "sst/constructs";

export default {
  config() {
    return {
      name: "my-nextjs-app",
      region: "eu-central-1",
    };
  },
  stacks(app) {
    app.stack(function Site({ stack }) {
      const site = new NextjsSite(stack, "site", {
        customDomain: {
          domainName: "example.com",
          domainAlias: "www.example.com",
        },
        environment: {
          DATABASE_URL: process.env.DATABASE_URL!,
          NEXT_PUBLIC_API_URL: process.env.NEXT_PUBLIC_API_URL!,
        },
      });
      stack.addOutputs({
        SiteUrl: site.url,
      });
    });
  },
} satisfies SSTConfig;

Pricing Comparison#

Vercel - Pricing Model#

| Plan | Price | Limits | |------|-------|--------| | Hobby | $0/month | 1 user, 100 GB bandwidth, 100 GB-hrs serverless | | Pro | $20/user/month | Team features, 1 TB bandwidth, 1000 GB-hrs serverless | | Enterprise | Custom | SLA, advanced security, dedicated support |

Additional costs on Vercel:

• Bandwidth above limit: $40/100 GB
• Serverless Function Execution: $40/100 GB-hrs
• Edge Function Invocations: $2/million
• Image Optimization: $5/1000 source images
• Web Analytics: included in Pro, additional charges for volume

For small projects and startups, the Hobby plan is ideal - free production hosting with decent limits. The problem arises when scaling: Vercel costs grow rapidly and can become significant with high traffic.

AWS - Pricing Model#

AWS costs are significantly harder to estimate because they depend on the chosen architecture and dozens of parameters:

Amplify Hosting:

• Build: $0.01/build minute
• Hosting: $0.15/GB served
• SSR: $0.0000002083/request + $0.0000133334/GB-s

EC2 (t3.medium, eu-central-1):

• On-Demand: ~$38/month (24/7)
• Reserved Instance (1 year): ~$25/month
• Spot Instance: ~$11-15/month (with interruption risk)
• Plus: ALB (~$22/month), EBS storage, data transfer

Lambda@Edge + CloudFront:

• Lambda@Edge: $0.0000006/request + $0.00005001/GB-s
• CloudFront: $0.085/GB (first 10 TB)
• S3: $0.023/GB storage
• Typical cost for a small application: $5-20/month

Estimated monthly costs for typical scenarios:

| Scenario | Vercel | AWS (Amplify) | AWS (Lambda@Edge) | AWS (EC2) | |----------|--------|---------------|---------------------|-----------| | Blog/portfolio (1K visits/day) | $0 (Hobby) | ~$3-5 | ~$2-5 | ~$40-60 | | SaaS startup (10K visits/day) | $20+ (Pro) | ~$15-30 | ~$15-40 | ~$60-100 | | E-commerce (100K visits/day) | $150-500+ | ~$80-200 | ~$100-300 | ~$200-500 | | Enterprise (1M+ visits/day) | $1000-5000+ | ~$500-1500 | ~$800-2000 | ~$1000-3000 |

Key difference: at low traffic, Vercel is cheaper (or free). At high traffic, AWS typically offers better cost-to-performance ratio but requires investment in DevOps.

CDN and Edge Functions#

Vercel Edge Network#

Vercel offers an integrated CDN network with over 100 locations worldwide. Key elements:

• Edge Middleware: Runs code before the request reaches your application. Ideal for A/B testing, geolocation, rewrites, and redirects. Runs in Edge Runtime (lightweight V8 isolate, not full Node.js).
• Edge Functions: Serverless functions running at the edge with ultra-low cold start (~25ms vs ~250ms for regular serverless functions).
• ISR (Incremental Static Regeneration): Native support with automatic cache invalidation across the entire edge network.

// Vercel Edge Middleware - geolocation example
// middleware.ts
import { NextResponse } from 'next/server';
import type { NextRequest } from 'next/server';

export function middleware(request: NextRequest) {
  const country = request.geo?.country || 'US';
  const city = request.geo?.city || 'San Francisco';

  // Redirect European users to EU subdomain
  if (['DE', 'FR', 'PL', 'IT', 'ES'].includes(country)) {
    return NextResponse.rewrite(
      new URL(`/eu${request.nextUrl.pathname}`, request.url)
    );
  }

  // Add geolocation headers
  const response = NextResponse.next();
  response.headers.set('x-user-country', country);
  response.headers.set('x-user-city', city);
  return response;
}

export const config = {
  matcher: ['/((?!api|_next|static|favicon.ico).*)'],
};

AWS CloudFront + Lambda@Edge#

AWS CloudFront is one of the oldest and most feature-rich CDN networks:

• CloudFront: 450+ PoPs in 90+ cities worldwide. Advanced configuration of cache behaviors, origin groups, and failover.
• Lambda@Edge: Functions running at the CloudFront edge at 4 points in the request lifecycle (viewer request/response, origin request/response).
• CloudFront Functions: A lighter alternative to Lambda@Edge - faster, cheaper, but with limited functionality (JavaScript only, no network access).

AWS offers more advanced CDN configuration options but requires manual setup of cache policies, origin settings, and behavior patterns. Vercel does this automatically for Next.js.

Custom Domains and SSL#

Vercel#

Configuring a domain on Vercel is a 3-minute process:

1. Add the domain in the Vercel dashboard
2. Configure DNS records (A or CNAME)
3. SSL is automatically provisioned via Let's Encrypt

Vercel supports wildcard domains, subdomain routing, and automatic www/non-www redirects. SSL certificates are renewed automatically.

AWS#

Domain configuration on AWS requires coordinating several services:

1. Route 53: DNS management ($0.50/hosted zone/month + $0.40/million queries)
2. ACM (AWS Certificate Manager): Free SSL certificates, but requiring DNS or email validation
3. CloudFront/ALB: Assigning the certificate and configuring HTTPS

For Amplify, the process is simplified - similar to Vercel. For EC2/ECS, it requires manual configuration of ALB, listener rules, and ACM certificates. Certificates for CloudFront must be provisioned in the us-east-1 region, regardless of the application's region.

Environment Variables and Configuration#

Vercel#

Vercel offers an intuitive interface for managing environment variables split by environment (Production, Preview, Development):

# CLI - managing variables
vercel env add DATABASE_URL production
vercel env add NEXT_PUBLIC_API_URL preview
vercel env pull .env.local  # Pull variables for local development

Vercel automatically exposes variables at build-time and runtime. Variables prefixed with NEXT_PUBLIC_ are safely exposed on the client side. Variable changes require redeployment.

AWS#

Managing variables on AWS depends on the chosen architecture:

• Amplify: Similar to Vercel - UI panel with environment separation
• ECS: Variables in Task Definition or AWS Systems Manager Parameter Store / Secrets Manager
• Lambda: Variables in function configuration or SSM Parameter Store
• EC2: .env files, systemd environment files, or Parameter Store with SDK

AWS Secrets Manager ($0.40/secret/month) and SSM Parameter Store (free for standard tier) offer advanced secret management with rotation, auditing, and fine-grained IAM policies. This is a significantly more secure solution for enterprise use but requires additional configuration.

CI/CD Integration#

Vercel#

CI/CD on Vercel is built-in and zero-config:

• Automatic build and deployment on every push
• Preview deployments for pull requests
• Automatic rollback on failed deployment
• Build cache accelerates subsequent deployments
• GitHub Checks integration - deployment status visible in PRs
• Deployment Protection - optional authentication for previews

AWS#

CI/CD on AWS requires configuring additional services:

AWS CodePipeline + CodeBuild: Native AWS CI/CD tools. Powerful, but requiring configuration of pipeline stages, build specs, and deployment targets.

GitHub Actions + AWS: A more popular approach - GitHub Actions for building and testing, with deployment to AWS via AWS CLI, CDK, or SST.

# GitHub Actions - deploying Next.js to AWS
name: Deploy to AWS
on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: 'npm'
      - run: npm ci
      - run: npm run build
      - run: npm test
      - name: Deploy to AWS
        env:
          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        run: npx sst deploy --stage production

Amplify: Built-in CI/CD similar to Vercel, with automatic build and preview deployments. Configuration via the amplify.yml file.

Monitoring and Observability#

Vercel#

Vercel provides built-in monitoring tools that work out of the box:

• Web Analytics: Real user metrics including page views, unique visitors, and traffic sources. Available on Pro plans and above.
• Speed Insights: Core Web Vitals monitoring (LCP, FID, CLS) with real user measurements, not just synthetic tests.
• Logs: Real-time function logs accessible through the dashboard and CLI. Runtime logs, build logs, and edge middleware logs are all available.
• Alerts: Configurable alerts for deployment failures, function errors, and performance degradation.

The limitation is depth - Vercel monitoring is excellent for frontend metrics but limited for backend observability. For complex applications, you will still need external tools like Datadog, Sentry, or New Relic.

AWS#

AWS CloudWatch is the central monitoring service, offering far more depth and customization:

• CloudWatch Metrics: CPU, memory, network, custom metrics for every service
• CloudWatch Logs: Centralized log aggregation with log groups, filters, and insights
• CloudWatch Alarms: Alerts based on metric thresholds with SNS notifications
• X-Ray: Distributed tracing for microservices architectures
• CloudWatch Dashboards: Custom visualization dashboards

AWS monitoring is significantly more powerful but requires setup and configuration. You need to instrument your application, configure log groups, create alarms, and build dashboards. The learning curve is steep, but the capabilities are enterprise-grade.

Database Options#

Vercel#

Vercel has expanded its data storage offerings in recent years:

• Vercel Postgres: Managed PostgreSQL powered by Neon, with serverless scaling and branching. Integrated directly with the Vercel dashboard.
• Vercel KV: Redis-compatible key-value store powered by Upstash. Ideal for caching, sessions, and rate limiting.
• Vercel Blob: Object storage for files, images, and assets.
• Vercel Edge Config: Ultra-low latency key-value store read at the edge. Perfect for feature flags and configuration.

These are convenient and well-integrated but come with pricing that can add up. They are also relatively new and may lack features that mature managed database services offer.

AWS#

AWS offers the most comprehensive database ecosystem available:

• Amazon RDS: Managed relational databases (PostgreSQL, MySQL, MariaDB, Oracle, SQL Server)
• Amazon Aurora: High-performance MySQL/PostgreSQL-compatible database with automatic scaling
• Amazon DynamoDB: Fully managed NoSQL database with single-digit millisecond latency
• Amazon ElastiCache: Managed Redis and Memcached for caching
• Amazon DocumentDB: MongoDB-compatible document database
• Amazon Neptune: Graph database for connected data
• Amazon Redshift: Data warehouse for analytics

AWS databases are battle-tested at massive scale, offer granular configuration, and can be placed within the same VPC as your application for minimal latency. The tradeoff is complexity in setup and management.

Scalability and Limits#

Vercel#

| Parameter | Hobby | Pro | Enterprise | |-----------|-------|-----|------------| | Bandwidth | 100 GB | 1 TB | Custom | | Serverless Execution | 100 GB-hrs | 1000 GB-hrs | Custom | | Build timeout | 45 min | 45 min | Custom | | Serverless timeout | 10 s | 60 s | 900 s | | Edge Middleware | 1 MB | 2 MB | 4 MB | | Deploys per day | 100 | 6000 | Unlimited | | Concurrent builds | 1 | 1 | Custom |

Vercel limitations:

• Serverless functions have execution time limits (10-900s depending on plan)
• Edge Functions are restricted to Edge Runtime (no full Node.js API)
• Deployment package size has limits (250 MB compressed)
• No native WebSocket support (requires external solutions like Pusher/Ably)
• No persistent storage - external databases required

AWS#

AWS has virtually no upper scalability limits:

• EC2: Auto Scaling Groups can scale to thousands of instances
• Lambda: Default 1000 concurrent executions (can be increased to 10,000+)
• CloudFront: No hard bandwidth limit
• ECS/Fargate: On-demand container scaling

AWS scalability advantages:

• Full control over scaling strategy (CPU, memory, custom metrics)
• Ability to mix On-Demand and Spot instances
• Reserved Capacity for predictable workloads
• Multi-region deployment with Route 53 failover
• No runtime restrictions - full Node.js API, WebSockets, long-running processes

Vendor Lock-in - What to Watch For#

Vercel Lock-in#

Vercel is tightly coupled with Next.js, which creates a degree of lock-in:

• Edge Middleware: Vercel-specific API, difficult to port
• Image Optimization: next/image on Vercel uses their optimization service - on another platform, you need an alternative
• Vercel KV, Blob, Postgres: Managed storage solutions tied to the platform
• Analytics and Speed Insights: Vercel-specific
• ISR / On-Demand Revalidation: Works natively on Vercel, requires configuration on other platforms

Mitigating factors: Next.js itself is open-source and can be self-hosted. Most application code (components, pages, API routes) is fully portable. Lock-in mainly concerns platform-specific features and optimizations.

AWS Lock-in#

AWS also creates lock-in, though in a different way:

• IAM, VPC, Security Groups: Security configuration specific to AWS
• Lambda@Edge / CloudFront Functions: Deployment model specific to AWS
• DynamoDB, SQS, SNS: Managed services without direct equivalents
• SST / CDK: Infrastructure-as-Code tied to AWS

Mitigating factors: Containerization (Docker) facilitates migration. Standard protocols (HTTP, SQL, S3-compatible storage) reduce lock-in. Terraform supports multi-cloud deployments.

Self-Hosted Next.js on AWS - When Is It Worth It?#

Self-hosting Next.js on AWS (EC2, ECS, or Lambda) makes sense in the following cases:

Regulatory requirements: GDPR, data residency, compliance requiring full control over data location and infrastructure. Vercel stores data in various regions, which may not meet regulatory requirements.

High traffic: With high, predictable traffic (>1M pageviews/month), self-hosting on AWS is typically cheaper than Vercel Pro/Enterprise.

Advanced runtime requirements: WebSockets, long-running processes, custom binary dependencies, GPU computing - features unavailable on Vercel.

Existing AWS infrastructure: If your team already uses AWS and has built CI/CD, monitoring, and security - adding Next.js to the existing stack is natural.

Multi-service architecture: When Next.js is the frontend for microservices running on AWS - internal communication (VPC, private networking) is faster and cheaper.

// next.config.js - configuration for self-hosted Next.js
/** @type {import('next').NextConfig} */
const nextConfig = {
  output: 'standalone', // Generates standalone server
  images: {
    loader: 'custom',   // Custom loader instead of Vercel
    loaderFile: './lib/image-loader.ts',
    // Or use an external service
    remotePatterns: [
      {
        protocol: 'https',
        hostname: 'images.example.com',
      },
    ],
  },
  experimental: {
    // Adjust for self-hosting needs
  },
};

module.exports = nextConfig;

Comparison Table#

| Criterion | Vercel | AWS | |-----------|--------|-----| | Time to first deployment | 2-5 minutes | 30 min - 2 days | | Learning curve | Low | High | | Zero-config deployment | Yes | No (Amplify: partially) | | Preview deployments | Built-in | Amplify: yes, others: manual | | CDN | Built-in (100+ PoP) | CloudFront (450+ PoP) | | Edge Functions | Edge Runtime | Lambda@Edge / CF Functions | | SSL | Automatic | ACM (free, manual configuration) | | Custom domains | Simple | Route 53 + configuration | | WebSockets | No native support | Full support | | Serverless timeout | 10-900s | Up to 15 min (Lambda) | | Scalability | Automatic (with limits) | Virtually unlimited | | Cost - low traffic | Free (Hobby) | $5-60/month | | Cost - high traffic | High | Moderate | | Vendor lock-in | Moderate | Moderate to high | | Monitoring | Built-in (basic) | CloudWatch (advanced) | | Databases | Vercel Postgres/KV (managed) | RDS, DynamoDB, ElastiCache (full range) | | Compliance | SOC 2, HIPAA (Enterprise) | Full certifications (SOC, HIPAA, PCI, ISO) | | Support | Community / Pro / Enterprise | Paid support plans |

When to Choose Vercel#

Vercel is the ideal choice in the following scenarios:

• Startups and MVPs: The free Hobby plan allows for a quick start without infrastructure costs. You focus on the product, not on DevOps.
• Small to medium projects: Blogs, company websites, landing pages, portfolios - Vercel offers the best simplicity-to-performance ratio.
• Teams without DevOps: If you do not have a dedicated DevOps engineer, Vercel takes the entire burden of infrastructure management off your shoulders.
• Projects requiring fast iterations: Preview deployments and instant rollbacks accelerate the development cycle.
• Jamstack and headless CMS: Vercel is optimized for SSG/ISR with headless CMS (Contentful, Sanity, Strapi).

When to Choose AWS#

AWS is the better choice in these cases:

• Enterprise and large organizations: Full control, compliance, dedicated VPCs, advanced security.
• High-traffic applications: Predictable costs at high volume, Reserved Instances, Savings Plans.
• Regulatory requirements: Data residency, strict GDPR compliance, infrastructure auditing.
• Complex architectures: Microservices, event-driven architecture, real-time features (WebSockets).
• Existing AWS ecosystem: When the rest of your infrastructure already runs on AWS - natural integration.
• Full runtime control: Custom binaries, GPU, long-running tasks, specific Node.js versions.

The Hybrid Approach#

It is worth mentioning the hybrid approach that combines the advantages of both platforms:

• Frontend (Next.js) on Vercel: Leverage zero-config deployment, Edge Network, and preview deployments
• Backend (APIs, databases, services) on AWS: Full control over data, security, and backend scalability
• Communication via API: Next.js on Vercel communicates with APIs on AWS through public or private endpoints

This approach gives you the best of both worlds: the speed and simplicity of Vercel for the frontend plus the flexibility of AWS for the backend.

Conclusion#

The choice between Vercel and AWS for Next.js applications comes down to a tradeoff between simplicity and control. Vercel offers unmatched ease of use and native integration with Next.js - ideal for teams that want to focus on the product. AWS provides full control, flexibility, and potentially lower costs at scale - at the expense of complexity and DevOps requirements.

For most projects, we recommend starting with Vercel - quick start, free plan, and no need to manage infrastructure. When the project grows and specific requirements emerge (compliance, costs, advanced features), migration to AWS is always possible thanks to Next.js portability.

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Need help choosing and implementing hosting for your Next.js application? At MDS Software Solutions Group, we help companies make the best architectural decisions and implement solutions on both Vercel and AWS. Contact us to discuss your project - we will recommend the best solution tailored to your needs and budget.