software
AWS vs Vercel 2026: Comparison & Guide
AWS is a comprehensive, pay-as-you-go cloud infrastructure platform serving enterprise-scale applications, while Vercel is a specialized, developer-focused platform optimized for deploying and scaling frontend applications with built-in Git integration and edge deployment. AWS requires more configuration and DevOps expertise, whereas Vercel prioritizes simplicity for modern web frameworks like Next.js.
AW
Amazon Web Services (AWS)
Market-leading cloud platform with 200+ services and 32% global market share
Enterprise teams building complex multi-service architectures, applications requiring specialized services (ML, data pipelines), and projects needing maximum infrastructure control and customization.
Score63%
VS
V
Vercel
Developer-focused platform optimizing frontend application deployment, edge computing, and serverless functions with Git-native workflows.
Frontend developers deploying Next.js/React applications, teams prioritizing rapid iteration and Git-based workflows, startups and indie developers building modern web applications without heavy backend requirements.
Score63%
Quick Answer
AI SummaryAWS is a comprehensive, pay-as-you-go cloud infrastructure platform serving enterprise-scale applications, while Vercel is a specialized, developer-focused platform optimized for deploying and scaling frontend applications with built-in Git integration and edge deployment. AWS requires more configuration and DevOps expertise, whereas Vercel prioritizes simplicity for modern web frameworks like Next.js.
Our Verdict
AI-assistedChoose AWS if you need enterprise-scale infrastructure, multiple services (databases, ML, streaming), complex multi-region deployments, or cost optimization at high traffic volumes (1M+ requests/month). Choose Vercel if you're deploying modern frontend applications, prioritize developer velocity, want zero-config Git-based workflows, or are building Next.js/React projects with serverless functions for under 10M requests/month.
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A
Amazon Web Services (AWS)
8.1/10
Vercel
6.9/10
V
A
Choose Amazon Web Services (AWS) if
Best pickEnterprise teams building complex multi-service architectures, applications requiring specialized services (ML, data pipelines), and projects needing maximum infrastructure control and customization.
V
Choose Vercel if
Frontend developers deploying Next.js/React applications, teams prioritizing rapid iteration and Git-based workflows, startups and indie developers building modern web applications without heavy backend requirements.
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Key Differences at a Glance
- Primary Use Case:Full-stack infrastructure (compute, storage, databases, ML, analytics) vs Frontend deployment and edge computing (Next.js, React, Vue optimized)
- Setup Complexity:✓ Vercel wins(Low - Git push triggers automatic deployment in <2 minutes vs High - requires AWS console navigation, IAM setup, security configuration)
- Pricing Model:✓ Amazon Web Services (AWS) wins($0 upfront with per-second metering (EC2: $0.0116/hour for t3.micro) vs Freemium with usage-based Pro tier ($20/month or $20+ per project))
Key Facts & Figures
140 numeric metrics compared
| Metric | Amazon Web Services (AWS) | Vercel | Ratio |
|---|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | — | — |
| Archival Storage Cost($/GB/month) | $0.004 | — | — |
| Market Share 2026(%) | 32% | — | — |
| Global Market Share (2026)(%) | 32% | — | — |
| Total Available Services(services) | 200+ | — | — |
| Global Availability Zones(zones) | 33 | — | — |
| Pricing Model Complexity(simplicity score) | 5/10 | — | — |
| ML/AI Service Innovation Rating(score) | 8/10 | — | — |
| Windows/Active Directory Integration(native score) | 4/10 | — | — |
| Supported Cloud Providers(count) | AWS only | — | — |
| Global Geographic Regions(regions) | 33 regions | — | — |
| Availability Zones (AWS regions)(zones) | 105+ zones | — | — |
| Available Services/Integrations(count) | 190+ native services | — | — |
| Time to Provision Standard EC2 Instance(seconds) | 30-45 (via Console/CLI) | — | — |
| Monthly Cost (1 vCPU, 1GB RAM, Standard Instance)(USD) | $9.50 (t3.micro on-demand) | — | — |
| Outbound Data Transfer Cost per GB(USD) | $0.0116 | — | — |
| Global Data Center Regions(regions) | 33 regions | — | — |
| Global Market Share(%) | 32% | — | — |
| Service Count(services) | 200+ | — | — |
| Compute Cost (e2-medium equivalent)(USD/hour) | $0.0416 | — | — |
| Data Transfer Out Cost(USD/GB) | $0.02 | — | — |
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | — | — |
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | — | — |
| Enterprise Support Annual Cost(USD) | $15,000 | — | — |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | — | — |
| Available Cloud Services/Products(count) | 200+ | — | — |
| Free Tier Duration(months) | 12 months + always-free services | — | — |
| Premium Support Response Time(minutes) | 1 hour (Business Support) | — | — |
| Monthly Cost for 10TB Egress Data Transfer(USD) | $116 (after 1GB free) | — | — |
| Minimum Setup Time(minutes) | 120 minutes | — | — |
| Average Cold Start Latency(milliseconds) | 125ms (Lambda standard) | 85ms (with edge caching) | |
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | 2 (connect GitHub, auto-deploy) | |
| Built-in Database Support(count) | 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream) | 0 (integrations only) | |
| SLA Uptime Guarantee(percent) | 99.99% (us-east-1 region) | 99.95% (global) | |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | Unlimited (auto-scales serverless) | — |
| Estimated Learning Time for New Developer(hours) | 80-100 hours | 5-8 hours | |
| Supported Programming Languages for IaC(languages) | 3 languages (YAML, JSON, TypeScript/Python/Java via CDK) | — | — |
| Available Services/Resources(services) | 200+ AWS-specific services (largest portfolio in cloud) | — | — |
| Free Tier Cost(USD/month) | Free (1 year, then pay-as-you-go infrastructure costs) | — | — |
| AWS Regions/Availability Zones(regions) | 33+ geographic regions with 105+ availability zones | — | — |
| Certified Professionals(people) | 1M+ AWS Certified professionals | — | — |
| Minimum Monthly Cost(USD) | $0 (free tier + pay-per-use) | $0 (Free) or $20/month (Pro) | |
| Cost for Standard Production App (2 dynos + add-ons)(USD/month) | $100-150 (EC2 Reserved + RDS) | — | — |
| Number of Available Services/Products(count) | 200+ | — | — |
| Maximum RAM per Instance(GB) | 24,576 | — | — |
| Lambda/Serverless Cold Start Latency(milliseconds) | 100-3000 | — | — |
| Global Regions Available(regions) | 32 regions | — | — |
| Global Data Centers(count) | 31 regions | — | — |
| Available Services(count) | 200+ services | — | — |
| Starting Monthly Cost(USD) | $0.01 (variable by service) | — | — |
| Setup Time (Minutes)(minutes) | 120+ minutes (full configuration) | — | — |
| Dedicated Database Services(services) | 15+ (RDS, DynamoDB, Redshift, etc.) | — | — |
| Typical Edge Response Time(milliseconds) | ~80ms (median global) | — | — |
| Maximum DDoS Mitigation Capacity(Tbps) | ~700 Gbps (AWS Shield Advanced) | — | — |
| Global Market Share (Cloud IaaS)(%) | 32% | — | — |
| Total Cloud Services(count) | 200+ | — | — |
| Compute Instance Starting Price (hourly)(USD) | $0.0116/hour (t3.micro) | — | — |
| Reserved Instance Discount (1-year)(%) | up to 72% | — | — |
| Machine Learning Service Maturity(years) | SageMaker (launched 2017) | — | — |
| Available Services/Features(count) | 200+ services | — | — |
| Average Global Latency(milliseconds) | 50-150ms | — | — |
| Starting Monthly Price(USD/month) | Pay-as-you-go from $0 | — | — |
| Cloud Market Share(percentage) | 32% of public cloud (2024) | — | — |
| Time to First Deployment(minutes) | 120-240 minutes | — | — |
| Number of Integrated Services(services) | 200+ services | — | — |
| Free Tier Database Storage(GB) | 0.75GB RDS micro (750 hours/month) | — | — |
| Cost at 1 Million Daily Active Users(USD per month) | $3,000-8,000 (optimized EC2 + RDS) | — | — |
| Average Learning Curve(weeks to productivity) | 8-12 weeks | — | — |
| Developer Adoption Rate(% of cloud developers) | 32% of developers use AWS | — | — |
| Global Edge Locations(count) | 600+ | 300+ | |
| Serverless Function Timeout(minutes) | 15 minutes | 12 minutes | |
| Max Serverless Memory(GB) | 10 GB | 3 GB | |
| Serverless Function Cost per 1M Requests(USD) | $0.20 | $0.50 | |
| Minimum Monthly Cost (Paid Tier)(USD) | $0 (pay-per-use only) | $20 (Pro plan minimum) | |
| Deployment Time from Git Push(seconds) | 300-900 (5-15 minutes) | 60-120 (1-2 minutes) | |
| Native Database Options(count) | 24+ (RDS, DynamoDB, Aurora, Redshift, etc.) | 0 (integration-only) | |
| Setup Complexity (Learning Hours Required)(hours) | 40+ hours for foundational AWS certification | <2 hours for first Next.js deployment | |
| Uptime SLA Guarantee(percent) | 99.99% (multi-region) | — | — |
| Total Services/Products(count) | 200+ | — | — |
| Compute Instance Pricing (on-demand)(USD/vCPU/hour) | $0.0535 | — | — |
| Global Regions(regions) | 33 | — | — |
| Fortune 500 Adoption Rate(%) | 65% | — | — |
| Free Tier Credit Duration(months) | 12 months | — | — |
| Company Valuation(USD billion) | $9.3B | $9.3B | |
| Annualized Recurring Revenue(USD Millions) | $340M | $340M | |
| Total Funding Raised(USD Millions) | $863M | $863M | |
| Founding Year(Year) | 2015 | 2015 | |
| YoY Revenue Growth Rate(Percent) | 86% | 86% | |
| Starter Pricing(USD/month) | $20 | $20 | |
| Global Data Centers(locations) | 200+ | 200+ | |
| Function Cold Start(milliseconds) | 50-100ms | 50-100ms | |
| Pro Plan Cost(USD/month per user/base) | $20 | $20 | |
| Database Integrations(count) | 3-4 options | 3-4 options | |
| Serverless Cold Start(milliseconds) | <100ms average | <100ms average | |
| Cold Start Time(ms) | 100-300ms | 100-300ms | |
| Free Tier Bandwidth(GB/month) | 100GB | 100GB | |
| Native Database Support | None (external only) | None (external only) | |
| Add-on Marketplace Size(integrations) | Native integrations limited (Git-based) | Native integrations limited (Git-based) | |
| Production Dyno Cost(USD/month) | $20 (Pro plan) | $20 (Pro plan) | |
| Cold Start Time (Function)(milliseconds) | 50-100ms | 50-100ms | |
| Starting Pro Plan Price(USD/month) | $20 | $20 | |
| Supported Languages (via Framework/Docker)(count) | 35+ frameworks | 35+ frameworks | |
| Cold Start Latency(milliseconds) | 50-100ms | 50-100ms | |
| Database Storage (Free Tier)(GB) | 1 GB (Vercel Postgres) | 1 GB (Vercel Postgres) | |
| Integrated Services(count) | 15-20 services | 15-20 services | |
| Compute Regions Available(regions) | 150+ (edge) | 150+ (edge) | |
| Compute Price (vCPU/hour)(USD) | $0.10-0.50 per Serverless Function GB-hr | $0.10-0.50 per Serverless Function GB-hr | |
| Setup Complexity (1-10 scale)(complexity score) | 1/10 (git push automatic deployment) | 1/10 (git push automatic deployment) | |
| Starter Plan Monthly Cost(USD) | $20/month | $20/month | |
| Edge Function Cold Start(milliseconds) | ~50 ms | ~50 ms | |
| Standard Deployment Cold Start(milliseconds) | 200-400ms | 200-400ms | |
| Edge Network Locations(regions) | 180+ edge locations | 180+ edge locations | |
| Supported Frameworks/Languages(count) | Next.js optimized (Node.js compatible) | Next.js optimized (Node.js compatible) | |
| Average Cold Start Time(seconds) | 0.5-1.2 | 0.5-1.2 | |
| Free Tier Monthly Bandwidth(GB) | 100GB/month | 100GB/month | |
| Serverless Function Cost (per 1M invocations)(USD) | $2.00 | $2.00 | |
| Average Deployment Time(seconds) | 45 seconds | 45 seconds | |
| Free Tier Deployments Per Day(deployments/day) | 3 | 3 | |
| Third-Party Integrations(integrations) | 150+ | 150+ | |
| Edge Function Latency Reduction(milliseconds) | 30-50ms faster than origin | 30-50ms faster than origin | |
| Serverless Function Cold Start(milliseconds) | 50-100ms | 50-100ms | |
| Function Invocation Cost(USD per million) | $0.50 | $0.50 | |
| Free Monthly Function Invocations(millions) | 1 million | 1 million | |
| Edge Node Locations(count) | ~180 regions | ~180 regions | |
| Deployment Speed (avg)(seconds) | 2.3 seconds | 2.3 seconds | |
| Analytics Tool Cost(USD/month) | $20 (Web Analytics) | $20 (Web Analytics) | |
| Pro Plan Monthly Cost(USD/month per user) | $20/month | $20/month | |
| Free Tier Bandwidth Limit(GB/month) | 100 | 100 | |
| Next.js Build Optimization(% faster) | 15-25% faster | 15-25% faster | |
| Time to First Deploy(minutes) | < 1 (git push) | < 1 (git push) | |
| Average Build Time (Next.js)(seconds) | 35 sec | 35 sec | |
| Free Tier Build Minutes/Month(minutes) | 6,000 min | 6,000 min | |
| Free Tier Monthly Credit(USD) | $0 (usage-based) | $0 (usage-based) | |
| Edge Network Coverage(cities) | 280+ cities | 280+ cities | |
| Supported Backend Languages(count) | 2 (Node.js, Python) | 2 (Node.js, Python) | |
| Starter Plan Pricing(USD/month) | Free | Free | |
| Team Collaboration Plan(USD/month) | $20/month | $20/month | |
| Supported Languages(count) | JavaScript/TypeScript, limited Python support | JavaScript/TypeScript, limited Python support | |
| Global Edge Network Coverage(cities) | 180+ cities worldwide | 180+ cities worldwide | |
| Deployment Time(seconds) | 10-20 seconds | 10-20 seconds |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
AW
4Amazon Web Services (AWS)Amazon Web Services (AWS) leads1 tie
V
2VercelAmazon Web Services (AWS)
Attribute
Vercel
- Full-stack infrastructure (compute, storage, databases, ML, analytics)Primary Use CaseFrontend deployment and edge computing (Next.js, React, Vue optimized)
- High - requires AWS console navigation, IAM setup, security configurationSetup ComplexityLow - Git push triggers automatic deployment in <2 minutes(winner)
- $0 upfront with per-second metering (EC2: $0.0116/hour for t3.micro)(winner)Pricing ModelFreemium with usage-based Pro tier ($20/month or $20+ per project)
- CloudFront with 600+ edge locations worldwide(winner)Global Edge NetworkVercel Edge Network with 300+ regions, optimized for static assets and serverless
- RDS, DynamoDB, Aurora, Redshift (24+ database options)(winner)Database IntegrationNo native database; integrates with Postgres/MongoDB via third-party APIs
- Steep - 200+ AWS services, requires certification training (avg 40+ hours)Learning CurveMinimal - optimized for developers familiar with Git workflows(winner)
- AWS Lambda (15-minute timeout, 10GB memory max, $0.20 per 1M requests)(winner)Serverless FunctionsVercel Functions (12-minute timeout, 3GB memory, $0.50 per 1M requests)
- Primary Use Case
Amazon Web Services (AWS)
Full-stack infrastructure (compute, storage, databases, ML, analytics)
Vercel
Frontend deployment and edge computing (Next.js, React, Vue optimized)
- Setup Complexity
Amazon Web Services (AWS)
High - requires AWS console navigation, IAM setup, security configuration
Vercel
Low - Git push triggers automatic deployment in <2 minutes(winner)
- Pricing Model
Amazon Web Services (AWS)
$0 upfront with per-second metering (EC2: $0.0116/hour for t3.micro)(winner)
Vercel
Freemium with usage-based Pro tier ($20/month or $20+ per project)
- Global Edge Network
Amazon Web Services (AWS)
CloudFront with 600+ edge locations worldwide(winner)
Vercel
Vercel Edge Network with 300+ regions, optimized for static assets and serverless
- Database Integration
Amazon Web Services (AWS)
RDS, DynamoDB, Aurora, Redshift (24+ database options)(winner)
Vercel
No native database; integrates with Postgres/MongoDB via third-party APIs
- Learning Curve
Amazon Web Services (AWS)
Steep - 200+ AWS services, requires certification training (avg 40+ hours)
Vercel
Minimal - optimized for developers familiar with Git workflows(winner)
- Serverless Functions
Amazon Web Services (AWS)
AWS Lambda (15-minute timeout, 10GB memory max, $0.20 per 1M requests)(winner)
Vercel
Vercel Functions (12-minute timeout, 3GB memory, $0.50 per 1M requests)
Full Comparison
| Attribute | Amazon Web Services (AWS) | Vercel |
|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | — |
| Archival Storage Cost($/GB/month) | $0.004 | — |
| Pricing Model Complexity(simplicity score) | 5/10 | — |
| Base Software Cost(USD) | Pay-per-use only | — |
| Terraform Cloud Team Plan Cost(USD/month per user) | N/A | — |
Show 36 more attributesMonthly Cost (1 vCPU, 1GB RAM, Standard Instance)(USD) $9.50 (t3.micro on-demand) — Outbound Data Transfer Cost per GB(USD) $0.0116 — Compute Cost (e2-medium equivalent)(USD/hour) $0.0416 — Data Transfer Out Cost(USD/GB) $0.02 — Free Tier Duration(months) 12 months + always-free services — Monthly Cost for 10TB Egress Data Transfer(USD) $116 (after 1GB free) — Free Tier Cost(USD/month) Free (1 year, then pay-as-you-go infrastructure costs) — Minimum Monthly Cost(USD) $0 (free tier + pay-per-use) $0 (Free) or $20/month (Pro) Cost for Standard Production App (2 dynos + add-ons)(USD/month) $100-150 (EC2 Reserved + RDS) — Starting Monthly Cost(USD) $0.01 (variable by service) — Compute Instance Starting Price (hourly)(USD) $0.0116/hour (t3.micro) — Reserved Instance Discount (1-year)(%) up to 72% — Starting Monthly Price(USD/month) Pay-as-you-go from $0 — Free Tier Database Storage(GB) 0.75GB RDS micro (750 hours/month) — Serverless Function Cost per 1M Requests(USD) $0.20 $0.50 Minimum Monthly Cost (Paid Tier)(USD) $0 (pay-per-use only) $20 (Pro plan minimum) Starter Pricing(USD/month) $20 — Free Tier Allowance(USD/month) Unlimited — Pro Plan Cost(USD/month per user/base) $20 — Production Dyno Cost(USD/month) $20 (Pro plan) — Starting Pro Plan Price(USD/month) $20 — Monthly Free Credits/Tier(USD) Free tier (limited) — Free Tier Compute(vCPU hours/month) Unlimited Functions (100GB bandwidth) — Compute Price (vCPU/hour)(USD) $0.10-0.50 per Serverless Function GB-hr — Starter Plan Monthly Cost(USD) $20/month — Free Tier Included Features(text) Limited deployments, 12 serverless function invocations/day — Free Tier Monthly Bandwidth(GB) 100GB/month — Serverless Function Cost (per 1M invocations)(USD) $2.00 — Function Invocation Cost(USD per million) $0.50 — Free Monthly Function Invocations(millions) 1 million — Analytics Tool Cost(USD/month) $20 (Web Analytics) — Pro Plan Monthly Cost(USD/month per user) $20/month — Free Tier Bandwidth Limit(GB/month) 100 — Free Tier Monthly Credit(USD) $0 (usage-based) — Starter Plan Pricing(USD/month) Free — Team Collaboration Plan(USD/month) $20/month — | ||
| AI/ML Model Flexibility | Multiple models via Bedrock | — |
| Hybrid Cloud Support Maturity | AWS Outposts (limited) | — |
| Global Availability Zones(zones) | 33 | — |
| Global Geographic Regions(regions) | 33 regions | — |
| Availability Zones (AWS regions)(zones) | 105+ zones | — |
| Global Data Center Regions(regions) | 33 regions | — |
Show 10 more attributesGlobal Data Centers(count) 31 regions — Global Edge Locations(count) 600+ 300+ Native Database Options(count) 24+ (RDS, DynamoDB, Aurora, Redshift, etc.) 0 (integration-only) Global Regions(regions) 33 — Global Data Centers(locations) 200+ — Compute Regions Available(regions) 150+ (edge) — Regions Available(regions) Automatic (280 edge locations) — Edge Network Locations(regions) 180+ edge locations — Edge Node Locations(count) ~180 regions — Global Edge Network Coverage(cities) 180+ cities worldwide — | ||
| Container Serverless Performance | Fargate (feature-rich) | — |
| Market Share 2026(%) | 32% | — |
| Global Market Share (2026)(%) | 32% | — |
| Global Market Share(%) | 32% | — |
| Global Market Share (Cloud IaaS)(%) | 32% | — |
| Cloud Market Share(percentage) | 32% of public cloud (2024) | — |
| Total Available Services(services) | 200+ | — |
| ML/AI Service Innovation Rating(score) | 8/10 | — |
| Hybrid Cloud Support Level(capability) | Moderate (Outposts) | — |
| SQL Server Database Support(text) | RDS for SQL Server (third-party) | — |
| Windows/Active Directory Integration(native score) | 4/10 | — |
| Developer Community Size(millions) | Largest | — |
| GitHub Stars(stars) | N/A (not a single GitHub repo) | — |
| Container/Kubernetes Strength(native integration) | Strong (ECS/EKS) | — |
| BigQuery-Grade Analytics(capability) | Via Athena/Redshift | — |
| Supported Cloud Providers(count) | AWS only | — |
| Add-on Marketplace Size(integrations) | Native integrations limited (Git-based) | — |
| Available Services/Integrations(count) | 190+ native services | — |
| Total Cloud Services(count) | 200+ | — |
| Time to Provision Standard EC2 Instance(seconds) | 30-45 (via Console/CLI) | — |
| Average Cold Start Latency(milliseconds) | 125ms (Lambda standard) | 85ms (with edge caching)(winner) |
| Lambda/Serverless Cold Start Latency(milliseconds) | 100-3000 | — |
| Typical Edge Response Time(milliseconds) | ~80ms (median global) | — |
| Average Global Latency(milliseconds) | 50-150ms | — |
Show 19 more attributesServerless Function Timeout(minutes) 15 minutes 12 minutes Max Serverless Memory(GB) 10 GB 3 GB Function Cold Start(milliseconds) 50-100ms — CDN Coverage(global regions) 200+ edge locations — Serverless Cold Start(milliseconds) <100ms average — Cold Start Time(ms) 100-300ms — Cold Start Time (Function)(milliseconds) 50-100ms — Cold Start Latency(milliseconds) 50-100ms — Edge Function Cold Start(milliseconds) ~50 ms — Standard Deployment Cold Start(milliseconds) 200-400ms — Average Cold Start Time(seconds) 0.5-1.2 — Average Deployment Time(seconds) 45 seconds — Edge Function Latency Reduction(milliseconds) 30-50ms faster than origin — Serverless Function Cold Start(milliseconds) 50-100ms — Deployment Speed (avg)(seconds) 2.3 seconds — Next.js Build Optimization(% faster) 15-25% faster — Average Build Time (Next.js)(seconds) 35 sec — Edge Network Coverage(cities) 280+ cities — Deployment Time(seconds) 10-20 seconds — | ||
| GitHub Integration for IaC(native support) | AWS CloudFormation requires manual GitHub setup | — |
| Built-in CI/CD Pipeline(included) | No, requires CodePipeline ($0.02/active pipeline) | — |
| Service Count(services) | 200+ | — |
| Number of Available Services/Products(count) | 200+ | — |
| Available Services/Features(count) | 200+ services | — |
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | — |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | — |
| Supported Programming Languages for IaC(languages) | 3 languages (YAML, JSON, TypeScript/Python/Java via CDK) | — |
| Deployment Time from Git Push(seconds) | 300-900 (5-15 minutes) | 60-120 (1-2 minutes)(winner) |
| Setup Complexity (Learning Hours Required)(hours) | 40+ hours for foundational AWS certification | <2 hours for first Next.js deployment(winner) |
Show 4 more attributesPreview Environments(deployments) Automatic per git branch — Next.js Framework Optimization Native (created by Vercel team) — Learning Curve for New Users Beginner-friendly — Time to First Deploy(minutes) < 1 (git push) — | ||
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | — |
| Enterprise Support Annual Cost(USD) | $15,000 | — |
| Available Cloud Services/Products(count) | 200+ | — |
| AI/ML Service Availability(availability) | SageMaker, Bedrock, Forecast, Lookout, Kendra | — |
| Built-in Database Support(count) | 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream)(winner) | 0 (integrations only) |
| Available Services(count) | 200+ services | — |
| Database Integrations(count) | 3-4 options | — |
Show 14 more attributesNative Database Support None (external only) — Integrated Services(count) 15-20 services — Docker/Container Support(native support) Limited (Node.js focus) — ML/AI Services(count) API integrations only — Database Options(types) PostgreSQL only (Vercel Postgres) — Background Jobs(native support) Not included (external service required) — Built-in Database Options(count) 0 — Serverless Function Support Yes (Node.js, Python, Go) — Backend Function Support Limited (requires external platform) — Supported Frameworks 30+ (optimized for Next.js) — Environment Variables (Free)(count) Unlimited — Supported Backend Languages(count) 2 (Node.js, Python) — Next.js ISR/Image Optimization Native integration with auto-optimization — Integrated Database Hosting Third-party integrations required — | ||
| Premium Support Response Time(minutes) | 1 hour (Business Support) | — |
| Minimum Setup Time(minutes) | 120 minutes | — |
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | 2 (connect GitHub, auto-deploy)(winner) |
| Estimated Learning Time for New Developer(hours) | 80-100 hours | 5-8 hours(winner) |
| Setup Time (Minutes)(minutes) | 120+ minutes (full configuration) | — |
| Average Learning Curve(weeks to productivity) | 8-12 weeks | — |
| SLA Uptime Guarantee(percent) | 99.99% (us-east-1 region)(winner) | 99.95% (global) |
| Uptime SLA Guarantee(percent) | 99.99% (multi-region) | — |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | Unlimited (auto-scales serverless) |
| Maximum RAM per Instance(GB) | 24,576 | — |
| Multi-Cloud Support(cloud providers) | AWS only | — |
| Supported Languages (via Framework/Docker)(count) | 35+ frameworks | — |
| Supported Frameworks/Languages(count) | Next.js optimized (Node.js compatible) | — |
| Available Services/Resources(services) | 200+ AWS-specific services (largest portfolio in cloud) | — |
| AWS Regions/Availability Zones(regions) | 33+ geographic regions with 105+ availability zones | — |
| Certified Professionals(people) | 1M+ AWS Certified professionals | — |
| Global Regions Available(regions) | 32 regions | — |
| DDoS Protection Included | No (Shield Advanced: $3,000/month) | — |
| Maximum DDoS Mitigation Capacity(Tbps) | ~700 Gbps (AWS Shield Advanced) | — |
| Basic DDoS Protection Included | Layer 3/4 only (Advanced costs $3,000+/mo) | — |
| DDoS Protection Level | Basic (paid plans enhanced) | — |
| Enterprise Security Features(included) | SOC 2, DDoS, WAF included | — |
Show 1 more attributeDDoS Protection on Free Plan No, Pro+ required — | ||
| Dedicated Database Services(services) | 15+ (RDS, DynamoDB, Redshift, etc.) | — |
| Machine Learning Service Maturity(years) | SageMaker (launched 2017) | — |
| Setup Time(minutes) | 30-60+ minutes (account setup, IAM, networking) | — |
| Time to First Deployment(minutes) | 120-240 minutes | — |
| Number of Integrated Services(services) | 200+ services | — |
| Cost at 1 Million Daily Active Users(USD per month) | $3,000-8,000 (optimized EC2 + RDS) | — |
| Database Query Flexibility(complexity level) | Extensive—full SQL, custom queries, advanced analytics | — |
| Developer Adoption Rate(% of cloud developers) | 32% of developers use AWS | — |
| Total Services/Products(count) | 200+ | — |
| Compute Instance Pricing (on-demand)(USD/vCPU/hour) | $0.0535 | — |
| Free Tier Credit Duration(months) | 12 months | — |
| BigQuery Query Performance (1TB test)(seconds) | N/A (Redshift: 8-12s) | — |
| Fortune 500 Adoption Rate(%) | 65% | — |
| ML Service Leader(text) | SageMaker (good, broad) | — |
| Company Valuation(USD billion) | $9.3B | — |
| Annualized Recurring Revenue(USD Millions) | $340M | — |
| Total Funding Raised(USD Millions) | $863M | — |
| Founding Year(Year) | 2015 | — |
| Current Funding Stage | Series F | — |
| Primary Geographic HQ | Covina, California, USA | — |
| YoY Revenue Growth Rate(Percent) | 86% | — |
| Market Position (2026) | Enterprise market leader | — |
| Max Serverless Function Size(MB/GB) | 10GB | — |
| Database Integration | Native Vercel Postgres | — |
| Analytics Dashboard | Detailed Web Analytics | — |
| Free Trial Duration(days) | Unlimited free tier | — |
| Container Support(native support) | Limited (via Docker) | — |
| Free Tier Bandwidth(GB/month) | 100GB | — |
| Database Storage (Free Tier)(GB) | 1 GB (Vercel Postgres) | — |
| Setup Complexity (1-10 scale)(complexity score) | 1/10 (git push automatic deployment) | — |
| Built-in Authentication Systems | OAuth providers only | — |
| Monthly Active Users(millions) | 2.5M+ | — |
| Free Tier Deployments Per Day(deployments/day) | 3 | — |
| Next.js Framework Integration | Native first-class support | — |
| Third-Party Integrations(integrations) | 150+ | — |
| GitHub Actions Free Tier Minutes(minutes/month) | N/A | — |
| API Rate Limit (Free)(requests per minute) | Unlimited | — |
| Free Tier Build Minutes/Month(minutes) | 6,000 min | — |
| Supported Languages(count) | JavaScript/TypeScript, limited Python support | — |
AAmazon Web Services (AWS)
VVercel
Standard Storage Cost($/GB/month)
$0.023
—
Archival Storage Cost($/GB/month)
$0.004
—
Pricing Model Complexity(simplicity score)
5/10
—
Base Software Cost(USD)
Pay-per-use only
—
Terraform Cloud Team Plan Cost(USD/month per user)
N/A
—
Show 36 more attributes
Monthly Cost (1 vCPU, 1GB RAM, Standard Instance)(USD)
$9.50 (t3.micro on-demand)
—
Outbound Data Transfer Cost per GB(USD)
$0.0116
—
Compute Cost (e2-medium equivalent)(USD/hour)
$0.0416
—
Data Transfer Out Cost(USD/GB)
$0.02
—
Free Tier Duration(months)
12 months + always-free services
—
Monthly Cost for 10TB Egress Data Transfer(USD)
$116 (after 1GB free)
—
Free Tier Cost(USD/month)
Free (1 year, then pay-as-you-go infrastructure costs)
—
Minimum Monthly Cost(USD)
$0 (free tier + pay-per-use)
$0 (Free) or $20/month (Pro)
Cost for Standard Production App (2 dynos + add-ons)(USD/month)
$100-150 (EC2 Reserved + RDS)
—
Starting Monthly Cost(USD)
$0.01 (variable by service)
—
Compute Instance Starting Price (hourly)(USD)
$0.0116/hour (t3.micro)
—
Reserved Instance Discount (1-year)(%)
up to 72%
—
Starting Monthly Price(USD/month)
Pay-as-you-go from $0
—
Free Tier Database Storage(GB)
0.75GB RDS micro (750 hours/month)
—
Serverless Function Cost per 1M Requests(USD)
$0.20
$0.50
Minimum Monthly Cost (Paid Tier)(USD)
$0 (pay-per-use only)
$20 (Pro plan minimum)
Starter Pricing(USD/month)
$20
—
Free Tier Allowance(USD/month)
Unlimited
—
Pro Plan Cost(USD/month per user/base)
$20
—
Production Dyno Cost(USD/month)
$20 (Pro plan)
—
Starting Pro Plan Price(USD/month)
$20
—
Monthly Free Credits/Tier(USD)
Free tier (limited)
—
Free Tier Compute(vCPU hours/month)
Unlimited Functions (100GB bandwidth)
—
Compute Price (vCPU/hour)(USD)
$0.10-0.50 per Serverless Function GB-hr
—
Starter Plan Monthly Cost(USD)
$20/month
—
Free Tier Included Features(text)
Limited deployments, 12 serverless function invocations/day
—
Free Tier Monthly Bandwidth(GB)
100GB/month
—
Serverless Function Cost (per 1M invocations)(USD)
$2.00
—
Function Invocation Cost(USD per million)
$0.50
—
Free Monthly Function Invocations(millions)
1 million
—
Analytics Tool Cost(USD/month)
$20 (Web Analytics)
—
Pro Plan Monthly Cost(USD/month per user)
$20/month
—
Free Tier Bandwidth Limit(GB/month)
100
—
Free Tier Monthly Credit(USD)
$0 (usage-based)
—
Starter Plan Pricing(USD/month)
Free
—
Team Collaboration Plan(USD/month)
$20/month
—
AI/ML Model Flexibility
Multiple models via Bedrock
—
Hybrid Cloud Support Maturity
AWS Outposts (limited)
—
Global Availability Zones(zones)
33
—
Global Geographic Regions(regions)
33 regions
—
Availability Zones (AWS regions)(zones)
105+ zones
—
Global Data Center Regions(regions)
33 regions
—
Show 10 more attributes
Global Data Centers(count)
31 regions
—
Global Edge Locations(count)
600+
300+
Native Database Options(count)
24+ (RDS, DynamoDB, Aurora, Redshift, etc.)
0 (integration-only)
Global Regions(regions)
33
—
Global Data Centers(locations)
200+
—
Compute Regions Available(regions)
150+ (edge)
—
Regions Available(regions)
Automatic (280 edge locations)
—
Edge Network Locations(regions)
180+ edge locations
—
Edge Node Locations(count)
~180 regions
—
Global Edge Network Coverage(cities)
180+ cities worldwide
—
Container Serverless Performance
Fargate (feature-rich)
—
Market Share 2026(%)
32%
—
Global Market Share (2026)(%)
32%
—
Global Market Share(%)
32%
—
Global Market Share (Cloud IaaS)(%)
32%
—
Cloud Market Share(percentage)
32% of public cloud (2024)
—
Total Available Services(services)
200+
—
ML/AI Service Innovation Rating(score)
8/10
—
Hybrid Cloud Support Level(capability)
Moderate (Outposts)
—
SQL Server Database Support(text)
RDS for SQL Server (third-party)
—
Windows/Active Directory Integration(native score)
4/10
—
Developer Community Size(millions)
Largest
—
GitHub Stars(stars)
N/A (not a single GitHub repo)
—
Container/Kubernetes Strength(native integration)
Strong (ECS/EKS)
—
BigQuery-Grade Analytics(capability)
Via Athena/Redshift
—
Supported Cloud Providers(count)
AWS only
—
Add-on Marketplace Size(integrations)
Native integrations limited (Git-based)
—
Available Services/Integrations(count)
190+ native services
—
Total Cloud Services(count)
200+
—
Time to Provision Standard EC2 Instance(seconds)
30-45 (via Console/CLI)
—
Average Cold Start Latency(milliseconds)
125ms (Lambda standard)
85ms (with edge caching)
Lambda/Serverless Cold Start Latency(milliseconds)
100-3000
—
Typical Edge Response Time(milliseconds)
~80ms (median global)
—
Average Global Latency(milliseconds)
50-150ms
—
Show 19 more attributes
Serverless Function Timeout(minutes)
15 minutes
12 minutes
Max Serverless Memory(GB)
10 GB
3 GB
Function Cold Start(milliseconds)
50-100ms
—
CDN Coverage(global regions)
200+ edge locations
—
Serverless Cold Start(milliseconds)
<100ms average
—
Cold Start Time(ms)
100-300ms
—
Cold Start Time (Function)(milliseconds)
50-100ms
—
Cold Start Latency(milliseconds)
50-100ms
—
Edge Function Cold Start(milliseconds)
~50 ms
—
Standard Deployment Cold Start(milliseconds)
200-400ms
—
Average Cold Start Time(seconds)
0.5-1.2
—
Average Deployment Time(seconds)
45 seconds
—
Edge Function Latency Reduction(milliseconds)
30-50ms faster than origin
—
Serverless Function Cold Start(milliseconds)
50-100ms
—
Deployment Speed (avg)(seconds)
2.3 seconds
—
Next.js Build Optimization(% faster)
15-25% faster
—
Average Build Time (Next.js)(seconds)
35 sec
—
Edge Network Coverage(cities)
280+ cities
—
Deployment Time(seconds)
10-20 seconds
—
GitHub Integration for IaC(native support)
AWS CloudFormation requires manual GitHub setup
—
Built-in CI/CD Pipeline(included)
No, requires CodePipeline ($0.02/active pipeline)
—
Service Count(services)
200+
—
Number of Available Services/Products(count)
200+
—
Available Services/Features(count)
200+ services
—
ML Training Setup Time(hours)
8-12 hours (SageMaker)
—
Kubernetes Integration Complexity(manual steps)
18-25 steps (EKS setup)
—
Supported Programming Languages for IaC(languages)
3 languages (YAML, JSON, TypeScript/Python/Java via CDK)
—
Deployment Time from Git Push(seconds)
300-900 (5-15 minutes)
60-120 (1-2 minutes)
Setup Complexity (Learning Hours Required)(hours)
40+ hours for foundational AWS certification
<2 hours for first Next.js deployment
Show 4 more attributes
Preview Environments(deployments)
Automatic per git branch
—
Next.js Framework Optimization
Native (created by Vercel team)
—
Learning Curve for New Users
Beginner-friendly
—
Time to First Deploy(minutes)
< 1 (git push)
—
BigQuery Query Latency(seconds)
15-30 seconds (Athena, 1TB scan)
—
Enterprise Support Annual Cost(USD)
$15,000
—
Available Cloud Services/Products(count)
200+
—
AI/ML Service Availability(availability)
SageMaker, Bedrock, Forecast, Lookout, Kendra
—
Built-in Database Support(count)
8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream)
0 (integrations only)
Available Services(count)
200+ services
—
Database Integrations(count)
3-4 options
—
Show 14 more attributes
Native Database Support
None (external only)
—
Integrated Services(count)
15-20 services
—
Docker/Container Support(native support)
Limited (Node.js focus)
—
ML/AI Services(count)
API integrations only
—
Database Options(types)
PostgreSQL only (Vercel Postgres)
—
Background Jobs(native support)
Not included (external service required)
—
Built-in Database Options(count)
0
—
Serverless Function Support
Yes (Node.js, Python, Go)
—
Backend Function Support
Limited (requires external platform)
—
Supported Frameworks
30+ (optimized for Next.js)
—
Environment Variables (Free)(count)
Unlimited
—
Supported Backend Languages(count)
2 (Node.js, Python)
—
Next.js ISR/Image Optimization
Native integration with auto-optimization
—
Integrated Database Hosting
Third-party integrations required
—
Premium Support Response Time(minutes)
1 hour (Business Support)
—
Minimum Setup Time(minutes)
120 minutes
—
Setup Time to First Deploy(minutes)
45-60 (configure VPC, IAM, EC2, security groups)
2 (connect GitHub, auto-deploy)
Estimated Learning Time for New Developer(hours)
80-100 hours
5-8 hours
Setup Time (Minutes)(minutes)
120+ minutes (full configuration)
—
Average Learning Curve(weeks to productivity)
8-12 weeks
—
SLA Uptime Guarantee(percent)
99.99% (us-east-1 region)
99.95% (global)
Uptime SLA Guarantee(percent)
99.99% (multi-region)
—
Concurrent Connections per Instance(requests/second)
50,000+ (t3.large EC2)
Unlimited (auto-scales serverless)
Maximum RAM per Instance(GB)
24,576
—
Multi-Cloud Support(cloud providers)
AWS only
—
Supported Languages (via Framework/Docker)(count)
35+ frameworks
—
Supported Frameworks/Languages(count)
Next.js optimized (Node.js compatible)
—
Available Services/Resources(services)
200+ AWS-specific services (largest portfolio in cloud)
—
AWS Regions/Availability Zones(regions)
33+ geographic regions with 105+ availability zones
—
Certified Professionals(people)
1M+ AWS Certified professionals
—
Global Regions Available(regions)
32 regions
—
DDoS Protection Included
No (Shield Advanced: $3,000/month)
—
Maximum DDoS Mitigation Capacity(Tbps)
~700 Gbps (AWS Shield Advanced)
—
Basic DDoS Protection Included
Layer 3/4 only (Advanced costs $3,000+/mo)
—
DDoS Protection Level
Basic (paid plans enhanced)
—
Enterprise Security Features(included)
SOC 2, DDoS, WAF included
—
Show 1 more attribute
DDoS Protection on Free Plan
No, Pro+ required
—
Dedicated Database Services(services)
15+ (RDS, DynamoDB, Redshift, etc.)
—
Machine Learning Service Maturity(years)
SageMaker (launched 2017)
—
Setup Time(minutes)
30-60+ minutes (account setup, IAM, networking)
—
Time to First Deployment(minutes)
120-240 minutes
—
Number of Integrated Services(services)
200+ services
—
Cost at 1 Million Daily Active Users(USD per month)
$3,000-8,000 (optimized EC2 + RDS)
—
Database Query Flexibility(complexity level)
Extensive—full SQL, custom queries, advanced analytics
—
Developer Adoption Rate(% of cloud developers)
32% of developers use AWS
—
Total Services/Products(count)
200+
—
Compute Instance Pricing (on-demand)(USD/vCPU/hour)
$0.0535
—
Free Tier Credit Duration(months)
12 months
—
BigQuery Query Performance (1TB test)(seconds)
N/A (Redshift: 8-12s)
—
Fortune 500 Adoption Rate(%)
65%
—
ML Service Leader(text)
SageMaker (good, broad)
—
Company Valuation(USD billion)
$9.3B
—
Annualized Recurring Revenue(USD Millions)
$340M
—
Total Funding Raised(USD Millions)
$863M
—
Founding Year(Year)
2015
—
Current Funding Stage
Series F
—
Primary Geographic HQ
Covina, California, USA
—
YoY Revenue Growth Rate(Percent)
86%
—
Market Position (2026)
Enterprise market leader
—
Max Serverless Function Size(MB/GB)
10GB
—
Database Integration
Native Vercel Postgres
—
Analytics Dashboard
Detailed Web Analytics
—
Free Trial Duration(days)
Unlimited free tier
—
Container Support(native support)
Limited (via Docker)
—
Free Tier Bandwidth(GB/month)
100GB
—
Database Storage (Free Tier)(GB)
1 GB (Vercel Postgres)
—
Setup Complexity (1-10 scale)(complexity score)
1/10 (git push automatic deployment)
—
Built-in Authentication Systems
OAuth providers only
—
Monthly Active Users(millions)
2.5M+
—
Free Tier Deployments Per Day(deployments/day)
3
—
Next.js Framework Integration
Native first-class support
—
Third-Party Integrations(integrations)
150+
—
GitHub Actions Free Tier Minutes(minutes/month)
N/A
—
API Rate Limit (Free)(requests per minute)
Unlimited
—
Free Tier Build Minutes/Month(minutes)
6,000 min
—
Supported Languages(count)
JavaScript/TypeScript, limited Python support
—
Pros & Cons
10 pros·6 cons across both
AW
V
AW
Amazon Web Services (AWS)
+5-3
Pros
- 600+ global edge locations (CloudFront) for lowest latency worldwide
- 24+ native database options including RDS, DynamoDB, Aurora, and Redshift
- Lambda functions with 15-minute timeout and 10GB memory for long-running tasks
- Extensive machine learning services (SageMaker, Rekognition, Forecast)
- Free tier includes 750 hours EC2, 1M Lambda invocations, 5GB S3 storage annually
Cons
- Steep learning curve with 200+ services requiring specialized DevOps knowledge
- Complex pricing across multiple service tiers can lead to unexpected billing surprises
- Longer deployment cycles (5-15 minutes) compared to modern serverless platforms
V
Vercel
+5-3
Pros
- Automatic deployments triggered by Git push (GitHub, GitLab, Bitbucket) in under 2 minutes
- 300+ edge regions globally for sub-100ms latency on static assets and Next.js rendering
- Zero-configuration setup for Next.js projects with built-in image optimization and dynamic rendering
- Native support for preview deployments on every pull request for collaborative development
- Integrated analytics and Web Vitals monitoring dashboard included
Cons
- No native database storage; requires external Postgres/MongoDB providers (adds cost and complexity)
- 12-minute serverless function timeout and 3GB memory limit restricts long-running tasks
- Limited to frontend/serverless workflows; not suitable for traditional backend services or batch processing
Frequently Asked Questions
5 questions
Use Vercel if you're primarily deploying a Next.js frontend application and want to launch in hours with Git-based deployments, automatic preview branches, and zero DevOps setup. Use AWS if you need additional backend services (databases, machine learning, complex APIs), expect traffic over 10M requests/month where AWS Lambda becomes cost-competitive, or require highly specialized infrastructure like data warehouses or streaming services. Many teams use both: Vercel for frontend and Next.js API routes, AWS for backend services via API integration.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
As an affiliate, we may earn a commission from qualifying purchases at no extra cost to you. Learn more about our affiliate disclosure
Wikipedia
- W
Amazon Web Services (AWS) on Wikipedia (opens in new tab)
Market-leading cloud platform with 200+ services and 32% global market share
- W
Vercel on Wikipedia (opens in new tab)
Developer-focused platform optimizing frontend application deployment, edge computing, and serverless functions with Git-native workflows.
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