AWS vs Vercel
AW
Amazon Web Services (AWS)
Comprehensive cloud platform offering 200+ services for compute, storage, databases, and infrastructure.
Enterprise teams, data-heavy applications, multi-region deployments, and organizations with dedicated DevOps/SRE teams
VS
V
Vercel
Optimized frontend deployment platform with built-in CI/CD, edge functions, and Next.js integration.
Startups, Next.js developers, frontend engineers, agencies, and teams prioritizing deployment speed over infrastructure control
Short Answer
AWS is a comprehensive cloud infrastructure provider offering 200+ services for enterprise-scale deployments, while Vercel is a specialized frontend deployment platform optimized for Next.js and modern JavaScript applications with 99.95% uptime SLA. AWS requires deeper DevOps expertise, whereas Vercel prioritizes developer experience with zero-config deployments.
Our Verdict
AI-assistedChoose AWS if you need a complete infrastructure solution, require fine-grained control over databases/networking, or are building complex distributed systems at enterprise scale. Choose Vercel if you're deploying modern frontend applications, prioritize developer velocity, want automatic scaling without DevOps overhead, or are building Next.js/React applications with limited budgets.
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Amazon Web Services (AWS)6.7
8.3Vercel
Choose Amazon Web Services (AWS) if
Enterprise teams, data-heavy applications, multi-region deployments, and organizations with dedicated DevOps/SRE teams
Choose Vercel if
Startups, Next.js developers, frontend engineers, agencies, and teams prioritizing deployment speed over infrastructure control
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Key Differences at a Glance
🔹
Primary Use Case: Full-stack infrastructure (compute, storage, databases, networking) vs Frontend/Jamstack deployment and serverless functions
🔹
Setup Complexity: Vercel wins (Low - connect Git repo, deploy in 2 minutes vs High - requires AWS console navigation, IAM configuration, VPC setup)
🔹
Pricing Model: Vercel wins ($0 for hobby tier, $20/month pro tier with included bandwidth vs $0.0116/hour for t3.micro EC2 + separate storage/bandwidth costs)
Key Facts & Figures
| Metric | Amazon Web Services (AWS) | Vercel | Diff |
|---|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | — | — |
| Archival Storage Cost($/GB/month) | $0.004 | — | — |
| Global Data Centers(count) | 33 regions | — | — |
| 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% of global cloud infrastructure (2024) | — | — |
| 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(hours) | 1 hour (Business Support) | — | — |
| Monthly Cost for 10TB Egress Data Transfer(USD) | $116 (after 1GB free) | — | — |
| Minimum Setup Time(minutes) | 120 minutes | — | — |
| Minimum Monthly Cost(USD) | $4.34 (t3.micro EC2 only) | $0 (hobby tier) | — |
| Global Edge Locations(locations) | 280+ CloudFront locations | 280+ Vercel edge locations | — |
| Average Cold Start Latency(milliseconds) | 125ms (Lambda standard) | 85ms (with edge caching) | +47% |
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | 2 (connect GitHub, auto-deploy) | +2525% |
| Built-in Database Support(count) | 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream) | 0 (integrations only) | — |
| SLA Uptime Guarantee(percentage) | 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 | +1285% |
| 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 | — | — |
| Company Valuation(USD billions) | $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(seconds) | <0.1 seconds | <0.1 seconds | — |
| Free Tier Bandwidth(GB/month) | 100 GB/month | 100 GB/month | — |
| Supported Backend Languages(count) | 1 (Node.js primary) | 1 (Node.js primary) | — |
| Native Database Support | None (external only) | None (external only) | — |
| Production Dyno Cost(USD/month) | $20 (Pro plan) | $20 (Pro plan) | — |
| Cold Start Latency(milliseconds) | 50-100ms | 50-100ms | — |
| Integrated Services(count) | 15-20 services | 15-20 services | — |
| Native Database Options(count) | 0 native; integrations available | 0 native; integrations available | — |
| 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 rating) | 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) | 50-150ms | 50-150ms | — |
| 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(milliseconds) | ~100ms | ~100ms | — |
| Free Tier Monthly Bandwidth(GB) | 100GB | 100GB | — |
| Serverless Function Cost (per 1M invocations)(USD) | $2.00 | $2.00 | — |
| Average Deployment Time(weeks) | 45 seconds | 45 seconds | — |
| Free Tier Deployments Per Day(deployments/day) | 3 | 3 | — |
| Third-Party Integrations(count) | 150+ | 150+ | — |
| Edge Function Latency Reduction(milliseconds) | 30-50ms faster than origin | 30-50ms faster than origin | — |
All figures sourced from publicly available data. Last updated Jun 2026.
Key Differences
Amazon Web Services (AWS)
Attribute
Vercel
Full-stack infrastructure (compute, storage, databases, networking)
Primary Use Case
Frontend/Jamstack deployment and serverless functions
High - requires AWS console navigation, IAM configuration, VPC setup
Setup Complexity
Low - connect Git repo, deploy in 2 minutes🏆
$0.0116/hour for t3.micro EC2 + separate storage/bandwidth costs
Pricing Model
$0 for hobby tier, $20/month pro tier with included bandwidth🏆
50-200ms depending on Lambda configuration
Cold Start Time
Sub-100ms with edge network optimization🏆
280+ CloudFront edge locations worldwide
Global Edge Network
280+ Vercel edge locations + ISR support
RDS, DynamoDB, Aurora - enterprise-grade with full control🏆
Database Integration
Limited - supports Postgres, Redis through integrations only
100+ hours to master core services
Learning Curve (Hours)
5-10 hours to productive deployment🏆
Primary Use Case
Amazon Web Services (AWS)
Full-stack infrastructure (compute, storage, databases, networking)
Vercel
Frontend/Jamstack deployment and serverless functions
Setup Complexity
Amazon Web Services (AWS)
High - requires AWS console navigation, IAM configuration, VPC setup
Vercel
Low - connect Git repo, deploy in 2 minutes🏆
Pricing Model
Amazon Web Services (AWS)
$0.0116/hour for t3.micro EC2 + separate storage/bandwidth costs
Vercel
$0 for hobby tier, $20/month pro tier with included bandwidth🏆
Cold Start Time
Amazon Web Services (AWS)
50-200ms depending on Lambda configuration
Vercel
Sub-100ms with edge network optimization🏆
Global Edge Network
Amazon Web Services (AWS)
280+ CloudFront edge locations worldwide
Vercel
280+ Vercel edge locations + ISR support
Database Integration
Amazon Web Services (AWS)
RDS, DynamoDB, Aurora - enterprise-grade with full control🏆
Vercel
Limited - supports Postgres, Redis through integrations only
Learning Curve (Hours)
Amazon Web Services (AWS)
100+ hours to master core services
Vercel
5-10 hours to productive deployment🏆
Full Comparison
| Attribute | Amazon Web Services (AWS) | Vercel |
|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | — |
| Archival Storage Cost($/GB/month) | $0.004 | — |
| Pricing Model Complexity(simplicity score) | 5/10 | — |
| Base Software Cost(USD/month) | Pay-per-use only | — |
| Terraform Cloud Team Plan Cost(USD/month per user) | N/A | — |
Show 20 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) — Minimum Monthly Cost(USD) $4.34 (t3.micro EC2 only) $0 (hobby tier) Free Tier Cost(USD/month) Free (1 year, then pay-as-you-go infrastructure costs) — Starter Pricing(USD/month) $20 — Free Tier Allowance(USD/month) Unlimited — Pro Plan Cost(USD/month per user/base) $20 — Free Tier Bandwidth(GB/month) 100 GB/month — Production Dyno Cost(USD/month) $20 (Pro plan) — 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 — Serverless Function Cost (per 1M invocations)(USD) $2.00 — | ||
| AI/ML Model Flexibility | Multiple models via Bedrock | — |
| Hybrid Cloud Support Maturity | AWS Outposts (limited) | — |
| Global Data Centers(count) | 33 regions | — |
| Global Availability Zones(zones) | 33 | — |
| Global Geographic Regions(regions) | 33 regions | — |
| Availability Zones (AWS regions)(zones) | 105+ zones | — |
Show 4 more attributesGlobal Data Center Regions(regions) 33 regions — Global Data Centers(locations) 200+ — Regions Available(regions) Automatic (280 edge locations) — Edge Network Locations(regions) 180+ edge locations — | ||
| Container Serverless Performance | Fargate (feature-rich) | — |
| Market Share 2026(%) | 32% | — |
| Global Market Share (2026)(%) | 32% | — |
| Total Available Services(services) | 200+ | — |
| ML/AI Service Innovation Rating(score) | 8/10 | — |
| Hybrid Cloud Support Level(capability) | Moderate (Outposts) | — |
| Windows/Active Directory Integration(native score) | 4/10 | — |
| Developer Community Size(developers) | Largest | — |
| Add-on Marketplace Size(count) | Integrations via marketplace | — |
| Container/Kubernetes Strength(native integration) | Strong (ECS/EKS) | — |
| BigQuery-Grade Analytics(capability) | Via Athena/Redshift | — |
| Supported Cloud Providers(count) | AWS only | — |
| Available Services/Integrations(count) | 190+ native services | — |
| Time to Provision Standard EC2 Instance(seconds) | 30-45 (via Console/CLI) | — |
| Global Edge Locations(locations) | 280+ CloudFront locations | 280+ Vercel edge locations |
| Average Cold Start Latency(milliseconds) | 125ms (Lambda standard) | 85ms (with edge caching) |
| Function Cold Start(milliseconds) | 50-100ms | — |
| CDN Coverage(global regions) | 200+ edge locations | — |
Show 7 more attributesServerless Cold Start(milliseconds) <100ms average — Cold Start Time(seconds) <0.1 seconds — Cold Start Latency(milliseconds) 50-100ms — Edge Function Cold Start(milliseconds) 50-150ms — Standard Deployment Cold Start(milliseconds) 200-400ms — Average Cold Start Time(milliseconds) ~100ms — Edge Function Latency Reduction(milliseconds) 30-50ms faster than origin — | ||
| GitHub Integration for IaC(native support) | AWS CloudFormation requires manual GitHub setup | — |
| Global Market Share(%) | 32% of global cloud infrastructure (2024) | — |
| Service Count(services) | 200+ | — |
| 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) |
| Database Integrations(count) | 3-4 options | — |
Show 6 more attributesNative Database Support None (external only) — Integrated Services(count) 15-20 services — Native Database Options(count) 0 native; integrations available — ML/AI Services(count) API integrations only — Background Jobs(native support) Not included (external service required) — Serverless Function Support Yes (Node.js, Python, Go) — | ||
| 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) | — |
| Preview Environments(deployments) | Automatic per git branch | — |
| Setup Complexity (1-10 scale)(complexity rating) | 1/10 (git push automatic deployment) | — |
Show 2 more attributesNext.js Framework Optimization Native (created by Vercel team) — Learning Curve for New Users Beginner-friendly — | ||
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | — |
| Enterprise Support Annual Cost(USD) | $15,000 | — |
| Premium Support Response Time(hours) | 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 |
| SLA Uptime Guarantee(percentage) | 99.99% (us-east-1 region) | 99.95% (global) |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | Unlimited (auto-scales serverless) |
| GitHub Stars(stars) | N/A (not a single GitHub repo) | — |
| Multi-Cloud Support(cloud providers) | AWS only | — |
| 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 | — |
| Company Valuation(USD billions) | $9.3B | — |
| Annualized Recurring Revenue(USD Millions) | $340M | — |
| Total Funding Raised(USD Millions) | $863M | — |
| Founding Year(Year) | 2015 | — |
| Current Funding Stage | Series F | — |
| Primary Geographic HQ | Covina, California, USA | — |
| YoY Revenue Growth Rate(Percent) | 86% | — |
| Market Position (2026) | Enterprise market leader | — |
| Max Serverless Function Size(MB/GB) | 10GB | — |
| Database Integration | Native Vercel Postgres | — |
| DDoS Protection Level | Basic (paid plans enhanced) | — |
| Enterprise Security Features(included) | SOC 2, DDoS, WAF included | — |
| Analytics Dashboard | Detailed Web Analytics | — |
| Free Trial Duration(days) | Unlimited free tier | — |
| Container Support(native support) | Limited (via Docker) | — |
| Database Options(count) | PostgreSQL only (Vercel Postgres) | — |
| Supported Backend Languages(count) | 1 (Node.js primary) | — |
| Built-in Database Options | None (requires third-party) | — |
| Built-in Authentication Systems | OAuth providers only | — |
| Monthly Active Users(millions) | 2.5M+ | — |
| Average Deployment Time(weeks) | 45 seconds | — |
| Free Tier Deployments Per Day(deployments/day) | 3 | — |
| Next.js Framework Integration | Native first-class support | — |
| Third-Party Integrations(count) | 150+ | — |
| GitHub Actions Free Tier Minutes(minutes/month) | N/A | — |
Amazon Web Services (AWS)
Vercel
Standard Storage Cost($/GB/month)
$0.023
—
Archival Storage Cost($/GB/month)
$0.004
—
Pricing Model Complexity(simplicity score)
5/10
—
Base Software Cost(USD/month)
Pay-per-use only
—
Terraform Cloud Team Plan Cost(USD/month per user)
N/A
—
Show 20 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)
—
Minimum Monthly Cost(USD)
$4.34 (t3.micro EC2 only)
$0 (hobby tier)
Free Tier Cost(USD/month)
Free (1 year, then pay-as-you-go infrastructure costs)
—
Starter Pricing(USD/month)
$20
—
Free Tier Allowance(USD/month)
Unlimited
—
Pro Plan Cost(USD/month per user/base)
$20
—
Free Tier Bandwidth(GB/month)
100 GB/month
—
Production Dyno Cost(USD/month)
$20 (Pro plan)
—
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
—
Serverless Function Cost (per 1M invocations)(USD)
$2.00
—
AI/ML Model Flexibility
Multiple models via Bedrock
—
Hybrid Cloud Support Maturity
AWS Outposts (limited)
—
Global Data Centers(count)
33 regions
—
Global Availability Zones(zones)
33
—
Global Geographic Regions(regions)
33 regions
—
Availability Zones (AWS regions)(zones)
105+ zones
—
Show 4 more attributes
Global Data Center Regions(regions)
33 regions
—
Global Data Centers(locations)
200+
—
Regions Available(regions)
Automatic (280 edge locations)
—
Edge Network Locations(regions)
180+ edge locations
—
Container Serverless Performance
Fargate (feature-rich)
—
Market Share 2026(%)
32%
—
Global Market Share (2026)(%)
32%
—
Total Available Services(services)
200+
—
ML/AI Service Innovation Rating(score)
8/10
—
Hybrid Cloud Support Level(capability)
Moderate (Outposts)
—
Windows/Active Directory Integration(native score)
4/10
—
Developer Community Size(developers)
Largest
—
Add-on Marketplace Size(count)
Integrations via marketplace
—
Container/Kubernetes Strength(native integration)
Strong (ECS/EKS)
—
BigQuery-Grade Analytics(capability)
Via Athena/Redshift
—
Supported Cloud Providers(count)
AWS only
—
Available Services/Integrations(count)
190+ native services
—
Time to Provision Standard EC2 Instance(seconds)
30-45 (via Console/CLI)
—
Global Edge Locations(locations)
280+ CloudFront locations
280+ Vercel edge locations
Average Cold Start Latency(milliseconds)
125ms (Lambda standard)
85ms (with edge caching)
Function Cold Start(milliseconds)
50-100ms
—
CDN Coverage(global regions)
200+ edge locations
—
Show 7 more attributes
Serverless Cold Start(milliseconds)
<100ms average
—
Cold Start Time(seconds)
<0.1 seconds
—
Cold Start Latency(milliseconds)
50-100ms
—
Edge Function Cold Start(milliseconds)
50-150ms
—
Standard Deployment Cold Start(milliseconds)
200-400ms
—
Average Cold Start Time(milliseconds)
~100ms
—
Edge Function Latency Reduction(milliseconds)
30-50ms faster than origin
—
GitHub Integration for IaC(native support)
AWS CloudFormation requires manual GitHub setup
—
Global Market Share(%)
32% of global cloud infrastructure (2024)
—
Service Count(services)
200+
—
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)
Database Integrations(count)
3-4 options
—
Show 6 more attributes
Native Database Support
None (external only)
—
Integrated Services(count)
15-20 services
—
Native Database Options(count)
0 native; integrations available
—
ML/AI Services(count)
API integrations only
—
Background Jobs(native support)
Not included (external service required)
—
Serverless Function Support
Yes (Node.js, Python, Go)
—
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)
—
Preview Environments(deployments)
Automatic per git branch
—
Setup Complexity (1-10 scale)(complexity rating)
1/10 (git push automatic deployment)
—
Show 2 more attributes
Next.js Framework Optimization
Native (created by Vercel team)
—
Learning Curve for New Users
Beginner-friendly
—
BigQuery Query Latency(seconds)
15-30 seconds (Athena, 1TB scan)
—
Enterprise Support Annual Cost(USD)
$15,000
—
Premium Support Response Time(hours)
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
SLA Uptime Guarantee(percentage)
99.99% (us-east-1 region)
99.95% (global)
Concurrent Connections per Instance(requests/second)
50,000+ (t3.large EC2)
Unlimited (auto-scales serverless)
GitHub Stars(stars)
N/A (not a single GitHub repo)
—
Multi-Cloud Support(cloud providers)
AWS only
—
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
—
Company Valuation(USD billions)
$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
—
DDoS Protection Level
Basic (paid plans enhanced)
—
Enterprise Security Features(included)
SOC 2, DDoS, WAF included
—
Analytics Dashboard
Detailed Web Analytics
—
Free Trial Duration(days)
Unlimited free tier
—
Container Support(native support)
Limited (via Docker)
—
Database Options(count)
PostgreSQL only (Vercel Postgres)
—
Supported Backend Languages(count)
1 (Node.js primary)
—
Built-in Database Options
None (requires third-party)
—
Built-in Authentication Systems
OAuth providers only
—
Monthly Active Users(millions)
2.5M+
—
Average Deployment Time(weeks)
45 seconds
—
Free Tier Deployments Per Day(deployments/day)
3
—
Next.js Framework Integration
Native first-class support
—
Third-Party Integrations(count)
150+
—
GitHub Actions Free Tier Minutes(minutes/month)
N/A
—
Visual Comparison
Side-by-side comparison of numeric attributes
Pros & Cons
Amazon Web Services (AWS)
5 pros3 cons
Pros
- 200+ integrated services including RDS, DynamoDB, S3, EC2 with granular control
- Most mature enterprise cloud offering with 17+ years of production stability
- Lowest per-unit costs at massive scale (1000+ servers)
- Custom VPC networking, IAM policies, and multi-region failover capabilities
- AWS Free Tier includes 12 months of t2.micro EC2 + 5GB S3 storage
Cons
- Steep learning curve requiring AWS certification knowledge ($130 exam)
- Requires active management of security groups, IAM roles, and infrastructure provisioning
- Complex pricing with 140+ billable dimensions—average enterprise bill unexpected by 23% annually
Vercel
5 pros3 cons
Pros
- Zero-config Git integration: push to main branch = automatic deployment
- Edge Functions execute within 100ms globally across 280+ data centers
- Incremental Static Regeneration (ISR) for dynamic content without rebuild
- Free hobby tier with unlimited deployments, preview URLs, and 100GB bandwidth
- Native Next.js optimization with automatic image optimization and route prefetching
Cons
- Limited to frontend/edge computing—no traditional databases or backend compute servers
- Cannot self-host or use private infrastructure—full vendor lock-in to Vercel platform
- Pro plan ($20/month) required for team collaboration and advanced analytics
Frequently Asked Questions
Yes, but with significant effort. Vercel handles deployment automation and edge optimization; migrating to AWS means manually configuring CloudFront, Lambda, API Gateway, and managing CI/CD with CodePipeline. Estimated migration time: 20-40 developer hours. Data is portable, but configuration is not.
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Last updated: June 23, 2026AI generated