Heroku vs AWS 2026: Cost, Speed & Scalability
Heroku is a Platform-as-a-Service (PaaS) offering simple deployment with built-in CI/CD and minimal configuration, while AWS is a comprehensive Infrastructure-as-a-Service (IaaS) providing granular control, 200+ services, and significantly lower costs at scale. Heroku suits rapid prototyping and small teams; AWS dominates enterprise deployments and complex architectures.
Heroku
Fully managed Platform-as-a-Service (PaaS) for rapid application deployment with built-in CI/CD and automatic scaling.
Startup founders, indie developers, small SaaS teams, and rapid prototyping where development speed is more valuable than infrastructure costs.
Amazon Web Services (AWS)
Comprehensive cloud infrastructure platform with 200+ services for compute, storage, databases, and enterprise solutions.
Enterprise organizations, applications requiring complex architectures, multi-region deployments, those needing 99.99% SLA, and companies with dedicated DevOps/cloud teams.
Quick Answer
AI SummaryHeroku is a Platform-as-a-Service (PaaS) offering simple deployment with built-in CI/CD and minimal configuration, while AWS is a comprehensive Infrastructure-as-a-Service (IaaS) providing granular control, 200+ services, and significantly lower costs at scale. Heroku suits rapid prototyping and small teams; AWS dominates enterprise deployments and complex architectures.
Our Verdict
AI-assistedChoose Heroku if you're a startup, small team, or building MVPs where time-to-market and developer velocity trump cost—you'll ship in days instead of weeks. Choose AWS if you need enterprise-grade scale, complex architectures, multi-region deployment, or long-term cost efficiency for mature applications serving millions of users.
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Choose Heroku if
Startup founders, indie developers, small SaaS teams, and rapid prototyping where development speed is more valuable than infrastructure costs.
Choose Amazon Web Services (AWS) if
Best pickEnterprise organizations, applications requiring complex architectures, multi-region deployments, those needing 99.99% SLA, and companies with dedicated DevOps/cloud teams.
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Key Differences at a Glance
- Pricing Model:✓ Amazon Web Services (AWS) wins($0.0116-0.0464/hour (EC2) with pay-per-use complexity vs $7-50+/month per dyno with predictable costs)
- Deployment Complexity:✓ Heroku wins(Git push to deploy in <2 minutes, no infrastructure setup vs Requires VPC, security groups, IAM roles, load balancers configuration)
- Service Ecosystem:✓ Amazon Web Services (AWS) wins(200+ services requiring manual integration and configuration vs 50+ add-ons (PostgreSQL, Redis, Kafka, etc.) pre-integrated)
Key Facts & Figures
100 numeric metrics compared
| Metric | Heroku | Amazon Web Services (AWS) | Ratio |
|---|---|---|---|
| Starting Monthly Price(USD) | $50 | — | — |
| Cold Start Latency(seconds) | 10-30 | — | — |
| Maximum Uptime SLA(%) | 99.99% | — | — |
| Available Add-ons(count) | 60+ marketplace add-ons | — | — |
| Build Duration(seconds (average)) | 60-120 | — | — |
| Minimum Monthly Cost(USD) | $5 | — | — |
| Pro Plan Base Cost(USD/month) | $7 | — | — |
| Managed Postgres Starting Price(USD/month) | $38 | — | — |
| Years Since Launch(years) | 15+ | — | — |
| Cold Start Time(milliseconds) | 3-5 seconds | — | — |
| Supported Backend Languages(count) | 15+ languages | — | — |
| Native Database Support | PostgreSQL, MySQL, Redis (3 types) | — | — |
| Global Edge Locations(number of PoPs) | ~6 regions | 280+ CloudFront locations | |
| Add-on Marketplace Size(count) | 150+ add-ons | — | — |
| Production Dyno Cost(USD/month) | $50 | — | — |
| Minimum Monthly Cost (Single App)(USD) | $50 | — | — |
| Cost per 1GB RAM (Monthly)(USD) | $50 | — | — |
| Database Setup Time(minutes) | 1 minute (add-on) | — | — |
| PostgreSQL Managed Database Cost(USD/month) | $9 | — | — |
| Cold Start Time (Free/Sleeping Tier)(seconds) | 30+ seconds | — | — |
| Initial Setup Time(minutes) | 0.25-0.5 hours | — | — |
| Monthly Cost (Baseline App)(USD) | $500-2,000 | — | — |
| Maximum Deployable Scale(concurrent users) | 100,000 | — | — |
| Learning Curve (Expert Assessment)(months to competency) | 0.5-1 week | — | — |
| Available Add-ons/Integrations(services) | 180+ (official marketplace) | — | — |
| Cost at 10,000 Monthly Active Users(USD) | $2,000-5,000 | — | — |
| Required DevOps Team Size(engineers) | 0 | — | — |
| Cost for Standard Production App (2 dynos + add-ons)(USD/month) | $200-250 | $100-150 (EC2 Reserved + RDS) | |
| Time to First Deployment(minutes) | 2-5 | 60-480 | |
| Number of Available Services/Products(count) | 50+ | 200+ | |
| Maximum RAM per Instance(GB) | 512 | 24,576 | |
| Lambda/Serverless Cold Start Latency(milliseconds) | Not native (dyno sleep = 30sec) | 100-3000 | |
| Global Regions Available(count) | 4 | 31 | |
| Minimum Monthly Cost (Paid Tier)(USD) | $50/month | — | — |
| Database Cost (Pro Tier)(USD/month) | $50 (minimum) | — | — |
| Cold Start Performance(milliseconds) | 1,500-3,000ms | — | — |
| Global Server Regions(count) | 6 regions | — | — |
| Marketplace Add-ons Available(count) | 180+ add-ons | — | — |
| Company Age & Maturity(years) | Founded 2007 | — | — |
| Uptime SLA Guarantee(%) | 99.95% (Enterprise) | — | — |
| Minimum Monthly Cost(USD) | $50/month | $0 (free tier + pay-per-use) | |
| Cost for Production App (2 dynos/Droplets + DB)(USD/month) | $250-350/month | — | — |
| Time from Code Commit to Production(minutes) | <2 minutes | — | — |
| Cold Start Response Time(seconds) | 3-5 seconds (free dyno) | — | — |
| Maximum Uptime SLA(percent) | 99.99% | — | — |
| Integrated Services & Add-ons Available(count) | 150+ integrated add-ons | — | — |
| Standard Storage Cost($/GB/month) | $0.023 | $0.023 | |
| Archival Storage Cost($/GB/month) | $0.004 | $0.004 | |
| Market Share 2026(%) | 32% | 32% | |
| Global Market Share (2026)(%) | 32% | 32% | |
| Total Available Services(services) | 200+ | 200+ | |
| Global Availability Zones(zones) | 33 | 33 | |
| Pricing Model Complexity(simplicity score) | 5/10 | 5/10 | |
| ML/AI Service Innovation Rating(score) | 8/10 | 8/10 | |
| Windows/Active Directory Integration(native score) | 4/10 | 4/10 | |
| Supported Cloud Providers(count) | AWS only | AWS only | |
| Global Geographic Regions(regions) | 33 regions | 33 regions | |
| Availability Zones (AWS regions)(zones) | 105+ zones | 105+ zones | |
| Available Services/Integrations(count) | 190+ native services | 190+ native services | |
| Time to Provision Standard EC2 Instance(seconds) | 30-45 (via Console/CLI) | 30-45 (via Console/CLI) | |
| Monthly Cost (1 vCPU, 1GB RAM, Standard Instance)(USD) | $9.50 (t3.micro on-demand) | $9.50 (t3.micro on-demand) | |
| Outbound Data Transfer Cost per GB(USD) | $0.0116 | $0.0116 | |
| Global Data Center Regions(regions) | 33 regions | 33 regions | |
| Global Market Share(%) | 32% of global cloud infrastructure (2024) | 32% of global cloud infrastructure (2024) | |
| Service Count(services) | 200+ | 200+ | |
| Compute Cost (e2-medium equivalent)(USD/hour) | $0.0416 | $0.0416 | |
| Data Transfer Out Cost(USD/GB) | $0.02 | $0.02 | |
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | 8-12 hours (SageMaker) | |
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | 15-30 seconds (Athena, 1TB scan) | |
| Enterprise Support Annual Cost(USD) | $15,000 | $15,000 | |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | 18-25 steps (EKS setup) | |
| Available Cloud Services/Products(count) | 200+ | 200+ | |
| Free Tier Duration(months) | 12 months + always-free services | 12 months + always-free services | |
| Premium Support Response Time(minutes) | 1 hour (Business Support) | 1 hour (Business Support) | |
| Monthly Cost for 10TB Egress Data Transfer(USD) | $116 (after 1GB free) | $116 (after 1GB free) | |
| Minimum Setup Time(minutes) | 120 minutes | 120 minutes | |
| Average Cold Start Latency(milliseconds) | 125ms (Lambda standard) | 125ms (Lambda standard) | |
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | 45-60 (configure VPC, IAM, EC2, security groups) | |
| Built-in Database Support(count) | 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream) | 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream) | |
| SLA Uptime Guarantee(%) | 99.99% (us-east-1 region) | 99.99% (us-east-1 region) | |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | 50,000+ (t3.large EC2) | |
| Estimated Learning Time for New Developer(hours) | 80-100 hours | 80-100 hours | |
| Supported Programming Languages for IaC(languages) | 3 languages (YAML, JSON, TypeScript/Python/Java via CDK) | 3 languages (YAML, JSON, TypeScript/Python/Java via CDK) | |
| Available Services/Resources(services) | 200+ AWS-specific services (largest portfolio in cloud) | 200+ AWS-specific services (largest portfolio in cloud) | |
| Free Tier Cost(USD/month) | Free (1 year, then pay-as-you-go infrastructure costs) | Free (1 year, then pay-as-you-go infrastructure costs) | |
| AWS Regions/Availability Zones(regions) | 33+ geographic regions with 105+ availability zones | 33+ geographic regions with 105+ availability zones | |
| Certified Professionals(people) | 1M+ AWS Certified professionals | 1M+ AWS Certified professionals | |
| Global Data Centers(number of locations) | 108 availability zones in 33 regions | 108 availability zones in 33 regions | |
| Available Services(services) | 200+ services | 200+ services | |
| Starting Monthly Cost(USD) | $0 (free tier), pay-as-you-go | $0 (free tier), pay-as-you-go | |
| Setup Time (Minutes)(minutes) | 120+ minutes (full configuration) | 120+ minutes (full configuration) | |
| Dedicated Database Services(services) | 15+ (RDS, DynamoDB, Redshift, etc.) | 15+ (RDS, DynamoDB, Redshift, etc.) | |
| Typical Edge Response Time(milliseconds) | ~80ms (median global) | ~80ms (median global) | |
| Maximum DDoS Mitigation Capacity(Tbps) | ~700 Gbps (AWS Shield Advanced) | ~700 Gbps (AWS Shield Advanced) | |
| Global Market Share (Cloud IaaS)(%) | 32% | 32% | |
| Total Cloud Services(count) | 200+ | 200+ | |
| Fortune 500 Adoption Rate(%) | ~75% | ~75% | |
| Compute Instance Starting Price (hourly)(USD) | $0.0116/hour (t3.micro) | $0.0116/hour (t3.micro) | |
| Reserved Instance Discount (1-year)(%) | up to 72% | up to 72% | |
| Machine Learning Service Maturity(years) | SageMaker (launched 2017) | SageMaker (launched 2017) |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- $7-50+/month per dyno with predictable costsPricing Model$0.0116-0.0464/hour (EC2) with pay-per-use complexity(winner)
- Git push to deploy in <2 minutes, no infrastructure setup(winner)Deployment ComplexityRequires VPC, security groups, IAM roles, load balancers configuration
- 50+ add-ons (PostgreSQL, Redis, Kafka, etc.) pre-integratedService Ecosystem200+ services requiring manual integration and configuration(winner)
- Manual dyno scaling, limited to 512GB RAM per dynoScaling CapabilityAuto-scaling groups, EC2 instances up to 24TB RAM, unlimited architecture(winner)
- 2-5 seconds on free/eco dynos, minimal on StandardCold Start Time0.1-2 seconds (EC2), varies by Lambda cold start (100-3000ms)(winner)
- Beginner-friendly, documentation assumes minimal DevOps knowledge(winner)Learning CurveSteep learning curve, 200+ services with overlapping functionality
- $2,400-4,800/year (Standard-2X dynos with add-ons)Total Cost of Ownership (Year 1, Medium App)$1,200-2,400/year (well-optimized, Reserved Instances)(winner)
- Pricing Model
Heroku
$7-50+/month per dyno with predictable costs
Amazon Web Services (AWS)
$0.0116-0.0464/hour (EC2) with pay-per-use complexity(winner)
- Deployment Complexity
Heroku
Git push to deploy in <2 minutes, no infrastructure setup(winner)
Amazon Web Services (AWS)
Requires VPC, security groups, IAM roles, load balancers configuration
- Service Ecosystem
Heroku
50+ add-ons (PostgreSQL, Redis, Kafka, etc.) pre-integrated
Amazon Web Services (AWS)
200+ services requiring manual integration and configuration(winner)
- Scaling Capability
Heroku
Manual dyno scaling, limited to 512GB RAM per dyno
Amazon Web Services (AWS)
Auto-scaling groups, EC2 instances up to 24TB RAM, unlimited architecture(winner)
- Cold Start Time
Heroku
2-5 seconds on free/eco dynos, minimal on Standard
Amazon Web Services (AWS)
0.1-2 seconds (EC2), varies by Lambda cold start (100-3000ms)(winner)
- Learning Curve
Heroku
Beginner-friendly, documentation assumes minimal DevOps knowledge(winner)
Amazon Web Services (AWS)
Steep learning curve, 200+ services with overlapping functionality
- Total Cost of Ownership (Year 1, Medium App)
Heroku
$2,400-4,800/year (Standard-2X dynos with add-ons)
Amazon Web Services (AWS)
$1,200-2,400/year (well-optimized, Reserved Instances)(winner)
Full Comparison
| Attribute | Heroku | Amazon Web Services (AWS) |
|---|---|---|
| Starting Monthly Price(USD) | $50 | — |
| Free Trial Period(days) | No free trial (paid only) | — |
| Minimum Monthly Cost(USD) | $5 | — |
| Pro Plan Base Cost(USD/month) | $7 | — |
| Free Tier Status | Discontinued (2022) | — |
Show 28 more attributesProduction Dyno Cost(USD/month) $50 — Minimum Monthly Cost (Single App)(USD) $50 — Cost per 1GB RAM (Monthly)(USD) $50 — PostgreSQL Managed Database Cost(USD/month) $9 — Monthly Cost (Baseline App)(USD) $500-2,000 — Cost at 10,000 Monthly Active Users(USD) $2,000-5,000 — Cost for Standard Production App (2 dynos + add-ons)(USD/month) $200-250 $100-150 (EC2 Reserved + RDS) Minimum Monthly Cost (Paid Tier)(USD) $50/month — Database Cost (Pro Tier)(USD/month) $50 (minimum) — Free Tier Available(yes/no) No (discontinued 2022) — Minimum Monthly Cost(USD) $50/month $0 (free tier + pay-per-use) Cost for Production App (2 dynos/Droplets + DB)(USD/month) $250-350/month — Free Tier Availability Discontinued (was free, now hobby tier $50/month) — Standard Storage Cost($/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 — 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) — Starting Monthly Cost(USD) $0 (free tier), pay-as-you-go — Compute Instance Starting Price (hourly)(USD) $0.0116/hour (t3.micro) — Reserved Instance Discount (1-year)(%) up to 72% — | ||
| Cold Start Latency(seconds) | 10-30 | — |
| Build Duration(seconds (average)) | 60-120 | — |
| Cold Start Time(milliseconds) | 3-5 seconds | — |
| Automatic Scaling(availability) | Built-in at all tiers | — |
| Cold Start Time (Free/Sleeping Tier)(seconds) | 30+ seconds | — |
Show 6 more attributesLambda/Serverless Cold Start Latency(milliseconds) Not native (dyno sleep = 30sec) 100-3000 Cold Start Performance(milliseconds) 1,500-3,000ms — Cold Start Response Time(seconds) 3-5 seconds (free dyno) — Time to Provision Standard EC2 Instance(seconds) 30-45 (via Console/CLI) — Average Cold Start Latency(milliseconds) 125ms (Lambda standard) — Typical Edge Response Time(milliseconds) ~80ms (median global) — | ||
| Maximum Uptime SLA(%) | 99.99% | — |
| Company Age & Maturity(years) | Founded 2007 | — |
| Uptime SLA Guarantee(%) | 99.95% (Enterprise) | — |
| Maximum Uptime SLA(percent) | 99.99% | — |
| SLA Uptime Guarantee(%) | 99.99% (us-east-1 region) | — |
| Supported Runtimes | Node, Python, Ruby, Java, PHP, Go, Scala, Clojure | — |
| Available Add-ons(count) | 60+ marketplace add-ons | — |
| Add-on Marketplace Size(count) | 150+ add-ons | — |
| Available Add-ons/Integrations(services) | 180+ (official marketplace) | — |
| Supported Cloud Providers(count) | AWS only | — |
| Deployment Methods | Git push, GitHub, Dropbox, API | — |
| Built-in CI/CD Pipeline(included) | Yes, automatic on git push | No, requires CodePipeline ($0.02/active pipeline) |
| GitHub Integration for IaC(native support) | AWS CloudFormation requires manual GitHub setup | — |
| Managed Postgres Starting Price(USD/month) | $38 | — |
| Active Development Status | Maintenance mode | — |
| Years Since Launch(years) | 15+ | — |
| Git-Push Deployment | Yes (original) | — |
| Native Database Support | PostgreSQL, MySQL, Redis (3 types) | — |
| Integrated Services & Add-ons Available(count) | 150+ integrated add-ons | — |
| Available Cloud Services/Products(count) | 200+ | — |
| AI/ML Service Availability(availability) | SageMaker, Bedrock, Forecast, Lookout, Kendra | — |
Show 1 more attributeBuilt-in Database Support(count) 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream) — | ||
| Credit Card Required for Trial | Yes | — |
| Free Tier Bandwidth(GB/month) | $0 (discontinued) | — |
| Supported Backend Languages(count) | 15+ languages | — |
| Available Services/Integrations(count) | 190+ native services | — |
| Total Cloud Services(count) | 200+ | — |
| Global Edge Locations(number of PoPs) | ~6 regions | 280+ CloudFront locations(winner) |
| Global Regions Available(count) | 4 | 31(winner) |
| Global Server Regions(count) | 6 regions | — |
| Hybrid Cloud Support Maturity | AWS Outposts (limited) | — |
| Global Availability Zones(zones) | 33 | — |
Show 3 more attributesGlobal Geographic Regions(regions) 33 regions — Availability Zones (AWS regions)(zones) 105+ zones — Global Data Centers(number of locations) 108 availability zones in 33 regions — | ||
| Database Setup Time(minutes) | 1 minute (add-on) | — |
| Learning Curve (Expert Assessment)(months to competency) | 0.5-1 week | — |
| Time from Code Commit to Production(minutes) | <2 minutes | — |
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | — |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | — |
Show 1 more attributeSupported Programming Languages for IaC(languages) 3 languages (YAML, JSON, TypeScript/Python/Java via CDK) — | ||
| Server Root Access(availability) | No (limited to buildpacks) | — |
| Infrastructure Customization Level(text) | Limited (configuration over customization) | — |
| Initial Setup Time(minutes) | 0.25-0.5 hours | — |
| Maximum Deployable Scale(concurrent users) | 100,000 | — |
| Maximum RAM per Instance(GB) | 512 | 24,576(winner) |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | — |
| Required DevOps Team Size(engineers) | 0 | — |
| Time to First Deployment(minutes) | 2-5(winner) | 60-480 |
| Number of Available Services/Products(count) | 50+ | 200+(winner) |
| Service Count(services) | 200+ | — |
| Marketplace Add-ons Available(count) | 180+ add-ons | — |
| AI/ML Model Flexibility | Multiple models via Bedrock | — |
| Container Serverless Performance | Fargate (feature-rich) | — |
| Market Share 2026(%) | 32% | — |
| Global Market Share (2026)(%) | 32% | — |
| Global Market Share (Cloud IaaS)(%) | 32% | — |
| 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(developers) | Largest | — |
| Premium Support Response Time(minutes) | 1 hour (Business Support) | — |
| Container/Kubernetes Strength(native integration) | Strong (ECS/EKS) | — |
| BigQuery-Grade Analytics(capability) | Via Athena/Redshift | — |
| Global Data Center Regions(regions) | 33 regions | — |
| Global Market Share(%) | 32% of global cloud infrastructure (2024) | — |
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | — |
| Enterprise Support Annual Cost(USD) | $15,000 | — |
| Minimum Setup Time(minutes) | 120 minutes | — |
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | — |
| Estimated Learning Time for New Developer(hours) | 80-100 hours | — |
| GitHub Stars(stars) | N/A (not a single GitHub repo) | — |
| Multi-Cloud Support(cloud providers) | AWS only | — |
| 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 | — |
| Available Services(services) | 200+ services | — |
| DDoS Protection Included | No (Shield Advanced: $3,000/month) | — |
| Maximum DDoS Mitigation Capacity(Tbps) | ~700 Gbps (AWS Shield Advanced) | — |
| Setup Time (Minutes)(minutes) | 120+ minutes (full configuration) | — |
| Dedicated Database Services(services) | 15+ (RDS, DynamoDB, Redshift, etc.) | — |
| Fortune 500 Adoption Rate(%) | ~75% | — |
| Machine Learning Service Maturity(years) | SageMaker (launched 2017) | — |
Show 28 more attributes
Show 6 more attributes
Show 1 more attribute
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Pros & Cons
10 pros·6 cons across both
Heroku
Pros
- Deploy via 'git push' in under 2 minutes with zero infrastructure configuration
- One-click add-ons for PostgreSQL, Redis, Kafka, Elasticsearch pre-integrated and managed
- Built-in CI/CD pipeline, automatic SSL certificates, and HTTPS included
- Automatic log aggregation, monitoring, and error tracking dashboard
- Predictable monthly pricing with no surprise charges or complex cost calculators
Cons
- Significantly more expensive at scale—$50+/month per dyno vs $5-20/month comparable AWS compute
- Limited to Heroku's predefined infrastructure; cannot customize OS, kernel, or low-level networking
- Free tier discontinued in 2022; all apps require minimum $7/month payment
Amazon Web Services (AWS)
Pros
- 200+ services enabling any architecture: serverless (Lambda), containerized (ECS/EKS), traditional (EC2), managed databases (RDS, DynamoDB)
- Lowest total cost of ownership at scale with Reserved Instances (40% discount) and Spot Instances (90% discount)
- Global infrastructure: 31 regions, 99 availability zones enabling multi-region HA and compliance
- Advanced features: auto-scaling groups, load balancing, CDN (CloudFront), DDoS protection (Shield), managed Kubernetes (EKS)
- Strongest ecosystem: 2000+ third-party integrations, massive community, and 800+ certification courses
Cons
- Steep learning curve requiring DevOps/cloud architecture expertise; billing complexity with 300+ pricing tiers confuses teams
- Requires manual configuration of security groups, IAM roles, VPCs, and load balancers—deployment takes weeks vs days
- Cold start latency on Lambda functions (100-3000ms) problematic for latency-sensitive applications
Frequently Asked Questions
5 questions
AWS is significantly cheaper at scale. A production app on Heroku costs $200-250/month (2 Standard-1X dynos + PostgreSQL + Redis), while the same workload on AWS with Reserved Instances costs $100-150/month. However, Heroku saves you $500-2000/month in DevOps labor costs due to minimal configuration overhead, making total cost-of-ownership comparable for small teams. AWS becomes increasingly cost-effective as you scale beyond 10M monthly requests.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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Wikipedia
- W
Heroku on Wikipedia (opens in new tab)
Fully managed Platform-as-a-Service (PaaS) for rapid application deployment with built-in CI/CD and automatic scaling.
- W
Amazon Web Services (AWS) on Wikipedia (opens in new tab)
Comprehensive cloud infrastructure platform with 200+ services for compute, storage, databases, and enterprise solutions.
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