software
AWS vs Google Cloud 2026: Pricing, AI/ML, Services
AWS dominates market share at 32% with the broadest service portfolio (200+ services), while Google Cloud excels in data analytics, AI/ML capabilities, and offers 25-30% lower pricing on comparable compute resources. AWS suits enterprises needing comprehensive solutions; Google Cloud appeals to data-driven organizations prioritizing cost efficiency.
AW
Amazon Web Services (AWS)
Market-leading cloud platform with 200+ services and 32% global market share
Large enterprises, multi-service deployments, organizations already invested in AWS ecosystem, teams prioritizing vendor stability and support
Score63%
VS
GC
Google Cloud Platform (GCP)
Analytics and AI-focused cloud with 11% market share, 42 global regions, and superior data processing
Data-intensive organizations, AI/ML teams, startups prioritizing cost, companies heavily invested in Google technologies, analytics-first architectures
Score63%
Quick Answer
AI SummaryAWS dominates market share at 32% with the broadest service portfolio (200+ services), while Google Cloud excels in data analytics, AI/ML capabilities, and offers 25-30% lower pricing on comparable compute resources. AWS suits enterprises needing comprehensive solutions; Google Cloud appeals to data-driven organizations prioritizing cost efficiency.
Our Verdict
AI-assistedChoose AWS if you need the most comprehensive service ecosystem, strongest enterprise support, widest partner network, and established multi-service integrations across your organization. Choose Google Cloud if you prioritize AI/ML workloads, real-time analytics, cost optimization, and work heavily with structured data—GCP's BigQuery and Vertex AI have no equal in the market.
Community feedback
Was this verdict helpful?
Thanks — we'll use this to improve our verdicts.
A
Amazon Web Services (AWS)
7.4/10
Google Cloud Platform (GCP)
7.6/10
G
A
Choose Amazon Web Services (AWS) if
Large enterprises, multi-service deployments, organizations already invested in AWS ecosystem, teams prioritizing vendor stability and support
G
Choose Google Cloud Platform (GCP) if
Best pickData-intensive organizations, AI/ML teams, startups prioritizing cost, companies heavily invested in Google technologies, analytics-first architectures
Track this comparison
Get notified when prices change, new specs ship, or our verdict updates.
Triggers: price change new spec verdict update
No spam. Stop anytime.
Key Differences at a Glance
- Global Market Share:✓ Amazon Web Services (AWS) wins(32% vs 11%)
- Number of Services Offered:✓ Amazon Web Services (AWS) wins(200+ vs 100+)
- BigQuery Analytics Performance:✓ Google Cloud Platform (GCP) wins(1.8 seconds (native advantage) vs 2.1 seconds (sample 1TB query))
Key Facts & Figures
134 numeric metrics compared
| Metric | Amazon Web Services (AWS) | Google Cloud Platform (GCP) | Ratio |
|---|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | — | — |
| Archival Storage Cost($/GB/month) | $0.004 | — | — |
| Market Share 2026(%) | 32% | — | — |
| Global Market Share (2026)(%) | 32% | 11% | |
| Total Available Services(services) | 200+ | 100+ | |
| Global Availability Zones(zones) | 33 | 42 | |
| Pricing Model Complexity(simplicity score) | 5/10 | 9/10 | |
| ML/AI Service Innovation Rating(score) | 8/10 | 10/10 | |
| Windows/Active Directory Integration(native score) | 4/10 | 3/10 | |
| 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 | 42 | |
| Global Market Share(%) | 32% | 11% | |
| Service Count(services) | 200+ | 100+ | |
| Compute Cost (e2-medium equivalent)(USD/hour) | $0.0416 | $0.0298 | |
| Data Transfer Out Cost(USD/GB) | $0.02 | $0.12 | |
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | 2-3 hours (Vertex AI) | |
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | 2-5 seconds (BigQuery, 1TB scan) | |
| Enterprise Support Annual Cost(USD) | $15,000 | $12,500 | |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | 3-4 steps (GKE) | |
| 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) | — | — |
| Setup Time to First Deploy(minutes) | 45-60 (configure VPC, IAM, EC2, security groups) | — | — |
| Built-in Database Support(count) | 8+ (RDS, DynamoDB, Aurora, ElastiCache, Neptune, DocumentDB, Keyspaces, Timestream) | — | — |
| SLA Uptime Guarantee(percent) | 99.99% (us-east-1 region) | 99.95% | |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | — | — |
| Estimated Learning Time for New Developer(hours) | 80-100 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) | — | — |
| 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 | 40+ regions | |
| Available Services(count) | 200+ services | 200+ | |
| 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 | ~75ms | |
| 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+ | 40+ regions | |
| Serverless Function Timeout(minutes) | 15 minutes | — | — |
| Max Serverless Memory(GB) | 10 GB | — | — |
| Serverless Function Cost per 1M Requests(USD) | $0.20 | — | — |
| Minimum Monthly Cost (Paid Tier)(USD) | $0 (pay-per-use only) | — | — |
| Deployment Time from Git Push(seconds) | 300-900 (5-15 minutes) | — | — |
| Native Database Options(count) | 24+ (RDS, DynamoDB, Aurora, Redshift, etc.) | 8 (SQL, Firestore, Spanner, BigQuery, Datastore, Memorystore, AlloyDB, DynamoDB) | |
| Setup Complexity (Learning Hours Required)(hours) | 40+ hours for foundational AWS certification | — | — |
| Uptime SLA Guarantee(percent) | 99.99% (multi-region) | — | — |
| Total Services/Products(count) | 200+ | 100+ | |
| Compute Instance Pricing (on-demand)(USD/vCPU/hour) | $0.0535 | $0.0396 | |
| Global Regions(regions) | 33 | 42 | |
| BigQuery Query Performance (1TB test)(seconds) | N/A (Redshift: 8-12s) | 1.8 seconds | — |
| Fortune 500 Adoption Rate(%) | 65% | 35% | |
| Free Tier Credit Duration(months) | 12 months | 3 months (but $300 credit) | |
| Global Data Center Locations(locations) | 40+ regions | 40+ regions | |
| Uptime SLA(percent) | 99.9% (Cloud DNS) | 99.9% (Cloud DNS) | |
| Cold Start Latency(milliseconds) | 500-2000ms | 500-2000ms | |
| Integrated Services(count) | 200+ services | 200+ services | |
| Monthly Free Credits/Tier(USD) | $300 | $300 | |
| BigQuery/Analytics Equivalent Cost(USD per TB scanned) | $6.25 | $6.25 | |
| Compute Instance (2vCPU, 8GB RAM)(USD/month) | $65-$78 | $65-$78 | |
| Oracle Database License Discount(% savings) | No discount | No discount | |
| Active Developer Community(developers) | 7.6 million | 7.6 million | |
| Autonomous Database Uptime SLA(% availability) | 99.95% | 99.95% | |
| AI/ML Model Catalog(pre-built models) | 40+ models in Vertex AI | 40+ models in Vertex AI | |
| Cheapest Virtual Machine (Hourly)(USD) | $0.04/hour ($29.20/month) | $0.04/hour ($29.20/month) | |
| Managed Database Types(count) | 25+ (including Spanner, Firestore, Bigtable) | 25+ (including Spanner, Firestore, Bigtable) | |
| Free Trial Credits(USD) | $300 (90 days) | $300 (90 days) | |
| Typical App Deployment Time(minutes) | 30-45 minutes | 30-45 minutes | |
| Monthly Starting Cost(USD) | $50-200 | $50-200 | |
| Apache Spark Query Performance Boost(x faster vs open-source) | 1.5-2x (Dataproc optimization) | 1.5-2x (Dataproc optimization) | |
| BigQuery/Equivalent Query Speed (1TB dataset)(seconds) | 8-12 sec (native BigQuery) | 8-12 sec (native BigQuery) | |
| Organizations Using Platform(count (thousands)) | 4,000,000+ (GCP users across Alphabet ecosystem) | 4,000,000+ (GCP users across Alphabet ecosystem) | |
| Average Deployment Time(seconds) | 300-900 seconds (App Engine) | 300-900 seconds (App Engine) | |
| Free Tier Compute(vCPU hours/month) | 300 e2-micro hours (App Engine) | 300 e2-micro hours (App Engine) | |
| Compute Price (vCPU/hour)(USD) | $0.04-0.48 depending on machine type | $0.04-0.48 depending on machine type | |
| Regions Available(regions) | 35+ cloud regions worldwide | 35+ cloud regions worldwide | |
| Setup Complexity (1-10 scale)(complexity score) | 8/10 (requires IAM, VPC, networking knowledge) | 8/10 (requires IAM, VPC, networking knowledge) | |
| Entry-Level Compute Cost (Monthly)(USD) | $19.25/month (e2-micro) | $19.25/month (e2-micro) | |
| Free Trial Credit(USD) | $300 | $300 | |
| Time to Deploy Hello World(minutes) | 15-20 minutes | 15-20 minutes | |
| Enterprise Support Starting Price(USD/month) | $500/month | $500/month | |
| Minimum Monthly Cost (Production Setup)(USD) | $25-50 (1 VM + storage) | $25-50 (1 VM + storage) | |
| Managed Database Services(count) | 8+ (SQL, NoSQL, Graph, Time-series) | 8+ (SQL, NoSQL, Graph, Time-series) | |
| Serverless Function Cost (1M executions/month)(USD) | $4-8 (Cloud Functions) | $4-8 (Cloud Functions) | |
| Initial Setup Time(minutes) | 2-4 hours (GKE managed) | 2-4 hours (GKE managed) | |
| Base Licensing Cost(USD annually) | Starts at $0.31 per cluster/hour | Starts at $0.31 per cluster/hour | |
| Enterprise Support SLA | 99.95% SLA guaranteed | 99.95% SLA guaranteed | |
| Average Cluster Management Time(hours/month) | 5-10 hours/month (managed GKE) | 5-10 hours/month (managed GKE) | |
| Entry-Level Compute Instance Cost(USD/month) | $25 | $25 | |
| AI/ML Service Count(services) | 40+ | 40+ | |
| Managed Kubernetes Cluster Cost(USD/month) | $73 | $73 | |
| Dashboard Setup Time (Learning Curve)(complexity score 1-10) | 8 | 8 | |
| BigQuery Analytics Capability(petabytes/day processed) | 100+ | 100+ | |
| Minimum Monthly Cost (Basic VM)(USD) | $0 (free tier) | $0 (free tier) | |
| Typical Production Compute Cost (2vCPU, 4GB RAM)(USD/month) | $60-90/month | $60-90/month | |
| Data Egress Cost(USD per GB) | $0.12/GB | $0.12/GB | |
| Managed Kubernetes (K8s) Base Cost(USD/month) | $73+/month (GKE cluster fee) | $73+/month (GKE cluster fee) | |
| Setup Time for Experienced Dev(minutes) | 30-45 minutes | 30-45 minutes | |
| Free Trial/Credits Duration(days) | 90 days ($300 credits) | 90 days ($300 credits) | |
| Average Latency to End Users(ms) | 50-150ms (varies by region) | 50-150ms (varies by region) | |
| AI/ML Model Count Available(models) | 150+ pre-trained models via Vertex AI | 150+ pre-trained models via Vertex AI | |
| Setup Time for Basic Deployment(minutes) | 60-120 minutes (includes VPC, IAM, networking) | 60-120 minutes (includes VPC, IAM, networking) | |
| Supported Programming Languages(languages) | 20+ languages (Python, Go, Java, Node.js, etc.) | 20+ languages (Python, Go, Java, Node.js, etc.) |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
AW
3Amazon Web Services (AWS)Evenly matched1 tie
GC
3Google Cloud Platform (GCP)Amazon Web Services (AWS)
Attribute
Google Cloud Platform (GCP)
- 32%(winner)Global Market Share11%
- 200+(winner)Number of Services Offered100+
- 2.1 seconds (sample 1TB query)BigQuery Analytics Performance1.8 seconds (native advantage)(winner)
- $0.0535Compute Pricing (per vCPU/hour)$0.0396(winner)
- 33 regionsData Centers Globally42 regions(winner)
- 65% of Fortune 500(winner)Enterprise Customer Base35% of Fortune 500
- AutoML, multi-modal modelsVertex AI vs SageMaker CapabilitiesBroader pre-built models, AutoML
- Global Market Share
Amazon Web Services (AWS)
32%(winner)
Google Cloud Platform (GCP)
11%
- Number of Services Offered
Amazon Web Services (AWS)
200+(winner)
Google Cloud Platform (GCP)
100+
- BigQuery Analytics Performance
Amazon Web Services (AWS)
2.1 seconds (sample 1TB query)
Google Cloud Platform (GCP)
1.8 seconds (native advantage)(winner)
- Compute Pricing (per vCPU/hour)
Amazon Web Services (AWS)
$0.0535
Google Cloud Platform (GCP)
$0.0396(winner)
- Data Centers Globally
Amazon Web Services (AWS)
33 regions
Google Cloud Platform (GCP)
42 regions(winner)
- Enterprise Customer Base
Amazon Web Services (AWS)
65% of Fortune 500(winner)
Google Cloud Platform (GCP)
35% of Fortune 500
- Vertex AI vs SageMaker Capabilities
Amazon Web Services (AWS)
AutoML, multi-modal models
Google Cloud Platform (GCP)
Broader pre-built models, AutoML
Full Comparison
| Attribute | Amazon Web Services (AWS) | Google Cloud Platform (GCP) |
|---|---|---|
| Standard Storage Cost($/GB/month) | $0.023 | — |
| Archival Storage Cost($/GB/month) | $0.004 | — |
| Pricing Model Complexity(simplicity score) | 5/10 | 9/10(winner) |
| Base Software Cost(USD) | Pay-per-use only | — |
| Terraform Cloud Team Plan Cost(USD/month per user) | N/A | — |
Show 32 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 $0.0298 Data Transfer Out Cost(USD/GB) $0.02 $0.12 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) — 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 — Minimum Monthly Cost (Paid Tier)(USD) $0 (pay-per-use only) — Monthly Free Credits/Tier(USD) $300 — BigQuery/Analytics Equivalent Cost(USD per TB scanned) $6.25 — Compute Instance (2vCPU, 8GB RAM)(USD/month) $65-$78 — Oracle Database License Discount(% savings) No discount — Cheapest Virtual Machine (Hourly)(USD) $0.04/hour ($29.20/month) — Monthly Starting Cost(USD) $50-200 — Free Tier Compute(vCPU hours/month) 300 e2-micro hours (App Engine) — Compute Price (vCPU/hour)(USD) $0.04-0.48 depending on machine type — Entry-Level Compute Cost (Monthly)(USD) $19.25/month (e2-micro) — Minimum Monthly Cost (Production Setup)(USD) $25-50 (1 VM + storage) — Entry-Level Compute Instance Cost(USD/month) $25 — Managed Kubernetes Cluster Cost(USD/month) $73 — Minimum Monthly Cost (Basic VM)(USD) $0 (free tier) — Typical Production Compute Cost (2vCPU, 4GB RAM)(USD/month) $60-90/month — Data Egress Cost(USD per GB) $0.12/GB — Free Tier Availability(text) Limited free tier ($25-$100/month minimum for production) — | ||
| AI/ML Model Flexibility | Multiple models via Bedrock | — |
| Hybrid Cloud Support Maturity | AWS Outposts (limited) | — |
| Global Availability Zones(zones) | 33 | 42(winner) |
| Global Geographic Regions(regions) | 33 regions | — |
| Availability Zones (AWS regions)(zones) | 105+ zones | — |
| Global Data Center Regions(regions) | 33 regions | 42(winner) |
Show 6 more attributesGlobal Data Centers(count) 31 regions 40+ regions Global Edge Locations(count) 600+ 40+ regions Native Database Options(count) 24+ (RDS, DynamoDB, Aurora, Redshift, etc.) 8 (SQL, Firestore, Spanner, BigQuery, Datastore, Memorystore, AlloyDB, DynamoDB) Global Regions(regions) 33 42 Global Data Center Locations(locations) 40+ regions — Regions Available(regions) 35+ cloud regions worldwide — | ||
| Container Serverless Performance | Fargate (feature-rich) | — |
| Market Share 2026(%) | 32% | — |
| Global Market Share (2026)(%) | 32%(winner) | 11% |
| Global Market Share(%) | 32%(winner) | 11% |
| Global Market Share (Cloud IaaS)(%) | 32% | — |
| Cloud Market Share(percentage) | 32% of public cloud (2024) | — |
| Total Available Services(services) | 200+(winner) | 100+ |
| ML/AI Service Innovation Rating(score) | 8/10 | 10/10(winner) |
| Hybrid Cloud Support Level(capability) | Moderate (Outposts) | Good (Anthos) |
| SQL Server Database Support(text) | RDS for SQL Server (third-party) | — |
| Windows/Active Directory Integration(native score) | 4/10(winner) | 3/10 |
| Developer Community Size(millions) | Largest | Growing |
| GitHub Stars(stars) | N/A (not a single GitHub repo) | — |
| Active Developer Community(developers) | 7.6 million | — |
| Container/Kubernetes Strength(native integration) | Strong (ECS/EKS) | Best (GKE native) |
| BigQuery-Grade Analytics(capability) | Via Athena/Redshift | Native (BigQuery) |
| Supported Cloud Providers(count) | AWS only | — |
| 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) | — |
| Lambda/Serverless Cold Start Latency(milliseconds) | 100-3000 | — |
| Typical Edge Response Time(milliseconds) | ~80ms (median global) | — |
| Average Global Latency(milliseconds) | 50-150ms | ~75ms(winner) |
Show 8 more attributesServerless Function Timeout(minutes) 15 minutes — Max Serverless Memory(GB) 10 GB — Cold Start Latency(milliseconds) 500-2000ms — Autonomous Database Uptime SLA(% availability) 99.95% — Apache Spark Query Performance Boost(x faster vs open-source) 1.5-2x (Dataproc optimization) — BigQuery/Equivalent Query Speed (1TB dataset)(seconds) 8-12 sec (native BigQuery) — Average Deployment Time(seconds) 300-900 seconds (App Engine) — Average Latency to End Users(ms) 50-150ms (varies by region) — | ||
| 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) | — |
| Kubernetes Container Orchestration | Supported (GKE) - industry standard with advanced networking | — |
| Service Count(services) | 200+(winner) | 100+ |
| Number of Available Services/Products(count) | 200+ | — |
| Available Services/Features(count) | 200+ services | — |
| ML Training Setup Time(hours) | 8-12 hours (SageMaker) | 2-3 hours (Vertex AI)(winner) |
| Kubernetes Integration Complexity(manual steps) | 18-25 steps (EKS setup) | 3-4 steps (GKE)(winner) |
| 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) | — |
| Setup Complexity (Learning Hours Required)(hours) | 40+ hours for foundational AWS certification | — |
Show 1 more attributeTime to Deploy Hello World(minutes) 15-20 minutes — | ||
| BigQuery Query Latency(seconds) | 15-30 seconds (Athena, 1TB scan) | 2-5 seconds (BigQuery, 1TB scan)(winner) |
| Enterprise Support Annual Cost(USD) | $15,000 | $12,500(winner) |
| 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) | — |
| Available Services(count) | 200+ services | 200+ |
| Integrated Services(count) | 200+ services | — |
Show 6 more attributesManaged Database Types(count) 25+ (including Spanner, Firestore, Bigtable) — ML/AI Services(count) Vertex AI, TensorFlow, Vision API, NLP API, AutoML (5+ major services) — Kubernetes (Managed)(null) GKE (Enterprise-grade, full API support) — Database Options(types) 15+ (Cloud SQL, Firestore, Bigtable, Spanner, Memorystore) — AI/ML Service Count(services) 40+ — BigQuery Analytics Capability(petabytes/day processed) 100+ — | ||
| Premium Support Response Time(minutes) | 1 hour (Business Support) | — |
| Enterprise Support Starting Price(USD/month) | $500/month | — |
| Enterprise Support SLA | 99.95% SLA guaranteed | — |
| Minimum Setup Time(minutes) | 120 minutes | — |
| Typical App Deployment Time(minutes) | 30-45 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 | — |
| Setup Time (Minutes)(minutes) | 120+ minutes (full configuration) | — |
| Average Learning Curve(weeks to productivity) | 8-12 weeks | — |
| Setup Time for Basic Deployment(minutes) | 60-120 minutes (includes VPC, IAM, networking) | — |
| SLA Uptime Guarantee(percent) | 99.99% (us-east-1 region)(winner) | 99.95% |
| Uptime SLA Guarantee(percent) | 99.99% (multi-region) | — |
| Uptime SLA(percent) | 99.9% (Cloud DNS) | — |
| Concurrent Connections per Instance(requests/second) | 50,000+ (t3.large EC2) | — |
| Maximum RAM per Instance(GB) | 24,576 | — |
| Multi-Cloud Support(cloud providers) | AWS only | GCP 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 | — |
| 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(availability) | Limited in standard tier, requires Cloud Armor | — |
| DDoS Protection Capacity(Tbps) | Included (capacity varies by plan) | — |
| Dedicated Database Services(services) | 15+ (RDS, DynamoDB, Redshift, etc.) | — |
| Managed Database Services(count) | 8+ (SQL, NoSQL, Graph, Time-series) | — |
| 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 | — |
| Supported Programming Languages(languages) | 20+ languages (Python, Go, Java, Node.js, etc.) | — |
| 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+(winner) | 100+ |
| Compute Instance Pricing (on-demand)(USD/vCPU/hour) | $0.0535 | $0.0396(winner) |
| Free Tier Credit Duration(months) | 12 months(winner) | 3 months (but $300 credit) |
| Base Licensing Cost(USD annually) | Starts at $0.31 per cluster/hour | — |
| BigQuery Query Performance (1TB test)(seconds) | N/A (Redshift: 8-12s) | 1.8 seconds |
| Fortune 500 Adoption Rate(%) | 65%(winner) | 35% |
| ML Service Leader(text) | SageMaker (good, broad) | Vertex AI (best-in-class) |
| AI/ML Model Catalog(pre-built models) | 40+ models in Vertex AI | — |
| Native ML Pipeline Integration(rating) | Vertex AI (robust, separate service) | — |
| Pro Plan Cost(USD/month) | Variable (usage-based) | — |
| Free Trial Credits(USD) | $300 (90 days) | — |
| Free Trial Credit(USD) | $300 | — |
| Free Trial/Credits Duration(days) | 90 days ($300 credits) | — |
| AI/ML Service Maturity | Advanced (Vertex AI, AutoML, BigQuery ML) | — |
| Machine Learning Services(count) | Vertex AI, BigQuery ML, TensorFlow, AutoML | — |
| Organizations Using Platform(count (thousands)) | 4,000,000+ (GCP users across Alphabet ecosystem) | — |
| Data Lakehouse ACID Support(capability) | BigLake (preview), requires external ACID solutions | — |
| Setup Complexity (1-10 scale)(complexity score) | 8/10 (requires IAM, VPC, networking knowledge) | — |
| Dashboard Setup Time (Learning Curve)(complexity score 1-10) | 8 | — |
| Setup Time for Experienced Dev(minutes) | 30-45 minutes | — |
| Serverless Function Cost (1M executions/month)(USD) | $4-8 (Cloud Functions) | — |
| Kubernetes Support | GKE with full managed support | — |
| Initial Setup Time(minutes) | 2-4 hours (GKE managed) | — |
| Container Support(container types) | Docker, Containerd, CRI-O (via GKE) | — |
| Vendor Lock-in Risk Level(risk level) | High (proprietary services) | — |
| Average Cluster Management Time(hours/month) | 5-10 hours/month (managed GKE) | — |
| Multi-cloud Deployment Support | GCP only | — |
| Managed Kubernetes (K8s) Base Cost(USD/month) | $73+/month (GKE cluster fee) | — |
| Built-in AI/ML Capabilities | Full suite (Vertex AI, BigQuery ML, TensorFlow native) | — |
| AI/ML Model Count Available(models) | 150+ pre-trained models via Vertex AI | — |
| Cloudflare Market Valuation (2025)(USD Billion) | Part of Alphabet Inc. (~$2.2 trillion market cap) | — |
AAmazon Web Services (AWS)
GGoogle Cloud Platform (GCP)
Standard Storage Cost($/GB/month)
$0.023
—
Archival Storage Cost($/GB/month)
$0.004
—
Pricing Model Complexity(simplicity score)
5/10
9/10
Base Software Cost(USD)
Pay-per-use only
—
Terraform Cloud Team Plan Cost(USD/month per user)
N/A
—
Show 32 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
$0.0298
Data Transfer Out Cost(USD/GB)
$0.02
$0.12
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)
—
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
—
Minimum Monthly Cost (Paid Tier)(USD)
$0 (pay-per-use only)
—
Monthly Free Credits/Tier(USD)
$300
—
BigQuery/Analytics Equivalent Cost(USD per TB scanned)
$6.25
—
Compute Instance (2vCPU, 8GB RAM)(USD/month)
$65-$78
—
Oracle Database License Discount(% savings)
No discount
—
Cheapest Virtual Machine (Hourly)(USD)
$0.04/hour ($29.20/month)
—
Monthly Starting Cost(USD)
$50-200
—
Free Tier Compute(vCPU hours/month)
300 e2-micro hours (App Engine)
—
Compute Price (vCPU/hour)(USD)
$0.04-0.48 depending on machine type
—
Entry-Level Compute Cost (Monthly)(USD)
$19.25/month (e2-micro)
—
Minimum Monthly Cost (Production Setup)(USD)
$25-50 (1 VM + storage)
—
Entry-Level Compute Instance Cost(USD/month)
$25
—
Managed Kubernetes Cluster Cost(USD/month)
$73
—
Minimum Monthly Cost (Basic VM)(USD)
$0 (free tier)
—
Typical Production Compute Cost (2vCPU, 4GB RAM)(USD/month)
$60-90/month
—
Data Egress Cost(USD per GB)
$0.12/GB
—
Free Tier Availability(text)
Limited free tier ($25-$100/month minimum for production)
—
AI/ML Model Flexibility
Multiple models via Bedrock
—
Hybrid Cloud Support Maturity
AWS Outposts (limited)
—
Global Availability Zones(zones)
33
42
Global Geographic Regions(regions)
33 regions
—
Availability Zones (AWS regions)(zones)
105+ zones
—
Global Data Center Regions(regions)
33 regions
42
Show 6 more attributes
Global Data Centers(count)
31 regions
40+ regions
Global Edge Locations(count)
600+
40+ regions
Native Database Options(count)
24+ (RDS, DynamoDB, Aurora, Redshift, etc.)
8 (SQL, Firestore, Spanner, BigQuery, Datastore, Memorystore, AlloyDB, DynamoDB)
Global Regions(regions)
33
42
Global Data Center Locations(locations)
40+ regions
—
Regions Available(regions)
35+ cloud regions worldwide
—
Container Serverless Performance
Fargate (feature-rich)
—
Market Share 2026(%)
32%
—
Global Market Share (2026)(%)
32%
11%
Global Market Share(%)
32%
11%
Global Market Share (Cloud IaaS)(%)
32%
—
Cloud Market Share(percentage)
32% of public cloud (2024)
—
Total Available Services(services)
200+
100+
ML/AI Service Innovation Rating(score)
8/10
10/10
Hybrid Cloud Support Level(capability)
Moderate (Outposts)
Good (Anthos)
SQL Server Database Support(text)
RDS for SQL Server (third-party)
—
Windows/Active Directory Integration(native score)
4/10
3/10
Developer Community Size(millions)
Largest
Growing
GitHub Stars(stars)
N/A (not a single GitHub repo)
—
Active Developer Community(developers)
7.6 million
—
Container/Kubernetes Strength(native integration)
Strong (ECS/EKS)
Best (GKE native)
BigQuery-Grade Analytics(capability)
Via Athena/Redshift
Native (BigQuery)
Supported Cloud Providers(count)
AWS only
—
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)
—
Lambda/Serverless Cold Start Latency(milliseconds)
100-3000
—
Typical Edge Response Time(milliseconds)
~80ms (median global)
—
Average Global Latency(milliseconds)
50-150ms
~75ms
Show 8 more attributes
Serverless Function Timeout(minutes)
15 minutes
—
Max Serverless Memory(GB)
10 GB
—
Cold Start Latency(milliseconds)
500-2000ms
—
Autonomous Database Uptime SLA(% availability)
99.95%
—
Apache Spark Query Performance Boost(x faster vs open-source)
1.5-2x (Dataproc optimization)
—
BigQuery/Equivalent Query Speed (1TB dataset)(seconds)
8-12 sec (native BigQuery)
—
Average Deployment Time(seconds)
300-900 seconds (App Engine)
—
Average Latency to End Users(ms)
50-150ms (varies by region)
—
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)
—
Kubernetes Container Orchestration
Supported (GKE) - industry standard with advanced networking
—
Service Count(services)
200+
100+
Number of Available Services/Products(count)
200+
—
Available Services/Features(count)
200+ services
—
ML Training Setup Time(hours)
8-12 hours (SageMaker)
2-3 hours (Vertex AI)
Kubernetes Integration Complexity(manual steps)
18-25 steps (EKS setup)
3-4 steps (GKE)
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)
—
Setup Complexity (Learning Hours Required)(hours)
40+ hours for foundational AWS certification
—
Show 1 more attribute
Time to Deploy Hello World(minutes)
15-20 minutes
—
BigQuery Query Latency(seconds)
15-30 seconds (Athena, 1TB scan)
2-5 seconds (BigQuery, 1TB scan)
Enterprise Support Annual Cost(USD)
$15,000
$12,500
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)
—
Available Services(count)
200+ services
200+
Integrated Services(count)
200+ services
—
Show 6 more attributes
Managed Database Types(count)
25+ (including Spanner, Firestore, Bigtable)
—
ML/AI Services(count)
Vertex AI, TensorFlow, Vision API, NLP API, AutoML (5+ major services)
—
Kubernetes (Managed)(null)
GKE (Enterprise-grade, full API support)
—
Database Options(types)
15+ (Cloud SQL, Firestore, Bigtable, Spanner, Memorystore)
—
AI/ML Service Count(services)
40+
—
BigQuery Analytics Capability(petabytes/day processed)
100+
—
Premium Support Response Time(minutes)
1 hour (Business Support)
—
Enterprise Support Starting Price(USD/month)
$500/month
—
Enterprise Support SLA
99.95% SLA guaranteed
—
Minimum Setup Time(minutes)
120 minutes
—
Typical App Deployment Time(minutes)
30-45 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
—
Setup Time (Minutes)(minutes)
120+ minutes (full configuration)
—
Average Learning Curve(weeks to productivity)
8-12 weeks
—
Setup Time for Basic Deployment(minutes)
60-120 minutes (includes VPC, IAM, networking)
—
SLA Uptime Guarantee(percent)
99.99% (us-east-1 region)
99.95%
Uptime SLA Guarantee(percent)
99.99% (multi-region)
—
Uptime SLA(percent)
99.9% (Cloud DNS)
—
Concurrent Connections per Instance(requests/second)
50,000+ (t3.large EC2)
—
Maximum RAM per Instance(GB)
24,576
—
Multi-Cloud Support(cloud providers)
AWS only
GCP 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
—
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(availability)
Limited in standard tier, requires Cloud Armor
—
DDoS Protection Capacity(Tbps)
Included (capacity varies by plan)
—
Dedicated Database Services(services)
15+ (RDS, DynamoDB, Redshift, etc.)
—
Managed Database Services(count)
8+ (SQL, NoSQL, Graph, Time-series)
—
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
—
Supported Programming Languages(languages)
20+ languages (Python, Go, Java, Node.js, etc.)
—
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+
100+
Compute Instance Pricing (on-demand)(USD/vCPU/hour)
$0.0535
$0.0396
Free Tier Credit Duration(months)
12 months
3 months (but $300 credit)
Base Licensing Cost(USD annually)
Starts at $0.31 per cluster/hour
—
BigQuery Query Performance (1TB test)(seconds)
N/A (Redshift: 8-12s)
1.8 seconds
Fortune 500 Adoption Rate(%)
65%
35%
ML Service Leader(text)
SageMaker (good, broad)
Vertex AI (best-in-class)
AI/ML Model Catalog(pre-built models)
40+ models in Vertex AI
—
Native ML Pipeline Integration(rating)
Vertex AI (robust, separate service)
—
Pro Plan Cost(USD/month)
Variable (usage-based)
—
Free Trial Credits(USD)
$300 (90 days)
—
Free Trial Credit(USD)
$300
—
Free Trial/Credits Duration(days)
90 days ($300 credits)
—
AI/ML Service Maturity
Advanced (Vertex AI, AutoML, BigQuery ML)
—
Machine Learning Services(count)
Vertex AI, BigQuery ML, TensorFlow, AutoML
—
Organizations Using Platform(count (thousands))
4,000,000+ (GCP users across Alphabet ecosystem)
—
Data Lakehouse ACID Support(capability)
BigLake (preview), requires external ACID solutions
—
Setup Complexity (1-10 scale)(complexity score)
8/10 (requires IAM, VPC, networking knowledge)
—
Dashboard Setup Time (Learning Curve)(complexity score 1-10)
8
—
Setup Time for Experienced Dev(minutes)
30-45 minutes
—
Serverless Function Cost (1M executions/month)(USD)
$4-8 (Cloud Functions)
—
Kubernetes Support
GKE with full managed support
—
Initial Setup Time(minutes)
2-4 hours (GKE managed)
—
Container Support(container types)
Docker, Containerd, CRI-O (via GKE)
—
Vendor Lock-in Risk Level(risk level)
High (proprietary services)
—
Average Cluster Management Time(hours/month)
5-10 hours/month (managed GKE)
—
Multi-cloud Deployment Support
GCP only
—
Managed Kubernetes (K8s) Base Cost(USD/month)
$73+/month (GKE cluster fee)
—
Built-in AI/ML Capabilities
Full suite (Vertex AI, BigQuery ML, TensorFlow native)
—
AI/ML Model Count Available(models)
150+ pre-trained models via Vertex AI
—
Cloudflare Market Valuation (2025)(USD Billion)
Part of Alphabet Inc. (~$2.2 trillion market cap)
—
Pros & Cons
10 pros·6 cons across both
AW
GC
AW
Amazon Web Services (AWS)
+5-3
Pros
- 200+ services covering every cloud use case (compute, storage, ML, IoT, blockchain)
- Largest partner ecosystem with 100,000+ certified partners
- 65% of Fortune 500 use AWS, creating strong network effects
- EC2 Reserved Instances offer up to 72% savings on 3-year commitments
- Mature documentation with 15+ years of production deployments
Cons
- Pricing is 25-30% higher than Google Cloud for equivalent compute resources
- Steeper learning curve with overwhelming service selection for new users
- AI/ML services (SageMaker) are less competitive than Google Cloud's Vertex AI
GC
Google Cloud Platform (GCP)
+5-3
Pros
- BigQuery processes 1TB in 1.8 seconds on average—fastest SQL analytics engine globally
- Vertex AI provides industry-leading AutoML and generative AI capabilities (Gemini integration)
- 42 regions globally (9 more than AWS) for better data residency options
- 25-30% lower compute pricing than AWS on equivalent vCPU/memory configurations
- Seamless integration with TensorFlow, PyTorch, and Google's ML frameworks
Cons
- Only 11% market share limits partner ecosystem and third-party integrations compared to AWS
- Fewer managed services (100+) means more manual configuration for non-AI workloads
- Smaller enterprise adoption (35% of Fortune 500) creates knowledge and hiring challenges
Frequently Asked Questions
5 questions
Google Cloud is 25-30% cheaper on compute resources. A comparable instance costs $0.0396/vCPU/hour on GCP vs $0.0535 on AWS. However, AWS's Reserved Instances can reach parity with 72% discounts on 3-year commitments. Total cost depends on your workload mix—GCP excels in analytics/AI, while AWS pricing is more competitive for traditional infrastructure.
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
Related Comparisons
12 more to explore
AWS vs Google Cloud Platform
softwareTerraform vs AWS
softwareGoogle Cloud vs Cloudflare
softwareGoogle Cloud vs Vercel
softwareGoogle Cloud Platform vs Oracle Cloud Infrastructure
softwareDigitalOcean vs Google Cloud Platform
softwareDatabricks vs Google Cloud Platform
softwareGoogle Cloud Platform vs Vercel
softwareFirebase vs AWS
softwarePulumi vs AWS
softwareAWS vs Hetzner
softwareKubernetes vs Google Cloud
software
Related Articles
5 articles
- technology
Best Streaming Services in 2026: Top Picks for Every Budget & Interest
Navigating the crowded streaming landscape in 2026 can be overwhelming. We've tested and ranked the best streaming services that offer the most value, from Netflix's massive library to budget-friendly options like Tubi, helping you cut cable and find your perfect entertainment solution.
Read article - technology
Best Live TV Streaming Services & Plans for Spring 2026: Complete Buyer's Guide
Tired of overpaying for cable? Discover the best live TV streaming services and plans for Spring 2026, including YouTube TV's new genre-based packages starting at $55/month. Our comprehensive guide breaks down pricing, channels, and features to help you cut the cord.
Read article - technology
Philo in 2026: Streaming TV Service Review, Pricing & Reddit Community Insights
Explore Philo's evolution heading into 2026, including pricing tiers, channel lineup, and how it compares to competitors like Sling TV. Discover what the r/PhiloTV Reddit community thinks about the service's current offerings and future prospects.
Read article - technology
Best US Fighter Jets 2026: Top American Combat Aircraft Ranked
Discover the most advanced US fighter jets dominating the skies in 2026. From the legendary F-22 Raptor to the versatile F-35 Lightning II, we rank America's best combat aircraft based on performance, stealth, and air superiority capabilities.
Read article - technology
Philo in 2026: Pricing, Lineup & How It Compares to Sling TV
As we head into 2026, Philo continues to position itself as an affordable streaming alternative for cable TV lovers. Discover what Philo offers, how its pricing stacks up against competitors like Sling TV, and what the Reddit community thinks about its future.
Read article
Explore More
Related comparisons and categories
Explore Entities
More Software
AI generated