Google vs. AWS
For standard baseline workloads, 15-25% Cheaper on GCE with SUDs, alongside Within 3% (Cloud SQL vs. AWS RDS). Standard Internet egress is similarly priced (~$0.085–$0.12/GB), but GCP Premium Tier network provides lower global latency at identical rates.
Google Cloud offers automatic Sustained Use Discounts (SUDs) and cheaper per-second Kubernetes management on GKE, while AWS leads in instance family breadth and Graviton ARM cost-efficiency.
15-25% Cheaper on GCE with SUDs
Standard on-demand list pricing comparison for general purpose memory and vCPU tiers.
Within 3% (Cloud SQL vs. AWS RDS)
PostgreSQL and MySQL database clusters with high availability and automated daily backups.
Enterprise Tier Egress Rates
Standard Internet egress is similarly priced (~$0.085–$0.12/GB), but GCP Premium Tier network provides lower global latency at identical rates.
Direct Head-to-Head Configuration Shootout
Monthly prices based on 730 hours/month on-demand consumption.
| Workload Profile | GoogleSKU & Rate | AWSSKU & Rate | Cost Advantage |
|---|---|---|---|
Shared/Burstable Compute 2 vCPU • 4 GB RAM • General Burstable | e2-medium ($0.0335/hr) $24.46/mo | t3.medium ($0.0416/hr) $30.37/mo | Google saves 19% |
General Purpose (4 vCPU / 16 GB) 4 vCPU • 16 GB RAM • Balanced Node | n2-standard-4 ($0.194/hr with SUD) $141.62/mo | m5.xlarge ($0.192/hr) $140.16/mo | Rate Parity (Tie) |
Managed Kubernetes Control Plane HA Master Node Management | GKE Standard (1 free cluster/zone) $0.000/mo | Amazon EKS ($0.10/hr) $73.00/mo | Google saves 100% |
Object Storage (10 TB) 10,000 GB Capacity Hot Tier | Google Cloud Storage Standard ($0.020/GB) $200.00/mo | Amazon S3 Standard ($0.023/GB) $230.00/mo | Google saves 13% |
Independent Industry Analyst Recognition (Gartner®, Forrester® & SemiAnalysis)
Verified public research takeaways from Gartner Magic Quadrant™, Forrester Wave™ / TEI, and SemiAnalysis ClusterMAX™ reports.
Praised for AI-native infrastructure (custom TPUs, Vertex AI, Gemini 2.5 reasoning models), serverless planet-scale data analytics (BigQuery), and open Kubernetes leadership (GKE Autopilot).
Official Analyst ResourcesDifferentiated by custom TPU infrastructure, automated Sustained Use Discounts (SUDs), superior data lakehouse integration, and multimodal generative AI developer tooling.
Official Analyst ResourcesRecognized for unmatched operational reliability, breadth of cloud primitives, custom silicon price-performance (Graviton4, Trainium2, Inferentia2), and enterprise AI model orchestration via Amazon Bedrock.
Official Analyst ResourcesCited for industry-leading global infrastructure scale, balanced silicon portfolio with AWS Trainium/Inferentia and NVIDIA GPU instances, and deep managed database and serverless ecosystems.
Official Analyst ResourcesFrequently Asked Questions
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View AllDisclaimer: This comparative benchmark between Google and AWS was originally published on January 15, 2026 and last audited against current vendor catalog APIs on October 20, 2026, where all prices shown reflect standard pay-as-you-go (on-demand) public list pricing and directional comparisons without accounting for custom enterprise discount agreements (EDP / PPA), private pricing, unlisted taxes, or egress surcharges, and does not constitute formal commercial quotes or binding offers. Always verify current rates directly with each provider before finalizing purchasing decisions; see our Terms of Use and Documentation for detailed methodology.