Choosing between Amazon Web Services (AWS) and Google Cloud Platform (GCP) is one of the most consequential technology decisions a business can make. While both platforms offer similar core services, their pricing models, discount structures, and cost optimization strategies differ significantly. This guide provides a detailed pricing comparison to help you make an informed decision based on your specific needs and budget.
Market Overview
AWS dominates the cloud market with approximately 31% market share, followed by Microsoft Azure at 25% and Google Cloud at 11%. While AWS has the largest service catalog and the most mature ecosystem, Google Cloud has been gaining ground rapidly, particularly in data analytics, machine learning, and Kubernetes workloads. GCP's pricing strategy has historically been more aggressive, often positioning itself as the more cost-effective option.
Compute Pricing Comparison
Compute instances are typically the largest line item in any cloud bill. Both platforms offer a range of instance types optimized for different workloads:
On-Demand Pricing: For a general-purpose instance with 4 vCPUs and 16 GB RAM, AWS (m6i.xlarge) costs approximately $0.192/hour ($140.16/month), while GCP (n2-standard-4) costs approximately $0.194/hour ($141.62/month). Prices are remarkably similar at the on-demand level, though they vary significantly by region.
Sustained Use Discounts: This is where GCP shines. Google automatically applies sustained use discounts to instances running more than 25% of a month, with discounts increasing up to 30% for instances running all month. This is automatic — no commitment or upfront payment required. AWS has no equivalent; you must purchase Reserved Instances or Savings Plans to get discounts.
Committed Use Discounts: GCP offers 1-year (37% discount) and 3-year (55% discount) committed use discounts. AWS offers comparable discounts through Reserved Instances: 1-year (up to 40% savings) and 3-year (up to 60% savings) with various payment options (all upfront, partial upfront, or no upfront payment).
Spot/Preemptible Instances: Both platforms offer heavily discounted instances that can be interrupted. AWS Spot Instances offer up to 90% discount but prices fluctuate with demand. GCP Spot VMs (replacing the old Preemptible VMs) offer up to 91% discount with a flat discount rate that's more predictable. For fault-tolerant workloads like batch processing and data analysis, spot instances on either platform offer tremendous savings.
Storage Pricing
Object Storage: AWS S3 Standard costs $0.023/GB/month for the first 50 TB. GCP Cloud Storage Standard costs $0.020/GB/month. GCP is approximately 13% cheaper for standard object storage. Both offer cheaper tiers for infrequent access and archival storage: AWS S3 Glacier Deep Archive at $0.00099/GB/month versus GCP Archive Storage at $0.0012/GB/month — AWS is slightly cheaper for long-term archival.
Block Storage: AWS EBS General Purpose (gp3) costs $0.08/GB/month. GCP Persistent Disk (pd-balanced) costs $0.10/GB/month. AWS has a slight edge in block storage pricing. However, GCP's Local SSDs offer exceptional performance at competitive prices for temporary high-performance storage needs.
Data Transfer: This is often the hidden cost in cloud computing. Both platforms charge for egress (data leaving the cloud) but not for ingress (data coming in). AWS charges $0.09/GB for the first 10 TB of egress, while GCP charges $0.12/GB. However, GCP offers a Premium Tier network (using Google's global network) and a Standard Tier (using public internet) — the Standard Tier at $0.085/GB is cheaper than AWS. Google also offers 200 GB of free egress per month.
Database Pricing
Managed Relational Databases: AWS RDS and GCP Cloud SQL offer similar managed database services for MySQL, PostgreSQL, and SQL Server. Pricing is comparable, with GCP generally being 5-10% cheaper for equivalent configurations.
NoSQL Databases: AWS DynamoDB and GCP Firestore/Bigtable serve similar purposes but with different pricing models. DynamoDB charges per request and per GB of storage, while Firestore charges per document operation. For high-throughput workloads, DynamoDB's on-demand pricing can become expensive quickly; provisioned capacity with auto-scaling is often more cost-effective.
BigQuery vs. Redshift: For data warehousing, GCP's BigQuery offers a unique serverless model with per-query pricing ($5 per TB scanned) or flat-rate pricing for predictable costs. AWS Redshift uses a traditional cluster-based pricing model. For organizations with unpredictable query patterns, BigQuery's on-demand model can be significantly more cost-effective. For steady, predictable workloads, Redshift may offer better value.
Networking and CDN
Load Balancing: GCP's global load balancing is included at no extra cost with their load balancer pricing, which starts at $0.025/hour plus per-GB charges. AWS Application Load Balancer costs $0.0225/hour plus per LCU charges, which can add up with high traffic.
CDN: AWS CloudFront and GCP Cloud CDN have similar pricing structures. CloudFront's pricing starts at $0.085/GB for the first 10 TB, while Cloud CDN starts at $0.08/GB. Both offer volume discounts, and CloudFront includes a generous free tier (1 TB per month).
Cost Optimization Strategies
Right-Sizing: Both platforms offer tools to identify oversized instances. AWS has Trusted Advisor and Cost Explorer, while GCP has the Recommender. Studies show that most organizations over-provision by 30-40%, representing significant potential savings.
Auto-Scaling: Configure auto-scaling to match capacity to demand. This ensures you're not paying for idle resources during low-traffic periods while maintaining performance during peaks.
Use Managed Services: Managed services like serverless functions (AWS Lambda, GCP Cloud Functions), managed Kubernetes (EKS, GKE), and managed databases often provide better cost efficiency than self-managed alternatives, especially when factoring in operational overhead.
Monitor and Budget: Set up billing alerts and budgets on both platforms. AWS Cost Explorer and GCP Cost Management provide detailed breakdowns of spending. Third-party tools like CloudHealth, Spot.io, and Infracost can provide additional optimization recommendations.
Free Tier Comparison
Both platforms offer generous free tiers: AWS provides 12 months of free tier access for many services plus always-free offerings like Lambda (1M requests/month) and DynamoDB (25 GB). GCP offers a $300 credit for 90 days plus always-free tiers including Compute Engine (1 e2-micro instance), Cloud Storage (5 GB), BigQuery (1 TB queries/month), and Cloud Functions (2M invocations/month).
Making the Right Choice
The best cloud platform depends on your specific situation. Choose AWS if you need the broadest service catalog, have existing AWS expertise, require specific services only available on AWS, or need the most extensive global infrastructure. Choose GCP if you're heavily invested in data analytics or ML, prefer automatic cost optimization (sustained use discounts), use Kubernetes extensively (GKE is widely considered the best managed Kubernetes service), or want simpler pricing with fewer options to navigate.
Conclusion
Both AWS and Google Cloud are excellent platforms capable of supporting workloads of any scale. While GCP often offers more competitive base pricing and automatic discounts, AWS provides deeper discounts for committed usage and has a broader service ecosystem. The most cost-effective choice depends on your specific workload patterns, existing expertise, and long-term cloud strategy. Use our AWS Cost Calculator and Google Cloud Pricing Calculator to estimate costs for your specific requirements and make data-driven decisions about your cloud infrastructure.