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.
AWS vs Google Cloud Platform — Side-by-side comparison on A Versus B
Choose 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.
Compare Amazon Web Services (AWS) vs Google Cloud Platform (GCP)
Market-leading cloud platform with 200+ services and 32% global market share
Analytics and AI-focused cloud with 11% market share, 42 global regions, and superior data processing
AWS vs Google Cloud Platform — Comparison Data
Structured comparison data for AWS vs Google Cloud Platform with 172 attributes.
Monthly Cost (1 vCPU, 1GB RAM, Standard Instance)
Monthly Cost for 10TB Egress Data Transfer
Estimated Learning Time for New Developer
Cost for Standard Production App (2 dynos + add-ons)
Compute Instance Starting Price (hourly)
Serverless Function Cost per 1M Requests
Setup Complexity (Learning Hours Required)
BigQuery/Equivalent Query Speed (1TB dataset)
Serverless Function Cost (1M executions/month)
Typical Production Compute Cost (2vCPU, 4GB RAM)
AWS vs Google Cloud Platform — Attribute Category Vocabulary
Taxonomy of attribute categories used to classify comparison data for AWS vs Google Cloud Platform.
Which cloud platform is cheaper, AWS or Google Cloud?
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.
Is AWS or Google Cloud better for machine learning?
Google Cloud is superior for machine learning. Vertex AI offers industry-leading AutoML, better integration with TensorFlow/PyTorch, and seamless Gemini LLM access. AWS SageMaker is capable but more complex. Google's data science teams consistently rank GCP's ML tools higher in benchmarks. However, AWS has broader integration with non-ML services, making it better for end-to-end pipelines in established enterprises.
Can I use both AWS and Google Cloud together?
Yes, many enterprises use both (multi-cloud strategy). Tools like Terraform and Kubernetes enable portability. However, multi-cloud increases complexity, operational costs, and splits team focus. Data synchronization between platforms incurs additional egress fees (typically $0.02/GB). Most organizations choose one primary platform and use the other only for specific strengths (e.g., GCP for analytics, AWS for general infrastructure).
Which cloud has better customer support?
AWS has broader support with 24/7 Premium Support ($15,000+/month) and more certified partners. Google Cloud offers comparable technical support but fewer third-party integration options. AWS's dominance means faster community problem-solving and more consultants available. For Fortune 500 companies, AWS support ecosystem is significantly more mature; for startups, both are adequate.
How do AWS and Google Cloud compare for databases?
AWS offers broader database variety (RDS, DynamoDB, Neptune, DocumentDB, etc.) covering every use case. Google Cloud excels in BigQuery for analytics and Firestore/Datastore for NoSQL. AWS is more flexible for relational databases and cross-engine support. For data warehousing and real-time analytics, BigQuery has no equal. For traditional OLTP applications, AWS's RDS is more mature.