Amazon Web Services and Google Cloud Platform are the two most powerful cloud platforms on the market. AWS leads in breadth of services with 200+ offerings, while GCP excels in AI, machine learning, and data analytics. Choosing between them depends heavily on your use case, team expertise, and workload requirements. We offer verified accounts for both platforms — here is how they compare.
Provider A
Amazon Web Services
4 wins
Provider B
Google Cloud Platform
4 wins
AWS and GCP are evenly matched, each winning 4 of 10 categories with 2 tied. AWS leads on entry price, max credit available, vcpu accounts. GCP leads on ai / ml capabilities, data analytics, global regions. The best choice depends on your workload — read the full breakdown below.
Head to Head
$15 (Free Trial)
Winner$45 ($300 Credit)
$100,000
Winner$25,000
Yes (8–512 vCPU)
WinnerNo (credit-based)
SageMaker, Bedrock
Vertex AI, TPU
WinnerRedshift, Athena
BigQuery (best-in-class)
Winner33 regions
40+ regions
Winner2–8 Hours
Winner30min–12 Hours
7 Days
Tie7 Days
TieEKS
GKE (rated #1)
WinnerLambda (mature)
TieCloud Run (modern)
TieStrengths & Trade-offs
Where it wins
Where it falls behind
Where it wins
Where it falls behind
In Depth
AWS takes this category with $15 (Free Trial), compared to $45 ($300 Credit) on GCP. If entry price is a priority for your workload, AWS is the stronger pick.
AWS takes this category with $100,000, compared to $25,000 on GCP. If max credit available is a priority for your workload, AWS is the stronger pick.
AWS takes this category with Yes (8–512 vCPU), compared to No (credit-based) on GCP. If vcpu accounts is a priority for your workload, AWS is the stronger pick.
GCP takes this category with Vertex AI, TPU, compared to SageMaker, Bedrock on AWS. If ai / ml capabilities is a priority for your workload, GCP is the stronger pick.
GCP takes this category with BigQuery (best-in-class), compared to Redshift, Athena on AWS. If data analytics is a priority for your workload, GCP is the stronger pick.
GCP takes this category with 40+ regions, compared to 33 regions on AWS. If global regions is a priority for your workload, GCP is the stronger pick.
AWS takes this category with 2–8 Hours, compared to 30min–12 Hours on GCP. If account delivery is a priority for your workload, AWS is the stronger pick.
GCP takes this category with GKE (rated #1), compared to EKS on AWS. If kubernetes service is a priority for your workload, GCP is the stronger pick.
Background
Amazon Web Services is a leading cloud platform. Our verified AWS accounts come pre-activated with credits applied and limits raised, so you can deploy production workloads within hours instead of waiting on signup approvals and quota requests.
Google Cloud Platform is a leading cloud platform. Our verified GCP accounts come pre-activated with credits applied and limits raised, so you can deploy production workloads within hours instead of waiting on signup approvals and quota requests.
Decision Guide
Final Verdict
AWS wins on breadth, maximum credit availability, and the widest range of account types including vCPU-based accounts. GCP wins on AI/ML capabilities, BigQuery for analytics, and Kubernetes with GKE. AWS is the safer default for general workloads; GCP is the better choice for data-intensive and AI-focused projects.
Choose AWS if you need the most comprehensive cloud ecosystem, vCPU-based accounts, or the highest credit amounts. Choose GCP if your primary workloads involve machine learning, big data analytics with BigQuery, or you want the best Kubernetes experience with GKE.
Got Questions?
More Comparisons