An honest, experience-based comparison of AWS and Google Cloud for cloud platforms projects. We have shipped production systems with both — here is what we learned.
AWS vs Google Cloud — quick verdict: AWS is the market leader with the broadest service portfolio. Google Cloud excels in AI/ML, data analytics, and Kubernetes. Choose based on your specific workload requirements. ZTABS has shipped production systems with both AWS and Google Cloud. Below is our honest, experience-based comparison. Need help choosing? Get a free consultation →
3
AWS Wins
0
Ties
3
Google Cloud Wins
AWS
10/10
Google Cloud
8/10
AWS offers 200+ services — the widest catalog of any cloud provider. Google Cloud has fewer services but covers all major categories well.
AWS
8/10
Google Cloud
10/10
Google Cloud leads in AI/ML: Vertex AI, TPUs, BigQuery ML, and pre-trained models. Google's research heritage (TensorFlow, BERT, Transformer) gives it a genuine edge.
AWS
8/10
Google Cloud
10/10
Google invented Kubernetes. GKE is widely considered the best managed Kubernetes service — more stable, faster updates, and better auto-scaling than EKS.
AWS
10/10
Google Cloud
7/10
AWS holds ~32% market share and is the default choice for most enterprises. More companies have AWS expertise, making it easier to hire and find support.
AWS
7/10
Google Cloud
9/10
Google Cloud offers sustained-use discounts automatically, per-second billing, and generally more transparent pricing. AWS pricing is complex but offers Reserved Instances for cost savings.
AWS
10/10
Google Cloud
8/10
AWS Lambda is the most mature serverless platform with the largest ecosystem of triggers and integrations. Cloud Functions is solid but less feature-rich.
AWS has the most migration tools, largest partner network, and most enterprise expertise.
Google Cloud's Vertex AI, TPUs, and BigQuery ML provide the best integrated AI infrastructure.
GKE is the gold standard for managed Kubernetes — created by the team that invented Kubernetes.
AWS Lambda has the most triggers, longest track record, and largest serverless ecosystem.
The best technology choice depends on your specific context: team skills, project timeline, scaling requirements, and budget. We have built production systems with both AWS and Google Cloud — talk to us before committing to a stack.
We do not believe in one-size-fits-all technology recommendations. Every project we take on starts with understanding the client's constraints and goals, then recommending the technology that minimizes risk and maximizes delivery speed.
Our senior architects have shipped 500+ projects with both technologies. Get a free consultation — we will recommend the best fit for your specific project.