Comparison
An honest 2026 comparison of Amazon Web Services and Google Cloud (compute, data, AI, networking, pricing and total cost) from a Google Cloud Partner.
If your priorities are data analytics, AI/ML, Kubernetes and price-performance, Google Cloud is the stronger choice, BigQuery, Vertex AI and Gemini, GKE (Kubernetes was born at Google) and a private global network, with automatic sustained-use discounts that often lower TCO. AWS remains the breadth leader with the largest service catalog, the longest maturity and the biggest market share and ecosystem, so teams that need the widest set of managed services or are deeply invested may stay. For most data- and AI-heavy organisations, Google Cloud wins on cost, analytics and AI, and your AWS workloads can migrate with you.
At a glance
| Feature | AWS | Google Cloud |
|---|---|---|
| Compute (VMs) | EC2, vast instance catalog | Compute Engine, automatic sustained-use discounts |
| Data warehouse | Redshift | ✓ BigQuery, serverless, separation of storage/compute |
| AI / ML platform | SageMaker / Bedrock | ✓ Vertex AI + Gemini, data & AI leadership |
| Managed Kubernetes | EKS | ✓ GKE, Kubernetes heritage, Autopilot |
| Object storage | S3, category-defining | Cloud Storage, single global namespace |
| Network | Large global footprint | ✓ Private global backbone |
| Discounts model | Savings Plans / Reserved (commit required) | ✓ Automatic sustained-use + committed-use |
| Service breadth | ✓ Broadest catalog in the market | Narrower but strong where it matters |
| Market share & ecosystem | ✓ Largest | Growing fast |
Head to head
Breadth of services. AWS has the widest catalog of managed services and the longest track record, if you need a niche managed service, AWS most likely has it first.
Maturity & market share. The largest install base, the deepest third-party ecosystem and the biggest pool of certified talent.
Existing investment. If your org, tooling and skills are deeply built around AWS, that gravity is real and worth weighing honestly.
Data & analytics. BigQuery's serverless, separated storage/compute model is a benchmark for analytics at scale, often simpler and cheaper to operate than the equivalent.
AI & ML. Vertex AI and Gemini put Google's AI research directly in your stack, grounded on your own data.
Kubernetes & open source. Kubernetes originated at Google; GKE and Autopilot lead managed Kubernetes, with a strong open-standards lean that reduces lock-in.
Price-performance & automatic discounts. Sustained-use discounts apply automatically and committed-use discounts go further, frequently lowering TCO versus equivalent AWS setups.
Network. Google's private global backbone underpins low-latency inter-region traffic.
Both clouds price compute, storage, data egress and managed services per use. The structural difference most teams feel is discounting: AWS savings generally require committing to Savings Plans or Reserved Instances, whereas Google Cloud applies sustained-use discounts automatically and layers committed-use discounts on top. For steady-state and bursty workloads alike, that often yields lower effective rates without upfront lock-in, and BigQuery's serverless model can cut data-platform TCO further. The honest caveat is that it is workload-dependent, model your real usage.
Moving is straightforward with the right partner. A Google Cloud Partner migrates EC2 to Compute Engine, S3 to Cloud Storage, Redshift to BigQuery and your networking and IAM, with a phased, low-risk cutover. See the full path on our AWS to Google Cloud migration page.
FAQs
For data, AI, Kubernetes and price-performance, yes. AWS leads on raw service breadth, maturity and market share.
Often, thanks to automatic sustained-use and committed-use discounts and BigQuery's serverless model, but it's workload-dependent.
Yes, EC2, S3, Redshift, networking and IAM migrate via a Google Cloud Partner with a phased, low-risk cutover.
AWS has the broader catalog; Google Cloud is narrower but very strong on data, AI, Kubernetes and networking.
Decided on Google Cloud? See how the AWS to Google Cloud migration works →
Codimite, a Google Cloud Partner, migrates your AWS compute, storage, data and networking to Google Cloud with a phased, low-risk plan and post-migration FinOps. Start with a free quote.
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