AWS vs Google Cloud: Which Account Should You Buy?
Both AWS and Google Cloud are world-class platforms, but they excel at different things. AWS dominates raw compute and enterprise adoption; Google Cloud leads in AI/ML and data analytics. Here's how their accounts compare on Cloudrix.
Head-to-Head Comparison
| Feature | AWS | GCP |
|---|---|---|
| Starting Price | ✓$15/account | $45/account |
| Max Credit Available | ✓$100,000 | $25,000 |
| Delivery Time | 2–8 hours | 30min–12 hours |
| AI / ML Workloads | SageMaker, Bedrock | ✓Vertex AI, TPUs |
| Data Analytics | EMR, Redshift, Athena | ✓BigQuery (best in class) |
| Compute Options | ✓EC2: 8–512 vCPU tiers | Compute Engine, GKE |
| Free Services | 12-month free tier | $300 free credit |
| Global Regions | 30+ regions | ✓35+ regions |
| Ecosystem | ✓Largest, most services | Strong AI ecosystem |
Our Verdict
AWS is best for: enterprise workloads, largest service catalog, vCPU compute, startup credits, and when you need the most widely-supported cloud platform.
View AWS Accounts →Google Cloud is best for: AI/ML training with Vertex AI and TPUs, BigQuery data analytics, GKE Kubernetes, and data engineering pipelines.
View GCP Accounts →Amazon Web Services vs Google Cloud: A Closer Look
Pricing and credit value
On raw compute, Google Cloud typically runs 10–20% cheaper than AWS for equivalent instances, and its per-second billing rewards bursty workloads. AWS counters with the deepest credit tiers in the market — up to $100,000 on a single Cloudrix account — which is unmatched by GCP's $25,000 ceiling.
If your goal is maximum usable credit per dollar, AWS wins on sheer volume. If your goal is the lowest sticker price for steady compute and analytics, Google Cloud edges ahead. Many teams buy both: an AWS credit account for general infrastructure and a GCP account for data and AI.
AI, data, and the developer experience
Google Cloud is the clear leader for machine learning and analytics. Vertex AI offers managed training and serving with native TPU access, and BigQuery remains the fastest serverless data warehouse available — query petabytes in seconds with zero infrastructure. AWS answers with SageMaker and Bedrock (Claude, Llama), plus the broadest catalog of supporting services.
For breadth, community size, and third-party tooling, AWS is still the safe default. For a cleaner, more opinionated platform centred on data and ML, Google Cloud is the better fit. Both accounts on Cloudrix are verified, full-access, and delivered within hours.
Top AWS Accounts
AWS Free Trial
- US/UK/CA Region
- 7 Days Replacement
- 2–8 Hour Delivery
AWS 8 vCPU
- Old/New Condition
- Worldwide Working
- 24/7 Support
AWS 32 vCPU
- US/UK/CA Region
- 7 Days Replacement
- 2–8 Hour Delivery
Top GCP Accounts
Google Cloud $300 Credit
- Full GCP Access
- 7 Days Replacement
- 30min–12hr Delivery
Google Cloud $400 Credit
- All Services Access
- Worldwide Working
- 24/7 Support
Google Cloud 1K Credit
- Compute/Storage/AI
- 7 Days Replacement
- 30min–12hr Delivery
FAQs
Is AWS or Google Cloud cheaper?
Google Cloud is generally 10-20% cheaper than AWS for equivalent compute. However, AWS offers more credit tiers (up to $100K) vs GCP ($25K max on Cloudrix).
Which is better for machine learning?
Google Cloud wins for ML with Vertex AI, TensorFlow integration, and TPU access. AWS SageMaker is competitive but GCP's ML ecosystem is more mature.
Which has better free credits?
AWS offers more credit tiers up to $100K. GCP offers up to $25K. Both have free trials. AWS is better for pure credit volume; GCP is better for AI-specific workloads.
Can I use both AWS and GCP?
Yes. Many teams run a multi-cloud setup — using AWS for primary workloads and GCP for AI/ML and analytics. Cloudrix offers accounts for both.