Choosing a cloud provider is one of the most consequential infrastructure decisions a startup makes — and one of the hardest to reverse. The difference in pricing between providers on the same workload can be 30 to 50 percent, which at $20,000/month in cloud spend means $72,000 to $120,000 per year.
This guide cuts through the marketing and compares real on-demand pricing across the three major providers for the workloads startups actually run: compute, managed databases, object storage, and networking.
Compute: Virtual Machines
Compute is typically the largest cost driver for startups. Here's how the three providers compare on equivalent general-purpose instance types (4 vCPU, 16 GB RAM, us-east region, Linux, on-demand):
| Provider | Instance Type | On-Demand / hr | On-Demand / mo | 1-Year Reserved / mo |
|---|---|---|---|---|
| AWS | m6i.xlarge | $0.192 | ~$140 | ~$91 |
| GCP | n2-standard-4 | $0.194 | ~$141 | ~$79 (CUD) |
| Azure | D4s v5 | $0.192 | ~$140 | ~$93 |
Verdict on compute: On-demand pricing is nearly identical across all three. GCP wins on committed pricing — their Committed Use Discounts (CUDs) are applied automatically without the complexity of reserved instance management.
GCP advantage: GCP applies sustained use discounts automatically — up to 30% off — just for running instances for most of the month with no upfront commitment required. AWS and Azure require explicit reservations to get equivalent discounts.
Managed Databases
Managed databases are often the second-largest cost for startups. Comparing equivalent PostgreSQL-compatible managed database instances (4 vCPU, 16 GB RAM, 100 GB storage, single AZ):
| Provider | Service | On-Demand / mo |
|---|---|---|
| AWS | RDS for PostgreSQL (db.m6g.xlarge) | ~$220 |
| GCP | Cloud SQL for PostgreSQL (db-n1-standard-4) | ~$190 |
| Azure | Azure Database for PostgreSQL (D4s v3) | ~$175 |
Verdict on databases: Azure is typically cheapest for managed PostgreSQL. GCP Cloud SQL is competitive, and AWS RDS is the most expensive but also the most feature-rich with the largest ecosystem of tooling and integrations.
Object Storage
Object storage pricing has three components: storage cost per GB, request costs, and egress (data transfer out). Most startups underestimate egress — it's often the biggest surprise on the bill.
| Provider | Service | Storage / GB / mo | Egress / GB |
|---|---|---|---|
| AWS | S3 Standard | $0.023 | $0.09 |
| GCP | Cloud Storage Standard | $0.020 | $0.08 |
| Azure | Blob Storage (Hot) | $0.018 | $0.087 |
Verdict on storage: All three are close on raw storage. The real cost difference is egress. If you're serving a lot of data to users, egress costs can 10x your storage bill. Consider a CDN in front of your storage regardless of provider — it dramatically reduces egress charges.
Free Tiers and Startup Credits
For early-stage startups, free tiers and credit programs can make provider selection straightforward — use whichever gives you the most runway.
AWS Activate
Up to $100,000 in credits for startups through accelerators and VCs. AWS also has a 12-month free tier covering a t2.micro instance, 5 GB of S3, and 750 hours of RDS per month.
Google for Startups
Up to $200,000 in credits over two years for eligible startups. GCP's free tier includes a f1-micro instance, 5 GB of Cloud Storage, and 1 GB of egress per month — permanently, not just for 12 months.
Microsoft for Startups (Founders Hub)
Up to $150,000 in Azure credits. Also includes GitHub Enterprise, Microsoft 365, and other developer tools. Best option if your team is already invested in the Microsoft ecosystem.
Recommendation: If you qualify for startup credits, apply to all three programs — you don't have to choose one provider to get credits. Use credits to delay your real infrastructure decision until you have real traffic to inform it.
The Real Differentiators Beyond Price
Raw pricing is close enough between the three that other factors often matter more for startups:
- Ecosystem and tooling: AWS has the largest ecosystem by far — more third-party integrations, more Stack Overflow answers, more engineers with AWS experience.
- ML and AI workloads: GCP leads here with TPUs, Vertex AI, and deep integration with Google's AI research. If you're building AI-native products, GCP is worth serious consideration.
- Enterprise sales: If your customers are large enterprises, many have Azure commitments from Microsoft contracts. Being on Azure can reduce friction in enterprise sales.
- Simplicity: GCP's pricing model (sustained use discounts applied automatically, per-second billing) is generally simpler to understand and predict than AWS's complex reserved instance marketplace.
The Verdict for Startups in 2026
Choose AWS if...
You want the largest ecosystem, your team has AWS experience, or you're integrating with enterprise customers who are already on AWS. AWS is the safest default and the hardest to go wrong with.
Choose GCP if...
You're building AI or ML features, want simpler pricing with automatic discounts, or have access to Google for Startups credits. GCP's committed pricing is genuinely better than AWS's on compute-heavy workloads.
Choose Azure if...
Your team is Microsoft-centric (C#, .NET, Active Directory), you're targeting enterprise customers with Microsoft contracts, or you have significant Azure credits from Founders Hub.
Whichever provider you choose, the cost optimization principles are the same: eliminate idle resources, right-size instances, use commitment-based pricing for stable workloads, and keep visibility into every dollar you spend. The provider you're on matters less than how efficiently you run on it.
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