Multi-Cloud Cost Comparison Calculator

Compare AWS, Google Cloud, and Azure costs side by side for compute, storage, and transfer. Make informed multi-cloud decisions with clear pricing data.

AWS

$
$
$
$

Google Cloud

$
$
$
$

Azure

$
$
$
$
AWS Total
$700.00
$8,400.00/year
GCP Total
$655.00
$7,860.00/year
Azure Total
$680.00
$8,160.00/year
Cheapest Provider
GCP
Max Savings
$45.00
6.4% less than most expensive
Planning notes, formulas, and examples

About the Multi-Cloud Cost Comparison Calculator

Choosing between AWS, Google Cloud, and Azure โ€” or running workloads across multiple providers โ€” requires an apples-to-apples cost comparison. Each provider uses different pricing structures, instance naming conventions, and discount models, making direct comparison challenging without standardization.

This calculator lets you enter equivalent resource specifications for each provider and compare total monthly costs side by side. Input your compute hours, storage volumes, and data transfer for each cloud, and see exactly where each provider is cheaper or more expensive.

Whether you're evaluating a single-provider commitment, planning a multi-cloud strategy for resilience, or considering a cloud migration between providers, this calculator gives you the financial clarity to make the right decision.

When This Page Helps

Multi-cloud strategies can reduce vendor lock-in and improve resilience, but they also add complexity and potentially higher costs if not planned carefully. This calculator helps you quantify the cost differences between providers for your specific workload, ensuring you place each service where it's most cost-effective rather than defaulting to a single vendor.

How to Use the Inputs

  1. Enter your monthly compute cost for each cloud provider (AWS, GCP, Azure).
  2. Enter your monthly storage cost for each provider.
  3. Enter your monthly data transfer/egress cost for each provider.
  4. Optionally add any additional services or support costs.
  5. Review the side-by-side comparison and total cost per provider.
  6. Identify which provider is cheapest overall and per component.
Formula used
Provider Total = compute_cost + storage_cost + transfer_cost + additional_cost Savings vs Most Expensive = max(totals) โˆ’ min(totals) Savings % = Savings / max(totals) ร— 100

Example Calculation

Result: GCP: $655/mo | Azure: $680/mo | AWS: $700/mo

GCP is the cheapest at $655/month total, followed by Azure at $680 and AWS at $700. GCP saves $45/month (6.4%) compared to AWS. However, Azure has the lowest transfer cost, suggesting a potential hybrid approach.

Tips & Best Practices

  • Compare equivalent instance types: AWS m5.xlarge โ‰ˆ GCP n2-standard-4 โ‰ˆ Azure D4s_v5.
  • Factor in committed-use discounts โ€” each provider offers different savings programs.
  • GCP offers sustained-use discounts automatically; AWS and Azure require upfront commitments.
  • Data egress costs vary significantly between providers and can tip the overall comparison.
  • Consider free-tier offerings when evaluating for development or small-scale workloads.
  • Include support plan costs โ€” enterprise support pricing varies widely.

Key Pricing Differences Between Cloud Providers

AWS charges per-second with a 60-second minimum for most compute services. GCP bills per-second with a 1-minute minimum and offers automatic sustained-use discounts of up to 30%. Azure bills per-minute and offers hybrid benefit discounts for existing Windows Server and SQL Server licenses. These structural differences mean the cheapest provider varies by workload pattern.

Multi-Cloud Architecture Considerations

Beyond cost, consider data residency requirements, service availability, and team expertise. Running Kubernetes across clouds with tools like Anthos or Azure Arc can standardize operations. Use each cloud's strengths: AWS for breadth of services, GCP for data analytics and ML, Azure for enterprise integration.

Negotiating Enterprise Discounts

All three providers offer significant enterprise discount programs (EDPs) for committed spend. AWS offers Private Pricing Agreements, GCP has Committed Use Discounts and negotiated contracts, and Azure offers Enterprise Agreements. Committing spend across a 1โ€“3 year term can reduce costs by 20โ€“40% beyond public pricing.

Sources & Methodology

Last updated:

Frequently Asked Questions

  • It depends entirely on your workload. GCP often wins for compute-heavy workloads due to sustained-use and committed-use discounts. AWS has the broadest service catalog. Azure offers advantages for Windows and .NET workloads with hybrid benefit discounts.