Compare AWS, Google Cloud, and Azure costs side by side for compute, storage, and transfer. Make informed multi-cloud decisions with clear pricing data.
Choosing between AWS, Google Cloud, and Azure — or running workloads across multiple providers — 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 tool gives you the financial clarity to make the right decision.
By calculating this metric accurately, DevOps and engineering professionals gain actionable insights that drive system reliability, scalability, and operational excellence across environments. Understanding this metric in precise terms allows technology leaders to make evidence-based decisions about scaling, architecture, and infrastructure investment priorities for their organizations.
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.
Provider Total = compute_cost + storage_cost + transfer_cost + additional_cost Savings vs Most Expensive = max(totals) − min(totals) Savings % = Savings / max(totals) × 100
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.
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.
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.
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 1–3 year term can reduce costs by 20–40% beyond public pricing.
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.
Match by vCPU count and memory. For example, 4 vCPU / 16 GB RAM is: AWS m5.xlarge, GCP n2-standard-4, Azure D4s_v5. Performance may vary due to different CPU generations, so benchmark if performance-sensitive.
Usually yes, due to inter-cloud data transfer costs, operational complexity, and inability to fully leverage volume discounts. Multi-cloud makes sense when regulatory requirements, vendor risk mitigation, or best-of-breed services justify the premium.
Yes. Enterprise support ranges from 3–10% of monthly spend depending on the provider and tier. AWS Business Support starts at $100/month or 10% of spend. Azure and GCP have similar tiers with different pricing.
Cloud providers adjust prices several times per year. AWS has reduced prices over 100 times since launch. Major price changes are typically announced at annual conferences. Check each provider's pricing page for current rates.
Common hidden costs include data transfer between services, cross-region replication, logging and monitoring, IP address charges, and API call fees. These can add 15–25% to your base compute and storage estimate.