AWS vs Azure vs Google Cloud: 2026 Pricing Comparison Guide

Cloud & Enterprise IT Estimated Read Time: 9 minutes

Choosing a cloud provider on sticker price alone is one of the most common budgeting mistakes enterprise IT teams make. AWS, Azure, and Google Cloud publish on-demand rates that look nearly identical at a glance — but the real monthly bill is shaped by storage class, committed-use discounts, database licensing, and egress fees that rarely show up in a first pass comparison.

This guide breaks down 2026 pricing across compute, storage, managed databases, and Kubernetes, plus the hidden costs that catch most teams off guard.

A note before the numbers: cloud pricing changes frequently and varies by region, instance family, and negotiated enterprise agreements. The figures below are drawn from current third-party pricing analyses and are meant to show relative differences between providers — always confirm exact rates against each provider's official pricing calculator before budgeting.

Compute Pricing: Closer Than You'd Think

For a standard general-purpose instance (4 vCPU, 16 GB RAM, Linux, US region), on-demand pricing across AWS, Azure, and Google Cloud sits close together — recent analyses put all three around roughly $0.19/hour for an equivalent instance. Google Cloud tends to come out modestly cheaper on raw compute in several comparisons, with estimates in the 10-15% range below AWS and Azure for comparable workloads.

Where the real compute savings show up is in commitment programs:

Discount Type	AWS	Azure	Google Cloud
Reserved/Committed pricing	Reserved Instances (1-3yr)	Reserved VM Instances	Committed Use Discounts, up to ~55% on 3-yr terms
Interruptible capacity	Spot Instances, up to ~90% off	Spot VMs	Preemptible VMs
Automatic usage discounts	Not automatic	Not automatic	Historically offered Sustained Use Discounts (largely folded into CUDs for newer instance families)

Google Cloud's ability to right-size instances with Custom Machine Types is a differentiator worth noting — it lets you specify exact vCPU and memory rather than being locked into AWS and Azure's fixed instance sizes, which can reduce over-provisioning waste.

Storage Pricing Comparison

Standard object storage (think S3, Blob Storage, Cloud Storage) is where providers start to diverge more meaningfully:

Provider	Standard Object Storage (approx. per GB/month)
AWS S3 Standard	~$0.023
Azure Blob Storage (Hot tier)	~$0.018–0.02 (frequently the most competitive of the three)
Google Cloud Standard Storage	~$0.02–0.021

At small scale this difference looks trivial. At 100 TB, even a modest per-GB gap compounds into thousands of dollars a year — one 2026 analysis calculated a roughly $5,000/year difference at that scale purely from base storage rate differences between two providers.

Archive/cold storage tiers roughly match between AWS and Azure, while Google Cloud's archive tier has been reported as running somewhat higher in several comparisons.

Managed Database Pricing

For a comparable managed PostgreSQL instance (4 vCPU, 16 GB RAM, 100 GB storage), recent pricing analyses show:

Provider	Approx. Monthly Cost
AWS RDS	~$186.50
Azure Database for PostgreSQL	~$179.50
Google Cloud SQL	~$173.00

Google Cloud has tended to edge out the other two on compute-intensive managed database pricing in multiple third-party comparisons, though the gap is narrow enough that workload-specific testing matters more than the headline number.

Managed Kubernetes Pricing

Control plane pricing is one of the more clear-cut differences between providers:

Provider	Control Plane Cost
AWS EKS	~$72/month per cluster
Azure AKS	Free control plane — pay only for worker nodes
Google Cloud GKE	~$72/month per cluster (Autopilot mode has separate pricing)

For teams running many small clusters, Azure's free control plane can add up to meaningful savings versus AWS or GCP.

The Hidden Costs Nobody Budgets For

This is where cloud bills usually blow past estimates:

• NAT Gateway / Cloud NAT — hourly charge plus per-GB processing fees on all three providers

• Load balancers — monthly base fee plus data processing charges

• Egress (data transfer out) — AWS and Azure both charge in the neighborhood of $0.08–0.09/GB for the first tier of internet-bound traffic; this is frequently the single most underestimated line item in a cloud budget

• Logging and monitoring — CloudWatch, Azure Log Analytics, and Cloud Logging all charge per GB ingested, and verbose logging at scale adds up fast

• VPC/VNet peering and endpoints — small per-hour or per-GB charges that are easy to overlook during initial architecture planning

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Illustrative Total Cost Example

For a mid-sized enterprise workload (roughly 50 compute instances, 10 TB storage, a 500 GB database, and 20 TB monthly egress), one 2026 cost analysis modeled the following approximate monthly totals:

Provider	Estimated Monthly Total
AWS	~$13,840
Azure	~$12,950
Google Cloud	~$11,890

Treat this as directional, not a quote — your actual workload profile, region, discount eligibility, and negotiated enterprise agreement will move these numbers significantly in either direction.

Which Provider Wins for What?

• Google Cloud — generally comes out ahead for sustained, predictable compute workloads (automatic and committed-use discounts), compute-intensive managed databases, and teams running a single well-optimized Kubernetes cluster.

• Azure — strongest for organizations already invested in the Microsoft ecosystem (licensing discounts via existing agreements), and for teams running many small Kubernetes clusters thanks to the free AKS control plane.

• AWS — offers the broadest range of purchasing flexibility and instance/discount options, which suits large, complex, multi-workload environments willing to invest time in cost optimization.

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Frequently Asked Questions

Which cloud provider is cheapest overall in 2026? There's no single cheapest provider — Google Cloud tends to edge ahead on raw compute and sustained workloads, Azure is often most competitive on standard object storage, and AWS's flexibility can produce the lowest cost for teams that actively manage reserved and spot capacity. Total cost depends heavily on your specific workload.

Why is my cloud bill higher than the pricing calculator estimated? Pricing calculators typically show compute and storage in isolation. Real bills are usually driven up by egress fees, NAT gateway charges, load balancer processing costs, and logging/monitoring ingestion — costs that only become visible once a workload is actually running in production.

Do committed-use or reserved instance discounts really save money? Yes, but the discount percentage alone doesn't determine actual savings — what matters is whether your usage stays consistent enough to fully utilize the commitment. Over-committing to capacity you don't use can erase the savings entirely.

Is Azure cheaper if my company already uses Microsoft products? Often yes. Organizations with existing Microsoft licensing agreements can access additional discounts on Azure that aren't available to net-new customers, which shifts the effective price comparison in Azure's favor for Microsoft-centric enterprises.

The Bottom Line

AWS, Azure, and Google Cloud are close enough on headline compute pricing that the decision shouldn't be made on that number alone. The providers actually differentiate on storage tiering, database pricing, Kubernetes control plane costs, and — most importantly — the hidden fees (egress, NAT, logging) that only show up once you're running real production workloads. Before committing to a provider, model your actual workload (not a generic instance) across all three official pricing calculators, and factor in your team's existing cloud/licensing ecosystem.