AWS and Azure are the two largest public clouds and for most US buyers, the choice is less about which is "better" and more about which fits the workload, the identity stack and the cost model the team can govern.

AWS leads in market share and breadth of services. Azure leads inside Microsoft-heavy estates and on hybrid integration with Active Directory.

Headline on-demand prices land within a few percent of each other on equivalent SKUs. The real cost gap shows up in commitment discounts, egress and observability charges.

This guide gives you the service map, a worked invoice example and the cost levers that decide which bill is bigger. If you already run both, unified cost reporting is where the Amnic FinOps platform matters more than the vendor pick.

AWS vs Azure in one screen

AWS holds the largest share of the public cloud market; Azure is the closest challenger and grows faster inside enterprise accounts. The two providers run on different global footprints, price models and default discount mechanisms, but they overlap on roughly 90% of mainstream services.

Market share and footprint

Synergy Research's latest cloud infrastructure tracker puts AWS at 28% share and Azure at 21%, with Google Cloud third at 14% (source: Synergy Research Group).

AWS publishes more than 39 launched regions and over 110 Availability Zones on its Global Infrastructure page. Microsoft lists more than 70 Azure regions across its Geographies page, with each region backed by one or more datacenters.

What the footprint actually means

Both clouds can host any mainstream workload in a US region with low latency. The decision shifts to services, pricing models and how well your team can attribute spend.

For most teams the cost framework matters more than the brand, which is the lens used throughout Amnic's cloud cost management guide.

The AWS to Azure service map you actually use

The fastest way to compare AWS and Azure is a one-to-one service map across compute, storage, networking, identity and observability. Microsoft publishes an official AWS-to-Azure mapping that engineering teams treat as a reference (source: Azure for AWS Professionals, Microsoft Learn).

The short version is below:

For deeper Kubernetes parity and cluster cost behavior, see Kubernetes cost management page.

Pricing models and where the money actually leaks

AWS and Azure publish similar on-demand list prices, but the discount mechanisms differ in portability, lock-in and how easily a FinOps team can govern them. Both clouds offer pay-as-you-go, spot or low-priority and commitment-based discounts. The difference is structural.

AWS commitment discounts

AWS offers EC2 Reserved Instances, EC2 Instance Savings Plans and Compute Savings Plans. Compute Savings Plans apply across EC2, Fargate and Lambda regardless of instance family, which is the most portable instrument either cloud sells.

Azure commitment discounts

Azure offers Reservations that lock to a specific VM family and region. Azure also sells a Savings Plan for Compute that commits to an hourly dollar amount and flexes across regions and families.

Enterprise discount programs

Both providers run negotiated enterprise programs (AWS EDP, Microsoft MACC) on top of standard commitments. These can shift the effective rate by another 10 to 25 percent depending on annual spend.

For a side-by-side on each program, see AWS Savings Plans vs Reserved Instances. The decision rule is portability: stable workloads pay back fastest on Reservations and Reserved Instances, while shifting workloads absorb better on Savings Plans.

A worked example: identical workload on both clouds

The cleanest way to compare AWS and Azure is a single invoice on a workload that runs the same on both. Take a small production stack: one general purpose VM running 730 hours per month, one managed Postgres node, 10 TB of object storage, 5 TB of monthly egress to the internet and one NAT gateway.

Reading the result

Numbers pulled from the AWS pricing pages and Azure pricing pages for the listed SKUs and US regions.

The headline gap is roughly 6% in Azure's favor on this exact workload, driven mostly by storage list price.

The real swing across full bills comes from commitment coverage, egress patterns and whether the team rightsizes the NAT and the database. That last category is what an effective savings rate measures.

Hidden costs both clouds charge for

Most AWS vs Azure cost gaps come from line items that do not appear in the per-VM price comparison. Engineering teams routinely underbudget five categories: data egress, NAT gateways, cross-AZ traffic, log ingestion and idle attached resources.

Egress and cross-AZ traffic

AWS charges $0.09 per GB for the first 10 TB of internet egress per month and $0.01 per GB for cross-AZ traffic inside a region. Azure charges $0.087 per GB on default routing for the first 10 TB and $0.01 per GB inter-AZ.

NAT gateway pricing is the same headline rate on both clouds, but cross-AZ NAT layouts double the bill silently.

Log ingestion gap

CloudWatch Logs ingestion is $0.50 per GB on AWS. Azure Log Analytics is $2.30 per GB on the pay-as-you-go tier after the first 5 GB free (source: AWS CloudWatch pricing, Azure Monitor pricing).

That is a 4.6x list-price gap on logs, which compounds quickly for teams running verbose application telemetry.

Where to start

The starting point for surfacing these line items is a clean cost attribution model, covered on Amnic's cost attribution page.

For a deeper read on data movement charges, see Ingress vs Egress.

Compute, storage and the chip question

Both clouds now offer in-house ARM processors that change the price per vCPU significantly when workloads can recompile. AWS Graviton (currently Graviton4 in production) and Azure Cobalt 100 both target general purpose and memory workloads that tolerate ARM.

ARM price-performance

AWS publishes up to 40% better price-performance on Graviton for many open source databases and Java services (source: AWS Graviton).

Azure's Cobalt 100 series is positioned similarly inside Microsoft's first-party services and is rolling out to customer VMs.

x86 options

On x86, AWS offers Intel and AMD options across EC2 generations. Azure offers the same chip lineage under D, E and F families.

The cost-relevant question is not which chip is faster but which family the application supports without retesting.

For a fuller per-SKU breakdown of EC2, see Everything about AWS EC2 pricing and for the Azure side, Azure Virtual Machine pricing models.

Security, identity and compliance posture

AWS and Azure both meet the major US compliance standards, so the differentiator is which identity stack you already run. Both clouds carry SOC 1, SOC 2, SOC 3, PCI DSS, HIPAA, FedRAMP High and ISO 27001 attestations on their primary US regions.

See each provider's compliance pages for the full list (AWS Compliance Programs, Microsoft Trust Center).

Identity model differences

AWS uses IAM for users, roles and policies. Azure uses Microsoft Entra ID for identity and Azure RBAC for resource permissions.

Entra ID is the same directory most enterprises already use for Microsoft 365, which is the single biggest enterprise-side reason Azure wins inside large Microsoft accounts.

Policy granularity

AWS wins on policy granularity, ABAC support and the number of services that respect tag-based conditions.

The vendor lock-in trade-off is real and worth a separate read: Vendor lock-in.

Multi-cloud is the actual default

Most US enterprises run both AWS and Azure and the harder problem is cost reporting across the two, not picking one. Flexera's latest State of the Cloud report finds organizations use an average of 2.4 public clouds.

84% of respondents cite managing cloud spend as their top challenge (source: Flexera State of the Cloud report).

FOCUS as the common schema

The FinOps Foundation's FOCUS specification is the standard that normalizes billing data across providers. Both AWS Cost and Usage Reports (CUR 2.0) and Azure Cost Management exports now support FOCUS-formatted output (source: FinOps Foundation FOCUS).

For background, see Amnic's FOCUS guide and the guide to multi-cloud cost reporting tools.

What sits on top of FOCUS

The downstream choice is which platform reads the FOCUS data and turns it into actionable attribution. That is a separate evaluation from the AWS vs Azure pick.

Amnic's AI agents read FOCUS-formatted data and produce cost insights across both clouds.

When AWS wins and when Azure wins

AWS wins on service breadth, startup pricing programs and AI infrastructure flexibility; Azure wins on Microsoft-stack integration, enterprise discount depth and hybrid scenarios.

Pick AWS when

• The workload uses open source databases (Postgres, MySQL, Kafka, Redis)

• The team wants the widest set of managed services

• Graviton ARM savings apply to the runtime

• Bedrock's multi-model catalog matches the AI roadmap

Pick Azure when

• The company already pays for Microsoft 365 and Entra ID

• SQL Server or Active Directory is core to the stack

• The workload needs first-party OpenAI access through Azure OpenAI Service

• A hybrid datacenter to cloud setup needs Azure Arc or Azure Local

Startup credits

Both providers offer programs in the six-figure range for early-stage companies, with terms changing frequently. The discount mechanisms are summarized in AWS, Azure and GCP discounts.

The honest answer for most US buyers is that workloads end up split, not consolidated.

How a FinOps practice changes the AWS vs Azure question

Once both clouds are in use, the FinOps practice that reads CUR 2.0 and Cost Management exports decides how much of the bill is actually optimized.

What gets recovered

A buyer's framework that picks "the cheaper cloud" on list price misses where money is recovered. Rightsizing, commitment coverage, idle resource cleanup, attribution to product lines and anomaly detection on top of the daily billing feed each move the bill more than the vendor pick.

The practice is the same on both clouds. The data shape is different.

One layer for both clouds

The Amnic platform pulls AWS CUR 2.0, Azure billing exports, GCP BigQuery exports and Kubernetes telemetry into a single attribution layer aligned to FOCUS.

Teams that need an opinionated tool short list can start by mapping their stack against cost control and utilization workflows.

Tools further down the evaluation list include Amnic, CloudHealth, Apptio Cloudability and CloudZero, each with different strengths on enterprise scale and Kubernetes depth.

Frequently asked questions

Is Azure cheaper than AWS?

Headline on-demand prices are within a few percent on equivalent SKUs. The real cost difference is driven by commitment coverage, egress and the discount programs your team can govern. The cheaper cloud is the one where the FinOps practice is mature.

What is the equivalent of S3 in Azure?

Azure Blob Storage. Hot, Cool, Cold and Archive tiers map to S3 Standard, Standard-IA, One Zone-IA and Glacier Deep Archive at the conceptual level, with different retrieval pricing and minimum storage durations.

Can you use AWS and Azure together?

Yes. Most US enterprises do. The harder problem is unified cost reporting and identity federation, both of which are easier with FOCUS-formatted billing exports.

Which has more services?

AWS publishes a larger catalog of managed services, currently more than 240. Azure publishes a similar number of services if you count Microsoft 365 and Dynamics adjacents.

Which is better for AI workloads?

AWS offers Bedrock with multiple foundation model vendors and Trainium silicon. Azure offers first-party OpenAI access. Pick by which model family the team has committed to.

Which is better for startups?

Either, depending on which credits program is open at the time of incorporation. Both providers offer six-figure credit pools and waive most early-stage support fees.

Does AWS or Azure have lower egress fees?

Azure list price is about 3 percent lower on default routing for the first 10 TB. Both providers also publish free-egress-for-migration programs when a customer is fully exiting the cloud, with specific eligibility rules on each pricing page.

Which cloud is growing faster?

Azure has reported higher growth percentages in recent quarters. AWS still adds more absolute revenue per quarter, which is the metric that matters for ecosystem scale.

What to do next

If the question is which cloud to start with, pick the one your identity stack already favors and govern cost from the start. If the question is how to control spending across both, the FinOps tooling decision matters more than the vendor pick.

Map a 30-day plan against the Amnic Finops platform for unified AWS and Azure visibility, or start narrower with the multi-cloud cost management playbook.