Which is cheaper — AWS or Azure?

Neither is uniformly cheaper. Pricing depends heavily on workload type, region, commitment level, and usage patterns. For compute, both are competitive. For Microsoft workloads on Azure (SQL Server with existing licenses), Azure is often significantly cheaper via Hybrid Benefit. For ML workloads, AWS pricing can be more favorable. Always model costs against your specific workload before committing.

How long does cloud migration take?

Cloud migration timelines range from 4 weeks (a single workload lift-and-shift) to 2+ years (full enterprise migration with modernization). A meaningful pilot workload typically takes 4–8 weeks to assess, plan, and migrate. See our cloud migration cost guide for a full timeline breakdown by workload type.

Should we migrate everything at once or in phases?

Phased migration is almost always the right approach. Identify quick wins (non-critical workloads with minimal dependencies), migrate those first, learn, then tackle the complex systems. Attempting to migrate everything simultaneously is high-risk and usually over-budget.

Cloud Strategy

AWS vs Azure for Enterprise: A Technical and Commercial Comparison

AWS has the largest service catalog. Azure has the deepest Microsoft ecosystem integration. Neither is universally better — the right choice depends on your existing stack, compliance requirements, and team expertise.

Halkwinds Verdict—Azure wins in Microsoft-heavy enterprises (.NET, Office 365, Active Directory). AWS wins in greenfield builds, diverse tech stacks, and best-in-class managed services.

Option A

AWS

The most mature cloud platform — widest service catalog, deepest managed services.

Typical Cost

Pay-as-you-go + savings plans + reserved instances

Timeline

Depends on migration scope

Pros

Largest and most mature service catalog (200+ services)

Best-in-class managed services: Aurora, SageMaker, DynamoDB, EventBridge

Strongest SLA guarantees and largest global infrastructure footprint

Richest machine learning and AI tooling ecosystem

Largest talent pool and community for every service

Cons

Pricing complexity — cost optimization requires dedicated expertise

Weaker native Microsoft integration (vs Azure for Active Directory, Office)

Console and CLI have steeper learning curves for enterprise IT teams

Option B

Azure

Microsoft's cloud — deepest integration with the enterprise Microsoft ecosystem.

Typical Cost

Pay-as-you-go + enterprise agreements

Timeline

Depends on migration scope

Pros

Native Active Directory integration — seamless for Microsoft shops

Best-in-class for .NET, SQL Server, and Windows workloads

Azure OpenAI Service — enterprise access to GPT-4 with compliance controls

Strong hybrid cloud story (Azure Arc, Azure Stack) for on-prem integration

Microsoft enterprise agreements often bundle Azure credits

Cons

Fewer services than AWS in several categories (data streaming, containers)

Service quality inconsistency across newer vs mature offerings

Migration complexity from AWS or GCP is significant

Side-by-Side

Detailed Comparison

Dimension	AWS	Azure	Winner
Service breadth	Largest catalog (200+)	Broad but fewer services	AWS
Microsoft integration	Third-party connectors	Native AD, Office, Teams	Azure
AI / ML services	SageMaker + Bedrock (best-in-class)	Azure ML + OpenAI Service	Tie
Managed database	Aurora, DynamoDB, RDS	Azure SQL, Cosmos DB	AWS
Compliance certs	Most certifications globally	Strong EU & govt certifications	AWS
.NET / Windows	Supported but not native	Native, optimized	Azure
Hybrid cloud	Outposts (limited)	Azure Arc (strong)	Azure
Talent availability	Largest pool globally	Strong in enterprise IT	AWS
Pricing clarity	Complex (strong FinOps tools)	Complex (EA bundles help)	Tie

Decision Framework

When to Choose Each Option

Choose AWS when...

You're building cloud-native on a diverse or open-source stack (Python, Node, Go, containers)
You need best-in-class managed services for databases, streaming, or ML
Your compliance requirements need the widest range of certifications (HIPAA, PCI, FedRAMP)
You're building or scaling an AI/ML platform
Your team's cloud expertise is AWS-based

Choose Azure when...

Your enterprise runs on Microsoft (Active Directory, Office 365, SQL Server, .NET)
You want enterprise OpenAI access with data residency guarantees
You have significant on-premises infrastructure requiring hybrid cloud integration
Your enterprise agreement already includes Azure credits
EU data residency is a non-negotiable compliance requirement

Not sure which is right for your project?

We design multi-cloud and cloud-native architectures on both platforms. We'll recommend the right fit based on your workload, compliance posture, and existing investments.

Related Resources

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Industries We Serve

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Insights & Resources

Common Questions

Frequently Asked Questions

Yes — multi-cloud is increasingly common for enterprises with diverse workloads. A typical pattern: Azure for Microsoft-native workloads (identity, Office integrations) and AWS for cloud-native services (ML, streaming, containers). The complexity is in governance, cost management, and team expertise. We design multi-cloud architectures when the workload warrants it.

Work With Halkwinds

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A 30-minute scoping call is enough to recommend the right approach for your specific context, budget, and timeline.

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