Choosing a primary cloud platform is one of the most consequential infrastructure decisions a healthcare organisation can make. Both Amazon Web Services (AWS) and Microsoft Azure are mature, capable platforms with specific healthcare service offerings, HIPAA BAA coverage, and strong compliance portfolios. But they have meaningfully different strengths, service models, and ecosystem characteristics. The right choice for your organisation depends on your workload profile, existing technology investments, skill base, and strategic direction.
Healthcare-Specific Service Offerings
AWS Healthcare and Life Sciences
AWS has built a substantial healthcare-specific service portfolio. AWS HealthLake is a HIPAA-eligible data store built on the FHIR R4 standard that enables healthcare organisations to store, transform, and query health data at scale. It includes built-in natural language processing to extract clinical information from unstructured notes and integrated analytics capabilities.
Amazon Comprehend Medical provides NLP specifically trained on medical terminology, enabling extraction of structured data — diagnoses, medications, dosages, procedures — from clinical text. Amazon Transcribe Medical provides speech-to-text for clinical documentation workflows.
AWS also offers a growing portfolio of services for genomics (AWS Genomics CLI), clinical trial management, and population health analytics, along with the AWS Well-Architected Framework guidance specific to healthcare and life sciences workloads.
Microsoft Azure Healthcare
Azure's flagship healthcare service is Azure Health Data Services, a managed platform that consolidates the FHIR server (for clinical data), DICOM service (for medical imaging), and MedTech service (for IoMT device data) into a unified, HIPAA-eligible managed offering. This integration is particularly valuable for organisations looking to build unified clinical data platforms.
Azure API for FHIR (now part of Health Data Services) enables interoperability with EHR systems that support FHIR-based data exchange. Microsoft's deep integration between Azure and its enterprise software portfolio — including Teams (widely adopted for clinical communication) and Dynamics 365 (used in healthcare CRM and operations) — gives Azure a natural advantage in organisations already invested in the Microsoft ecosystem.
Azure AI Health Bot and Azure's broader AI services have healthcare-specific capabilities, and Microsoft has made significant investments in healthcare AI through its partnership with Nuance (now Microsoft Nuance), adding clinical documentation intelligence to the platform.
HIPAA BAA Availability
Both AWS and Azure will sign HIPAA BAAs for a broad set of their services. The scope of BAA coverage is important — not all services are covered on either platform.
AWS maintains a published list of HIPAA-eligible services covering core compute (EC2, ECS, Lambda), storage (S3, EBS, EFS), database (RDS, DynamoDB, Redshift), and many AI/ML and analytics services. HealthLake is covered. The list is regularly updated as services achieve eligibility.
Azure's compliance scope covers its core platform services and explicitly includes Azure Health Data Services, Azure Kubernetes Service, and many AI services. Microsoft's cloud platform broadly achieves compliance certifications — including HITRUST, ISO 27001, and SOC 2 — across a wide service portfolio.
Healthcare organisations should always verify that specific services they intend to use are covered under their executed BAA, as service additions occur continuously and legacy BAAs may not automatically cover new services.
Compliance Certifications
Both platforms hold the major certifications relevant to healthcare: HIPAA, HITRUST CSF, SOC 2 Type II, ISO 27001, ISO 27017, and ISO 27018. Neither has a material advantage on certification breadth.
For global healthcare organisations, the relevant differences may be in country-specific certifications and government cloud offerings (AWS GovCloud, Azure Government) relevant for regulated workloads in specific markets.
Pricing Models
Cloud pricing is notoriously complex and highly workload-dependent. As general guidance:
Compute — Both platforms offer broadly similar pricing for general-purpose compute. Reserved instances (AWS) and Reserved Virtual Machine Instances (Azure) provide significant discounts for predictable workloads. Spot/Preemptible instances are available for fault-tolerant batch workloads (genomics analysis, imaging AI training).
Storage — S3 and Azure Blob Storage have competitive pricing for large-scale storage. PACS image storage at scale warrants a detailed TCO analysis for both platforms.
Egress costs — Data transfer out of both platforms incurs charges. For organisations migrating large imaging datasets or running analytics that export large result sets, egress pricing can be a significant factor.
Enterprise agreements — Organisations with existing enterprise software agreements with Microsoft (Windows, Office 365, SQL Server) can leverage the Azure Hybrid Benefit to apply existing licences to Azure workloads, which can substantially reduce costs for Windows-based clinical applications.
Key Service Comparison
| Category | AWS | Azure | |---|---|---| | Clinical data platform | AWS HealthLake (FHIR R4) | Azure Health Data Services (FHIR, DICOM, MedTech) | | Medical imaging | DICOM on S3 (third-party integrations) | Native DICOM service in Health Data Services | | NLP for clinical text | Amazon Comprehend Medical | Azure Text Analytics for Health | | Speech recognition | Amazon Transcribe Medical | Nuance DAX / Azure Speech | | Database (managed) | RDS, Aurora, DynamoDB | Azure SQL, Cosmos DB, PostgreSQL | | Container orchestration | EKS (Kubernetes) | AKS (Kubernetes) | | Hybrid connectivity | AWS Direct Connect | Azure ExpressRoute |
Strengths and Weaknesses
AWS strengths: Broadest overall service portfolio, mature global infrastructure with the most regions, strong open-source ecosystem integration, first-mover advantage in cloud-native architectures. HealthLake is a strong FHIR platform.
AWS weaknesses: Healthcare-specific services, while growing, are less integrated than Azure's Health Data Services bundle. Less natural integration with Microsoft enterprise software.
Azure strengths: Strong Microsoft ecosystem integration (Active Directory, Teams, SQL Server, Dynamics), native DICOM support in Health Data Services is ahead of AWS, Nuance AI for clinical documentation is a genuine differentiator, and Azure's IAM (Entra ID) is widely used in healthcare organisations already running Active Directory.
Azure weaknesses: Historically narrower service portfolio in some areas compared to AWS, though the gap has narrowed significantly.
Hybrid Connectivity
Both platforms offer dedicated network connectivity to on-premise environments:
AWS Direct Connect provides dedicated, private connectivity from on-premise data centres to AWS, with throughput up to 100 Gbps and SLA-backed reliability.
Azure ExpressRoute provides equivalent dedicated connectivity to Azure. For organisations already using MPLS networks, ExpressRoute can often be provisioned through existing network providers.
For healthcare organisations maintaining hybrid architectures — running legacy clinical systems on-premise while migrating newer workloads to cloud — both options provide the bandwidth and latency characteristics needed for clinical data replication and PACS image access.
Decision Framework
Choose AWS if your organisation prioritises the broadest cloud-native service portfolio, has significant investment in open-source tooling, and is building cloud-native applications without a strong Microsoft software dependency.
Choose Azure if your organisation has extensive Microsoft infrastructure (Active Directory, SQL Server, Office 365), values the integrated DICOM and FHIR capabilities of Health Data Services, and would benefit from Nuance clinical documentation AI or Microsoft's healthcare AI investments.
Many large healthcare organisations run both — using Azure for Microsoft-integrated workloads and clinical data platforms while using AWS for analytics, machine learning, and cloud-native application platforms.
FZ Consulting LLP helps healthcare organisations evaluate and select cloud platforms aligned to their clinical and technical requirements. Contact our team to discuss a cloud platform assessment.