For a healthcare workload, all three major clouds — AWS, Microsoft Azure, and Google Cloud — are HIPAA-eligible under a BAA and fully capable. The real decision is rarely “which is most compliant”; it is which one fits your existing footprint, your EHR and vendor alignment, and the specific managed healthcare services you need. This comparison covers BAA coverage, the FHIR and imaging services, AI/ML, security tooling, and where each cloud tends to win. We build on all three and resell none, so this is selection guidance, not a push toward one.
For the how-to of building a compliant architecture on these clouds, see our HIPAA-compliant cloud architecture guide; this page is the platform-selection comparison.
Get a Healthcare Cloud Strategy Consultation (Free 60-Min Workshop) → (NDA-protected)
Cloud engineering across AWS, Azure & GCP · HIPAA + BAA · healthcare cloud experience
HIPAA BAA Coverage Comparison
AWS HIPAA-Eligible Services
AWS offers a broad list of HIPAA-eligible services under its Business Associate Addendum, covering the building blocks most healthcare workloads need.
Azure HIPAA-Eligible Services
Azure covers an extensive set of services under Microsoft’s BAA, with deep enterprise and identity tooling.
GCP HIPAA-Eligible Services
Google Cloud covers a wide range of services under its BAA, with particular strength in data and AI/ML.
BAA Differences
All three will sign a BAA and publish their covered-services lists; the practical differences are which specific services are in scope and how each structures the agreement. We confirm coverage for your exact architecture rather than assuming — see our HIPAA-compliant development practice.
Healthcare-Specific Services
FHIR & Healthcare Data Services
- AWS HealthLake — managed FHIR R4 store with built-in ML; see our AWS HealthLake implementation work.
- Azure Health Data Services (FHIR service) — the successor to the standalone Azure API for FHIR, which Microsoft is retiring (end of support September 30, 2026); see our Azure API for FHIR implementation work.
- Google Cloud Healthcare API — managed FHIR, HL7 v2, and DICOM stores.
All three build on the same FHIR standards.
AI / ML for Healthcare
- AWS: Comprehend Medical and SageMaker.
- Azure: Azure AI health capabilities (including Text Analytics for health) and Azure Machine Learning.
- Google Cloud: Vertex AI, with MedLM (built on Med-PaLM).
These support our clinical NLP and healthcare AI work.
DICOM & Medical Imaging
- AWS HealthImaging, Azure DICOM service (part of Azure Health Data Services), and Google Cloud Medical Imaging Suite — see our DICOM imaging pipeline work.
Cost Comparison for Healthcare Workloads
Cloud cost depends on your architecture, data volume, and commitments, and list prices shift — so any blanket “cheapest cloud” claim is misleading. The components that matter are compute, storage (with PHI retention and redundancy considerations), FHIR service pricing, and AI/ML inference cost (often the largest variable at scale). We model these for your specific workload rather than quoting generic figures.
Security & Compliance Capabilities
Each cloud has a strong native security posture-management tool: AWS Security Hub, Microsoft Defender for Cloud (formerly Azure Security Center), and Google Cloud Security Command Center. All three support the controls HIPAA expects; we implement them as part of any deployment — see our data security practice.
Where Each Cloud Wins for Healthcare
When AWS Is the Right Choice
AWS often fits organizations that want the broadest service catalog and maturity, are already on AWS, or value HealthLake’s built-in ML.
When Azure Is the Right Choice
Azure often fits Microsoft-standardized organizations — deep Entra ID and Microsoft 365 integration — and those drawn to its enterprise and identity tooling.
When GCP Is the Right Choice
Google Cloud often fits data- and AI/ML-heavy workloads and teams that value its analytics and Vertex AI ecosystem.
Multi-Cloud Considerations
Multi-cloud can reduce lock-in and place workloads where they run best, at the cost of added complexity and operational overhead. It is a deliberate trade-off, not a default.
Integration With Healthcare Vendors
Epic on Each Cloud
Epic can run on major clouds, and has notable ties with Microsoft Azure; the right host depends on your strategy and Epic’s current guidance — see our Epic integration work.
Cerner on Each Cloud
Since Oracle’s acquisition, Cerner (Oracle Health) aligns naturally with Oracle Cloud, though integration from other clouds remains possible.
Major EHR Vendor Cloud Partnerships
Vendor-cloud relationships evolve, so verify current specifics as part of your decision rather than relying on yesterday’s announcement. We help you confirm them.
Migration Strategy
Moving Between Healthcare Clouds
Cloud-to-cloud migration of healthcare workloads is a real program — data, integrations, and compliance all move. See our software modernization practice.
Multi-Cloud Architecture
Where multi-cloud is warranted, we design clear workload placement and data-flow boundaries so it does not become unmanageable.
Hybrid Cloud for Healthcare
For organizations with on-premises constraints, we design hybrid architectures that keep sensitive workloads where they must live while using the cloud where it helps.
Get a Healthcare Cloud Strategy Consultation (Free 60-Min Workshop) →
Frequently Asked Questions
Which is the most HIPAA-friendly?
None is meaningfully “more HIPAA-friendly” — all three sign BAAs and offer extensive HIPAA-eligible services. Compliance depends on how you architect and configure the environment, not which logo is on it. The better question is which cloud fits your footprint, vendors, and needed services, which is what the workshop resolves.
Can we run AI/ML on each?
Yes. AWS (Comprehend Medical, SageMaker), Azure (Azure AI health capabilities, Azure ML), and Google Cloud (Vertex AI, MedLM) all support healthcare AI/ML. The right choice depends on your specific models, data gravity, and where the rest of your stack lives.
On-premises vs cloud for PHI?
Cloud is appropriate for PHI when configured correctly under a BAA, and most organizations run PHI in the cloud today. On-premises or hybrid still makes sense for specific data-sovereignty, latency, or contractual constraints. We design for your requirements rather than assuming one answer.
BAA cost differences?
The BAA itself is not a separate line-item charge on any of the three; cost differences come from the services you use and how you architect, not from signing the agreement. We model the real cost drivers for your workload.
Get a Healthcare Cloud Strategy Consultation (Free 60-Min Workshop) →
Reviewed by Taction Software’s healthcare cloud engineering team. We confirm the specific cloud credentials of the engineers assigned to your engagement. ISO 27001-certified information security management. PHI is handled under a signed BAA. See our custom healthcare software development practice.