Comparison
Fire Arrow vs Google Cloud Healthcare API
Google Cloud Healthcare API is a managed FHIR store on GCP with strong analytics integration into BigQuery and the rest of Google Cloud. Fire Arrow targets the application backend layer with rule-based authorization, GraphQL, and clinical workflow primitives.
Who this is for
Architects, CTOs, staff engineers, and product leaders evaluating FHIR infrastructure options.
Clinical applicability
A team building primarily for analytics and BI on GCP, with limited custom application logic on top of FHIR, may find the managed API a natural fit. A team building a digital-health product with detailed access control, CarePlan scheduling, and GraphQL may find Fire Arrow a closer match.
Capability comparison
When to choose Google Cloud Healthcare API
You are committed to GCP, your primary need is FHIR-as-storage with BigQuery analytics, and the application logic on top is light.
When to choose Fire Arrow
You want a backend with detailed access control and clinical workflow primitives, no cloud lock-in, and the option to run on-premise or in a non-GCP cloud.
Related pages
FAQ
Can Fire Arrow run on GCP?
Yes. The deployment is container-based and runs on any Kubernetes-capable platform, including GKE.
Can I export Fire Arrow data to BigQuery?
Yes through standard FHIR Bulk Data export feeding a BigQuery loader. The pipeline is the customer's; the data shape is FHIR R4.
How does authorization differ?
Google Cloud Healthcare API uses GCP IAM roles and FHIR consent enforcement. Fire Arrow uses rule-based authorization with healthcare-specific validators (PatientCompartment, LegitimateInterest, CareTeam) that are closer to clinical relationships out of the box.