Comparisons anchored on HAPI FHIR, the Apache-2.0 Java FHIR library and JPA server: against Medplum, Microsoft's FHIR Server and Blaze, its commercial sibling Smile CDR, and the choice between its plain and JPA server models.
A Java FHIR server and library you assemble into your own platform against a TypeScript healthcare developer platform with auth, bots, SDK and UI components included: FHIR versions, databases, security building blocks, hosted options and prices, and which team profile fits each.
Two open-source FHIR servers with different homes: HAPI FHIR's multi-version JPA server against the MIT-licensed project behind Azure's managed FHIR service, covering FHIR versions, data stores after the Cosmos DB retirement, identity, deployment outside Azure and support.
A general-purpose FHIR server against Blaze, an R4 server with a built-in CQL engine aimed at research cohorts and measures: storage design, write throughput trade-offs, terminology, authentication and when Blaze is the better fit.
The open-source HAPI FHIR project against Smile CDR, the commercial clinical data repository from the same company built on the HAPI core: what the commercial product adds, support and release cadence, and when a team should stay on open-source HAPI.
Writing resource providers over your own data store against running HAPI's database-backed JPA server: what each requires you to build, supported databases, deployment options, partitioning, and which model fits a FHIR facade over a legacy system.
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