Open Client Registry (OpenCR) vs Zingg

Open Client Registry (OpenCR) links patient identities across information systems to support care coordination, continuity of care and reporting. It offers configurable matching using probabilistic and deterministic methods, and can assign or look up unique identifiers and accept FHIR messages from point-of-service systems such as labs and EMRs. Its interface lets users inspect records and break matches. A deployment uses the OpenCR Service and HAPI FHIR Server with OpenSearch or Elasticsearch; OpenHIM is optional. Transactions, including queries, are stored as audit events in HAPI FHIR and can be viewed in the UI. OpenCR is open source and is listed for API, Linux, macOS, self-hosted, web and Windows environments. It is not a shared health record and does not contain patient clinical data. The production installation guide expects Linux, command-line familiarity and Linux administration expertise; HAPI FHIR needs a production database backend such as PostgreSQL or MySQL. JWT and other user authentication solutions are not provided out of the box and can be added for a deployment. The project describes itself as a community project intended for adaptation to different use cases.

Zingg is open-source, warehouse-native master data management software for resolving entities across data silos and building unified views. It is intended for analytics engineers and data scientists integrating sources at scale, and runs on Linux in a self-hosted environment. Users train the system by labeling 40–50 matching pairs from their own data. Matching combines machine learning with deterministic rules that can use identifiers such as email, SSN, and passport ID. Listed language matching covers Chinese, Japanese, Thai, Hindi, German, French, and Greek without language-specific setup. The Community, Enterprise Lite, and Enterprise editions support millions of records. Enterprise editions can run incrementally against previously matched data, and Enterprise also supports real-time architecture. ZINGG_ID is a persistent identifier assigned to new entities that remains stable across model and configuration changes. Zingg can also run within Snowflake as a Snowflake Container using Snowpark. Community costs nothing and includes batch processing, probabilistic matching, and open-source support.