Write the query once, not once per source
Run analytical queries via a single unified flattened schema applied across all of your data.
Join the teams that query every patient the same way
Read customer stories
Data Warehouse
The schema is the product, and the pipeline is your choice
Normalized clinical tables, not raw payloads
The warehouse holds the Harmonization Engine's output: the same consolidated FHIR R4 data the API returns, flattened for analytical queries.
Managed: Snowflake
Metriport runs the transformation and shares the normalized tables through Secure Data Sharing. No pipeline for your team to operate.
Manual: the open-source Tuva path
Standardized into the Tuva data model for Snowflake, BigQuery, Redshift, and other documented warehouse environments. Customer-operated, fully open.
Write the query once
Population questions stop being one query per source format. The schema is the same for every patient, every origin, and every source you connect later.
Benefits
Population questions, without an ETL project first.The transformation is the product, so your analysts start at the query.
The pipeline your data team was going to build
Clinical data arrives analytics-ready: converted, coded, deduplicated, and flattened. The months of transformation work between raw records and a queryable table are already spent.
See the Harmonization EngineQuery soon after processing, not quarterly
Managed Snowflake data becomes available after processing runs, so analysis reflects the population as it is, not as it was at the last batch export.
Read the analytics docsOpen standards underneath, no lock-in on top
The manual path runs on Tuva, an open-source healthcare data model, in the warehouse you already operate. The managed path is a convenience, not a wall.
See the APIHow it works
One schema, two ways to run it.Managed by us, or open source by you.
Choose the operating model
Two documented paths to the same schema. The comparison is the docs' own, verbatim.
Or run the open-source model yourself
The Tuva path is customer-operated and warehouse-agnostic: Snowflake, BigQuery, Redshift, and other documented environments.
Support
FAQs
Normalized clinical tables derived from the same consolidated FHIR R4 data the Medical API returns: the output of the Harmonization Engine, not raw source payloads.
Metriport operates the clinical-data transformation and shares normalized tables through Snowflake Secure Data Sharing.
Tuva supports Snowflake, BigQuery, Redshift, and other documented warehouse environments. This is a customer-operated open-source path, not a native managed connection to each warehouse.
Managed Snowflake data becomes available after processing. Contact Metriport for the current delivery behavior rather than relying on a fixed refresh interval.
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