A clinical-grade, multi-tier data lake purpose-built for healthcare. Ingest raw signals, normalize to FHIR, and query across a semantic knowledge graph — with enterprise security and sub-second response times.
5TB+
Daily ingestion capacity
<1s
FHIR query latency
99.999%
Durability SLA
Multi-region
Active-active scaling
A unified data lake with raw ingestion, FHIR normalization, and semantic graph layers — each optimized for different query patterns and workloads.
Synthetic, de-identified, and aggregated clinical datasets available for development, model training, and population health analytics.
Data flows from any clinical source through a multi-stage normalization and validation pipeline before being stored in the lake.
Query your clinical data lake using the interface best suited to your workload — REST, GraphQL, SQL analytics, or vector similarity search.
RESTful FHIR R4 endpoints for resource access and bundles.
GET /v1/fhir/Observation?patient=12345Flexible graph queries across linked clinical entities.
query { patient(id: "12345") { conditions { code } } }Standard SQL queries over the structured analytics layer.
SELECT * FROM observations WHERE patient_id = '12345'Semantic similarity search over clinical note embeddings.
hc.search.similar({ text: "chest pain dyspnea", k: 10 })Enterprise-grade security controls that satisfy the most rigorous healthcare data protection requirements.
At-rest and in-transit encryption for all data
Role-based and attribute-based access controls
Tamper-proof record of all data access events
PHI handling per Business Associate Agreement
Independently audited security controls
Information security management certification
Access the Health Data Lake in Studio. Explore the FHIR Data Explorer, run SQL analytics, and build population health cohorts in minutes.