Built for healthcare innovation

Q: Can SurrealDB run on medical devices and edge gateways?

Yes. SurrealDB is a single binary that runs embedded on constrained hardware, so bedside monitors, wearables and telehealth kits run offline with full ACID guarantees; replication to a central instance runs through your application.

Q: How does SurrealDB support clinical AI workloads?

Vector embeddings sit beside structured patient records with native indexing, so similarity search combines with graph traversal over biomedical relationships for decision support and diagnostic co-pilots.

Q: Does SurrealDB support audit trails and historical queries?

Yes. Point-in-time queries with VERSION on a versioned storage engine (experimental) return data as it stood at any past point, which covers compliance audits, post-incident investigations and pharmacovigilance reporting.

Q: Can SurrealDB model patient-provider relationships?

Yes. Patients, providers, diagnoses, medications and procedures are native graph edges, traversed to detect fraud, optimise care pathways or power clinical knowledge graphs.

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Records. Patient records and sensor streams, unified.

Models. Diagnostic models over the same data.

Compliance. Regulatory reporting from one secure platform.

CAPABILITIES

Granular security, by default. Built for regulated, high-sensitivity healthcare environments.

Memory-safe by design

Built in Rust to protect PHI under HIPAA and GDPR.

Runs everywhere

Embedded, in-browser or at the edge, close to the patient.

OLTP and BaaS in one

Vitals, medication schedules and triage rules through one endpoint.

Vectors and knowledge graphs

Embeddings beside patient data, with biomedical relationships as a graph.

SEE IT IN ACTION

Find similar patient cases. Structured EHR data and vector similarity in one query.

The five patients whose clinical-note embeddings sit closest to the current case.

1-- Find patients with similar symptom profiles
2-- using vector embeddings from clinical notes
3LET $embedding = SELECT VALUE embedding FROM ONLY patient:current;
4
5SELECT
6    id, name, diagnosis,
7    vector::similarity::cosine($embedding, embedding) AS similarity
8FROM patient
9WHERE similarity > 0.85
10ORDER BY similarity DESC
11LIMIT 5;

USE CASES

Core use cases. How healthcare organisations apply SurrealDB.

Clinical decision support

Vector search over EHR, genomics and imaging for differential diagnoses.

Medical telemetry and IoT

Bedside monitors and wearables ingesting vitals locally.

Imaging and diagnostics

Embeddings for X-ray, CT and pathology slides, retrieved by similarity.

Patient-facing chatbots

Lab results, appointments and literature in one grounded semantic layer.

Billing integrity

Provider, patient and procedure networks traversed to flag anomalous claims.

Remote monitoring

Sensor streams with sub-second alerts for arrhythmia or sepsis risk.

WHY SURREALDB

Why healthcare organisations choose SurrealDB. The advantages that matter in healthcare.

Your questions,answered

Is SurrealDB suitable for protected health information (PHI)?

SurrealDB is built in Rust for memory safety, enforces access control at table, record and field level, and encrypts data at rest and in transit, which supports the security requirements around PHI.

Can SurrealDB run on medical devices and edge gateways?

How does SurrealDB support clinical AI workloads?

Does SurrealDB support audit trails and historical queries?

Can SurrealDB model patient-provider relationships?

THE PLATFORM

Everything an application and its agents know. Five surfaces, one engine.

Database

Document, graph, vector, time-series and relational in one engine.

Five data models as dotted tiles: documents, graph, vector, time-series and relational

Agent Memory

What an agent learns, with its source and its time, in the same engine.

A timeline of remembered facts, each with its source

Cloud

Managed clusters in the regions you choose, scaled on demand.

Clusters in three regions on a world map, each running or scaling

Studio

Query, explore and design the schema from the browser.

MCP

Every model that speaks MCP reaches the database and the memory directly.

Three models connected through MCP to the database and Agent Memory

IN PRODUCTION

Trusted at scale. Samsung, Nvidia, Verizon, Tencent and Walmart run on SurrealDB.

14,000+

Developers building on SurrealDB Cloud

4M+

Developers building on SurrealDB worldwide

FROM THE TEAMS

SurrealDB gives us a foundation where we can unify semantic search, knowledge graphs, and AI-driven decision making without stitching together multiple systems. Collapsing responsibility into SurrealDB has become our default engineering posture.

Justin Foley

VP of Engineering, Later

GET STARTED

Start building with SurrealDB. Patient records, care pathways and clinical knowledge graphs on one secure data layer.

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