Mission intelligence at scale

Q: How does SurrealDB support situational awareness?

Graph relationships between personnel, assets, locations and events, combined with vector search over reports and sensor data, power real-time common operating pictures and threat analysis.

Q: Is SurrealDB built for security-critical applications?

Yes. SurrealDB is written in Rust, which rules out whole classes of memory-safety vulnerabilities, and enforces access control at table, record and field level for zero-trust and multi-level security.

Q: Can SurrealDB handle real-time sensor fusion and telemetry?

Yes. The Rust engine ingests continuous streams from radar, satellite, drone and IoT sensors, and live queries push processed data to command systems as it arrives.

Q: Does SurrealDB support data sovereignty?

Yes. SurrealDB runs self-hosted on-premises, in sovereign cloud regions or embedded on tactical hardware, so data residency and classification boundaries stay under your control.

Q: Can SurrealDB support digital twins of platforms and fleets?

Yes. Asset graphs, sensor fusion, geospatial state, telemetry and engineering documentation sit in one engine, with point-in-time queries with VERSION on a versioned storage engine (experimental) for mission review and post-event reconstruction. See /use-cases/digital-twins.

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Unify. Structured, geospatial, time-series and semantic data in one place.

Secure. Intelligence processing built for sensitive environments.

Real time. Situational awareness as events happen.

CAPABILITIES

Mission-critical advantages. Engineered for secure, air-gapped and high-assurance environments.

Built in Rust

Memory-safe, highly concurrent and trusted by security-critical industries.

Knowledge graphs

Force structures, sensor grids, supply chains and threat networks as one graph.

Vector and semantic search

Hybrid search over field reports, geospatial data, SIGINT and OSINT.

Telemetry, live and historical

Native time-series for real-time alerting and after-the-fact reconstruction.

SEE IT IN ACTION

Fuse sensor data with geospatial queries. Live feeds and spatial lookups in one statement.

The five nearest assets to a point of interest, joined with their latest telemetry.

1-- Find latest five assets within 50km of a point of interest
2-- and join with their latest telemetry data
3SELECT
4                   id, 
5                   type, 
6                   position,
7                   ->(SELECT * FROM telemetry ORDER BY timestamp DESC LIMIT 5).{ 
8                               id, 
9                               timestamp,
10                               asset: out 
11                   } AS latest
12               FROM asset
13               WHERE geo::distance(position, (-77.0369, 38.9072)) < 50000;

USE CASES

Core use cases. How defence and aerospace teams apply SurrealDB.

Cyber threat detection

Graph and time-series analytics that map threat infrastructure and lateral movement.

Sensor fusion

Radar, LIDAR, satellite and UAV feeds in one live digital twin of the theatre.

Mission planning

ML models on native vectors to optimise supply chains, flight paths and ground operations.

Geospatial reconnaissance

Every GeoJSON type, with spatial queries for real-time situational awareness.

Predictive maintenance

Telemetry from aircraft, vehicles and satellites analysed for mission readiness.

Platform and fleet digital twins

Components, suppliers, sortie history and maintenance records as one living graph.

Operational dashboards

Secure, real-time views for commanders and analysts, web-ready via WebAssembly.

WHY SURREALDB

Why decision makers choose SurrealDB. The advantages that matter in defence and aerospace.

Your questions,answered

Can SurrealDB operate in disconnected or air-gapped environments?

Yes. SurrealDB is a single binary with no external dependencies, so it runs fully embedded on classified networks, forward-deployed systems and aircraft or submarine platforms.

How does SurrealDB support situational awareness?

Is SurrealDB built for security-critical applications?

Can SurrealDB handle real-time sensor fusion and telemetry?

Does SurrealDB support data sovereignty?

Can SurrealDB support digital twins of platforms and fleets?

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. Mission systems and sensor fusion on one accredited data layer.

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