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Using Surrealism to build your own extensions

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AI-powered mission intelligence at scale

Q: Can SurrealDB operate in disconnected or air-gapped environments?

Yes. SurrealDB compiles to a single binary with no external dependencies and runs fully embedded. It operates without network access, making it suitable for classified networks, forward-deployed systems, and submarine or aircraft environments.

Q: How does SurrealDB support intelligence and situational awareness?

SurrealDB's graph capabilities model relationships between entities — personnel, assets, locations, and events. Combined with vector search over intelligence reports and sensor data, it powers real-time common operating pictures and threat analysis.

Q: Is SurrealDB built with security-critical applications in mind?

Yes. SurrealDB is built in Rust, which eliminates entire classes of memory-safety vulnerabilities. It provides fine-grained access control at the table, record, and field level, supporting zero-trust architectures and multi-level security requirements.

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

Yes. SurrealDB's high-throughput Rust engine ingests continuous streams from radar, satellite, drone, and IoT sensors. Live queries push processed data to command systems in real time for time-critical decision-making.

Q: Does SurrealDB support data sovereignty and deployment flexibility?

Yes. SurrealDB runs self-hosted on your own infrastructure — on-premises, in sovereign cloud regions, or embedded on tactical hardware. You maintain full control over data residency and classification boundaries.

Unify structured, unstructured, geospatial, time-series, and semantic data for operational efficiency, secure intelligence processing, and real-time situational awareness.

CAPABILITIES

Mission-critical advantages

Built in Rust for maximum security

A memory-safe systems language trusted by security-critical industries. High concurrency, zero-cost abstractions, and zero tolerance for memory-based vulnerabilities.

AI-optimised knowledge graphs

Model dynamic, multi-domain operational environments from force structures and sensor grids to supply chains and threat actor networks.

Vector + semantic search for intelligence

Hybrid search combining vector similarity, semantic embeddings, and graph traversal over field reports, geospatial data, SIGINT, and OSINT.

Real-time and historical telemetry

Monitor battlefield telemetry, cyber activity, or flight data with native time-series capabilities for both real-time alerting and historical reconstruction.

SEE IT IN ACTION

Fuse sensor data with geospatial queries

Combine real-time sensor feeds with geospatial lookups to build unified situational awareness.

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 for defence and aerospace

Proactive cybersecurity and threat detection

Graph analytics and time-series data to detect anomalous network activity, map threat actor infrastructure, and uncover lateral movement.

Sensor fusion and tactical intelligence

Combine data for rapid response from radar, LIDAR, satellite, and UAVs using geospatial support and vector search.

Mission planning and route optimisation

Deploy ML models directly on native vector database to optimise supply chains, flight paths, or ground operations in real time.

Geospatial targeting and reconnaissance

Geospatial database support all GeoJSON types such as polygons and coordinates, and embedded spatial queries for real-time situational awareness.

Anomaly detection in maintenance data

Analyse time-series telemetry from aircraft, vehicles, or satellites for predictive maintenance and mission readiness.

Operational intelligence dashboards

Secure, real-time dashboards for commanders and analysts with horizontal scalability and web-ready deployment via WebAssembly.

TRUSTED BY

Powering innovation across industries

Unlocking insights with knowledge graphs

Samsung uses SurrealDB to power knowledge graphs for real-time audience insights and ad targeting in its ad division.

Learn more

Unified infrastructure monitoring

Tencent uses SurrealDB to consolidate nine backend tools into one real-time monitoring platform.

Learn more

WHY SURREALDB

Why decision makers choose SurrealDB

Horizontal scalability

Handle petabyte-scale mission data without manual sharding - from satellite networks to global cyber monitoring.

Flexible deployment

Run on secure cloud, on-premises, in air-gapped environments, or on the edge using WASM.

Unified data model

Combine structured, document, graph, vector, time-series, and geospatial into a single secure engine.

Resilient and real-time

Low-latency, high-availability for ISR systems and autonomous platforms.

Secure data provenance

Historical and forensic queries on past states of the database for auditing, red-teaming, and mission review.

Frequently Asked Questions

Can SurrealDB operate in disconnected or air-gapped environments?

How does SurrealDB support intelligence and situational awareness?

Is SurrealDB built with security-critical applications in mind?

Can SurrealDB handle real-time sensor fusion and telemetry?

Does SurrealDB support data sovereignty and deployment flexibility?

LET'S GOOOO

Start building with SurrealDB

The multi-model database for AI agents. Unify data. Unlock intelligence. Scale anywhere.

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