SurrealDB empowers defence and aerospace organisations with next-generation data infrastructure for operational efficiency, secure intelligence processing, and real-time situational awareness. Built for mission-critical environments, SurrealDB unifies structured, unstructured, geospatial, time-series, and semantic data - unlocking predictive power and resilience across air, land, sea, space, and cyber domains.
SurrealDB is written in Rust, a memory-safe systems language trusted by security-critical industries including defence, aerospace, and national infrastructure. From embedded edge deployments to battlefield-ready intelligence systems, Rust ensures SurrealDB delivers secure-by-design performance with zero tolerance for memory-based vulnerabilities.
Using SurrealDB’s graph-native engine, defence systems can model dynamic, multi-domain operational environments. From force structures and sensor grids to supply chains and threat actor networks, SurrealDB automates graph construction using AI, rapidly extracting knowledge from logs, documents, and intelligence feeds.
SurrealDB supports hybrid search - combining vector similarity, semantic embeddings, and graph traversal - enabling powerful querying over field reports, geospatial imagery, SIGINT, and open-source intelligence (OSINT). This enables analysts to retrieve the most relevant insight, not just keywords.
Monitor battlefield telemetry, cyber activity, or flight data with native time-series capabilities. SurrealDB enables both real-time alerting and historical reconstruction (e.g. of a cyber breach or mechanical anomaly), enhancing both threat detection and root-cause analysis.
| Use case | Description |
|---|---|
| Proactive cybersecurity and threat detection | Use graph analytics and time-series data to detect anomalous network activity, map threat actor infrastructure, and uncover lateral movement across systems. |
| Sensor fusion and tactical intelligence | Combine data from radar, LIDAR, satellite, and UAVs using SurrealDB’s geospatial support and vector search to enable rapid response and autonomous decision-making. |
| Mission planning and route optimisation | Train and deploy ML models directly on SurrealDB’s native vector database to optimise supply chains, flight paths, or ground operations in real time. |
| Geospatial targeting and reconnaissance | Use SurrealDB as a geospatial database with support for polygons, 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 | Build secure, real-time dashboards for commanders and analysts by leveraging SurrealDB’s horizontal scalability, flexible APIs, and web-ready deployment (e.g. via WebAssembly). |
Handle petabyte-scale mission data without manual sharding - from satellite networks to global cyber monitoring.
Run on secure cloud, on-premises, in secure air-gapped environments, or on the edge using WASM.
Combine structured, document, graph, vector, time-series, and geospatial into a single secure engine.
Designed for low-latency, high-availability use cases - ideal for ISR (intelligence, surveillance, reconnaissance) systems and autonomous platforms.
With SurrealKV, perform historical and forensic queries on past states of the database - critical for auditing, red-teaming, and mission review.
In mission environments, data agility is power. SurrealDB helps turn disparate data into a decisive edge - securely, in real time, and at scale. Whether powering next-gen command systems, threat intelligence platforms, or embedded systems, SurrealDB offers a unified, secure foundation for mission success.
Enterprise-grade agentic memory, secured at the core. Deploy AI agents in days, not quarters.