Beyond SQLite: AI, search, and real-time in SurrealDB

Rust-powered. ML-ready. Build embedded apps that think, adapt, and scale.

The problem

SQLite wasn’t built for modern embedded intelligence. AI-driven sensors, offline vector search, and on-device inference expose its limitations.

Slow feature updates

SQLite added JSONB in 2023, 10 years after PostgreSQL.

Lacks intelligence

No vector search, ML inference, or real-time updates.

Scalability issues

Single-threaded C code struggles on multi-core hardware.

The solution

SurrealDB’s Rust-powered embedded engine. It’s SQLite-like in simplicity but built for performance, safety, and modern workloads.

Embedded ML

Embedded ML

Run ONNX models directly inside the database. Example: predict equipment failures using local telemetry.

Built-in search

Built-in search

SurrealDB supports vector and full-text search for AI/ML use cases (e.g., image similarity on a drone).

Multi-model flexibility

Multi-model flexibility

Blend relational, document, and graph data seamlessly. Example: combine vector results with structured business data.

Rust-powered

Rust-powered

Thread-safe, memory-efficient, and built for modern hardware.

AI/ML native

AI/ML native

Embed models, run inferences, and perform vector search without external services.

Scales up or down

Scales up or down

Start on a microcontroller and scale up to a distributed cluster.

Ready to embed intelligence?

Contact the team today