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SurrealDB

The ultimate multi-model database for AI agents

SurrealDB is a unified multi-model database combining document, graph, time-series, relational, geospatial, vector, and key-value data models. Purpose-built for AI agents with integrated search capabilities blending semantic, graph, and relational intelligence.

Features

✓ Multi-model (document, graph, time-series, relational, geospatial, vector, key-value)
✓ SurrealQL query language
✓ Real-time subscriptions and streaming
✓ Vector, full-text, and hybrid search
✓ ACID compliant transactions
✓ RBAC and record-level permissions
✓ JWT authentication
✓ SOC 2 and ISO 27001 certified
✓ Horizontal scaling to petabytes
✓ Edge deployment support

Pros

  • + Single database for multiple data models
  • + Built for AI and vector search
  • + Real-time capabilities built-in
  • + Strong security model
  • + Written in Rust for performance

Cons

  • − Newer database with smaller ecosystem
  • − SurrealQL learning curve
  • − Less mature than established databases
  • − Community still growing