SurrealDB Multi-Model Database

SurrealDB is an open-source cloud-native database combining relational, document, graph, and time-series capabilities into a single unified platform. Created by Toby Helyer in 2022, SurrealDB has over 28,000 stars as of 2026, making it one of the fastest-growing database projects. Written in Rust for performance and safety, SurrealDB uses SurrealQL and replaces multiple specialized databases with one solution. Key features include: multi-model data (relational tables, document collections, graph relationships, and key-value pairs simultaneously), SurrealQL (SQL-like language supporting graph traversal, record links, embedded computation, and geo-spatial queries), record links (automatic resolution of foreign key relationships via record ID references), schema-full and schema-less modes, embedded database (running in-process within applications, ideal for edge and IoT), server mode (standalone server via WebSocket, HTTP, and gRPC), clustering (multi-node with Raft consensus), multi-tenancy (namespaces, databases, and tables for hierarchical isolation), authentication (scope-based access control, JWT, and external identity providers), real-time subscriptions (live queries via WebSocket), full-text search, time-series handling, geospatial indexing (GeoJSON with distance, area, and intersection queries), and multiple storage backends (in-memory, RocksDB, FoundationDB, and TiKV).