SurrealDB

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About SurrealDB

SurrealDB is a multi-model database built in Rust designed to unify multiple data models into a single engine, combining document, graph, relational, time-series, geospatial, and key-value data types with full-text, vector, and hybrid search alongside real-time, event-driven capabilities. Because it ships as a single Rust binary, SurrealDB can run embedded in an app, in the browser via WebAssembly, at the edge, as a self-hosted single node, or in a distributed cluster in the cloud. It functions as both a database and an API backend, supporting SurrealQL, GraphQL, REST, and JSON-RPC over WebSockets, with row-level permissions for granular access control. It also supports embedded JavaScript functions for custom server-side logic and an MCP server for LLM and AI-agent integration. SurrealDB removes the need for most custom backend and API code by letting developers define schema, access rules, and relationships directly in the database.

Key Features

• Multi-model support: document, graph, relational, time-series, geospatial, key-value
• Full-text, vector, and hybrid search built in
• Real-time live queries with data pushed to clients
• Built-in API and authentication layer (backend-as-a-service)
• Row-level and table-level permissions
• Runs embedded, in-browser (WASM), at the edge, or as a distributed cluster
• SurrealQL query language plus GraphQL, REST, and JSON-RPC support
• Record links and typed graph edges without JOINs
• Embedded JavaScript functions (ES2020) for custom logic
• ACID multi-row, multi-table transactions
• MCP server for LLM and AI-agent integration
• SDKs for Rust, JavaScript, Python, Go, .NET, PHP, and Java

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