surrealdb

GitHub describes it as A scalable, distributed, collaborative, document-graph database, for the realtime web. The repository metadata lists Rust as its primary language. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.

GitHub describes it as A scalable, distributed, collaborative, document-graph database, for the realtime web. The repository metadata lists Rust as its primary language. The metadata lists the NOASSERTION license. The README describes the project this way: SurrealDB is a multi-model database built in Rust designed to unify multiple data models into a single engine. SurrealDB combines document, graph, relational, time-series, geospatial and key-value data types with powerful search and retrieval functionalities (full-text, vector, hybrid) and real-time and event-driven capabilities, enabling developers to build powerful applications faster and more efficiently. SurrealDB can also be used as a backend-as-a-service given its support for end user authentication. Given that it’s a single Rust binary, SurrealDB can run embedded (in‐app), in the browser (via WebAssembly), in the edge, self-hosted as single backend node, or in a distributed cluster in the cloud.

The README section "README details" states: SurrealDB is used for data-intensive systems such as applications requiring multiple data types, data layer for AI agents, knowledge graphs, real-time apps (e.g. recommendation engines, fraud detection systems) and embedded/edge systems. With SurrealDB, you can simplify your database and API infrastructure, reduce development time, and build secure, performant apps quickly and cost-effectively.

The README section "README details" states: - Reduces development time : SurrealDB simplifies your database and API stack by removing the need for most server-side components, allowing you to build secure, performant apps faster and cheaper. - Multi-model : native multi-model support for document, graph, relational (enforcing schema and schemaless), time-series, geospatial and retrieval (full-text, vector, hybrid). This is offered natively through SurrealQL, SurrealDB's SQL-like intuitive query language. - Real-time collaborative API backend service: SurrealDB functions as both a database and an API backend service, enabling real-time collaboration. - Support for multiple querying languages: SurrealDB supports SQL querying from client devices, GraphQL, ACID transactions, WebSocket connections, structured and unstructured data, graph querying, full-text and vector indexing, and geospatial querying. - Granular access control : SurrealDB provides row-level permissions-based access control, giving you the ability to manage data access with precision.

The README section "README details" states: - [x] Database server, or embedded library - [x] Multi-row, multi-table ACID transactions - [x] Single-node, or highly-scalable distributed mode - [x] Record links and directed typed graph connections - [x] Store structured and unstructured data - [x] Incrementally computed views for pre-computed advanced analytics - [x] Realtime-API layer, and security permissions built in - [x] Store and model data in any way with tables, documents, and graph - [x] Simple schema definition for frontend and backend development - [x] Connect and query directly from web-browsers and client devices - [x] Use embedded JavaScript functions for custom advanced functionality - [x] MCP (Model Context Protocol) server for LLM and AI-agent integration

The repository README is the source for this review. It does not replace a local installation or an independent test.

• Source 1 · Project repository
• Source 2 · README