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SurrealDB

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description SurrealDB Overview

SurrealDB is a modern multi-model database that combines the best features of relational, document, and graph databases into a single engine. It allows developers to store data in various formats and query it using SurrealQL, which supports complex relationships natively without requiring joins. Its unique architecture enables it to be used as a backend for web apps, mobile apps, or even decentralized systems. It is designed for high-performance applications that need flexibility and speed in a single unified system.

help SurrealDB FAQ

What makes SurrealDB different from PostgreSQL or MongoDB?

SurrealDB is designed as a multi-model database, so one engine can handle document, relational, graph, vector, time-series, and geospatial data. Its SurrealQL language adds record links and graph traversal to SQL-like queries. [SurrealDB documentation](https://surrealdb.com/docs/what-is-surrealdb)

How are relationships represented in SurrealQL?

SurrealDB can create explicit record links and graph edges instead of forcing every relationship into application-side joins. Its documentation includes graph traversal syntax such as outgoing record links and relation queries. [SurrealQL reference](https://surrealdb.com/docs/reference/query-language)

Can SurrealDB run locally without using SurrealDB Cloud?

Yes, SurrealDB can be self-hosted, including on a local development machine, while SurrealDB Cloud is the managed deployment option. The database is built in Rust and is available through official installers and documentation.

Does SurrealDB support vector search for AI applications?

Yes, current SurrealDB documentation lists vector search, full-text search, and hybrid search alongside graph and document queries. That allows an application to combine semantic similarity with structured filters in SurrealQL. [SurrealDB features](https://surrealdb.com/features)

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