
Multi-model database for documents, graphs, vectors and relational data
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1 / 3SurrealDB is a database that handles document, graph, relational, key-value and vector data in one engine, so an application does not need a different system for each shape. Queries use SurrealQL, a SQL-like language that covers structured queries, graph traversals, full-text search and vector similarity within a single transaction. It is written in Rust and can run embedded, self-hosted or in the cloud. It suits developers building data-rich or AI apps. It is open source with a free tier.
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