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SurrealDB Multi-Model

⬢ LIVELLO 2Tecniche
Alto
Impatto sullo stipendio
3 mesi
Tempo di apprendimento
Difficile
Difficoltà
7
Carriere
In sintesi

SurrealDB is a multi-model database (relational, document, graph, vector) designed for modern applications. Used by developers building full-stack applications where data relationships matter. Time to learn: 8–12 weeks for production proficiency. Sits between SQL fundamentals and advanced database design.

Cos'è SurrealDB Multi-Model

SurrealDB is a multi-model database that combines relational (SQL-like), document (JSON), graph (relationships), and vector (embeddings) data models in a single system. Instead of using PostgreSQL for relational data, MongoDB for documents, and Neo4j for graphs, SurrealDB is one database for all three. It's built in Rust, designed for modern applications, and supports edge deployment and browser-based WASM. The query language (SurrealQL) unifies SQL-like syntax with document and graph operations.

🔧 STRUMENTI ED ECOSISTEMA
SurrealDBRustJavaScript/TypeScriptWASMDockerSurrealQLVector searchGraph Query Language

📋 Prima di iniziare

Database Design

💰 Stipendio per regione

RegioneLivello baseMidLivello esperto
USA$120k$180k$280k
UK£80k£130k£200k
EU€85k€135k€210k
CANADAC$110kC$170kC$260k

❓ Domande frequenti

What makes SurrealDB different from PostgreSQL or MongoDB?
SurrealDB combines all three paradigms (relational, document, graph) in one database. PostgreSQL excels at relational; MongoDB at documents. SurrealDB lets you use all three, reducing data inconsistency and ETL complexity.
Is SurrealDB production-ready?
Yes, as of version 1.x. It's used in production by several companies. However, the ecosystem is smaller than PostgreSQL/MongoDB, so fewer tools and integrations exist.
How does SurrealDB handle vector search?
SurrealDB supports vector data types and indexing. It's emerging as a single-database solution for relational + vector search, competing with Pinecone or Weaviate.
What's the performance of SurrealDB compared to PostgreSQL?
SurrealDB is comparable for most workloads. It's not faster, but it avoids the overhead of managing multiple databases (relational + graph + document).
Can you run SurrealDB in the browser?
Yes, SurrealDB can run in WASM (WebAssembly) in the browser. This enables offline-first applications and P2P data sync.

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