SurrealDB Multi-Model
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.
Qué es 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.
📋 Antes de empezar
💰 Salario por región
| Región | Junior | Medio | Senior |
|---|---|---|---|
| USA | $120k | $180k | $280k |
| UK | $80k | $130k | $200k |
| EU | $85k | $135k | $210k |
| CANADA | $110k | $170k | $260k |
🎓 Certificaciones
🎯 Carreras que usan SurrealDB Multi-Model
❓ Preguntas frecuentes
What makes SurrealDB different from PostgreSQL or MongoDB?
Is SurrealDB production-ready?
How does SurrealDB handle vector search?
What's the performance of SurrealDB compared to PostgreSQL?
Can you run SurrealDB in the browser?
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