SurrealDB

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Multi-model cloud & embedded database (SQL, Document, Graph, Vector) in Rust

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Product Overview & Architecture

SurrealDB rethinks database architecture from the ground up. Written in Rust, it acts as a database, an API backend, and a real-time WebSocket communication layer. Instead of stitching together PostgreSQL, Neo4j, MongoDB, and Pinecone, SurrealDB handles structured tabular queries, graph relationship traversing, vector embeddings, and row-level authorization permissions natively.

BEST SUITED FOR:Full-stack developers and AI engineers wanting a single database for document, graph, and vector search

Key Features & Capabilities

Multi-model engine: Relational SQL, document JSON, graph edges, and vector embeddings

Embedded mode: Run directly in-memory, on WebAssembly (WASM), or in mobile apps

SurrealQL query syntax combining familiar SQL with graph traversal and JSON manipulation

Granular row-level permissions (RECORD access) for direct frontend-to-database queries

Live queries with real-time WebSocket event streaming

100% open source under BSL / Apache 2.0 with Surreal Cloud managed option

THE GOOD (PROS)

•Replaces 3 separate databases with a single lightweight Rust binary
•Runs on client devices via WASM or scales horizontally in the cloud
•Blazing fast Rust execution speed

SHORTCOMINGS (CONS)

•SurrealQL syntax has a learning curve for traditional SQL DBA teams
•Cloud ecosystem tooling is newer than 30-year-old PostgreSQL

Pricing Plans & Tiers

Transparent breakdown without hidden usage penalties.

View current SurrealDB plans and billing terms on the official website ↗

HEAD-TO-HEAD COMPARISONS

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