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SurrealDB

SurrealDB

SurrealDB

Open-source multi-model database unifying documents, graphs, vectors, and time-series data for AI apps.

Updated 30m ago
FreemiumData Analysis37

About SurrealDB

SurrealDB, founded in 2022 and used by enterprise customers including Samsung, Verizon, Tencent, PolyAI, and Saks Fifth Avenue, is a unified data layer for AI: a multi-model database handling documents, graphs, vectors, and time-series data in a single engine. Its Agent Memory feature (in early access) builds persistent memory for AI agents by assembling context from conversations and existing data systems, and GraphRAG combines graph traversal with vector search. SurrealDB supports native knowledge graph modeling with nodes and edges, ACID transactions, a distributed architecture with multiple write nodes, and SDKs for Rust, Go, TypeScript, and Python. The database is free and open source under a self-serve model with no sales requirement, available on GitHub, with enterprise options for organizations needing security review or procurement support.

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Key Information

Pricing
Freemium
Free Trial
No
API Access
No
Category
Data Analysis
Developer
SurrealDB
Last Updated
30m ago
Website Status
Online
Documentation
View Docs

Features

Unified documents, graphs, vectors, and time-series storage
Agent Memory for persistent AI agent context
GraphRAG: graph traversal combined with vector search
ACID transactions with distributed architecture
SDKs for Rust, Go, TypeScript, and Python
Free, open-source self-serve tier plus enterprise options

Pricing

Freemium
Free to start, with paid plans for additional features.

Pros and Cons

Pros

Free to use

Reviews & Ratings

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Frequently Asked Questions

SurrealDB offers a free plan, with paid tiers for more features.

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