SurrealDB

A multi-model database that combines documents, graphs, vectors, and time-series data in a single ACID transaction.

Verified API available Works with n8n Free tier
Quick facts
What is it A multi-model database that combines documents, graphs, vectors, and time-series data in a single ACID transaction.
Pricing Freemium
Free tier Yes
Platform Web Application
API Yes
Works with n8n
Best for Providing unified context and memory for AI agent applications, Replacing a stack of separate databases (Postgres, Neo4j, Pinecone) with one system
Domain registered 2016

Data updated Aug. 1, 2026

What does SurrealDB do?

SurrealDB is a database platform designed to be the unified context layer for AI agents and applications. Instead of forcing developers to connect and manage separate systems for different data types—like a vector database for embeddings, a graph database for relationships, and a document store—SurrealDB handles documents, graphs, vectors, and time-series data within one engine. This means you can run a single query that performs a graph traversal, a vector similarity search, and filters temporal data all at once, returning a unified result set.

The platform stands out by wrapping all these operations in a single ACID transaction, ensuring that writes across different data models either all succeed or all fail together, preventing inconsistent states. It uses its own query language, SurrealQL, to compose these complex operations. The architecture is vertically integrated, with layers for distributed storage (compatible with S3, GCS, or Azure Blob), the core SurrealDB context engine, and a top-level memory layer called Spectron for AI agents.

This tool is a major benefit for developers and engineering teams building complex, data-intensive applications, particularly AI agents that need to reason over diverse types of contextual information. It simplifies backend architecture significantly by reducing the number of systems to deploy, secure, and monitor. Use cases include building AI assistants that require persistent memory, applications needing complex data relationships, and any project where low-latency access to multi-model data is critical.

#acid-transactions#ai-agent-context#data unification#developer-backend#graph database#multi-model-database#surrealql#vector search

Key features

What makes it stand out
01
Unifies document, graph, vector, and time-series data in a single database
02
Executes multi-model queries in a single ACID transaction for data consistency
03
Uses SurrealQL, a custom query language for complex data operations
04
Includes built-in backend features like authentication, permissions, and API endpoints
05
Features a vertical stack with integrated storage and a dedicated memory layer for AI agents

Who is SurrealDB for?

Who benefits most from this tool
Providing unified context and memory for AI agent applications
Replacing a stack of separate databases (Postgres, Neo4j, Pinecone) with one system
Building real-time applications with built-in authentication and live queries

Pricing

Free tier available — start without a credit card

Start

Free
  • 0.021 hourly rate
  • 1GB storage free, forever
  • Scale vertically to terabytes
  • Automatic burst scaling
  • Daily automated backups
  • Cloud RBAC and ABAC
  • Database branching and forking
  • Multi-model queries

Dedicated

Custom
  • Scale horizontally to petabytes
  • Highly-available and fault-tolerant
  • Multiple availability-zone deployment
  • Multi-region disaster recovery
  • Object-storage backed data
  • Up to 256GB memory per node
  • Database branching and forking

Enterprise

Custom
  • Highly available, fault tolerant
  • Horizontal scalability
  • Audit logging and compliance
  • SSO & advanced access controls
  • Gen-3 distributed storage engine
  • Database branching and forking
  • SLA-backed uptime guarantees
  • FIPS-compliant cryptography
  • Object file storage backends
  • Distributed live queries

Trust & presence

Search presence Top 100k site
Domain Domain registered 2016

Gallery

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