# SurrealDB

SurrealDB — мультимодельный контекстный слой для AI-агентов, объединяющий документные, графовые, векторные, временные и реляционные данные в одной транзакции ACID.

- Findings24: <https://findings24.com/ru/tools/surrealdb>
- Сайт: <https://surrealdb.com>
- Цены: Freemium
- Категории: Инфраструктура для ИИ-агентов, Векторная база данных

## Что такое SurrealDB?

SurrealDB is a multi-model database positioned as a context layer for AI agents. The product site describes it as one database for documents, graphs, vectors, time-series, relational data, full-text search, and agent memory, all handled within a single ACID transaction.

The platform is designed to reduce the glue code and system sprawl that come from stitching together separate databases, caches, search tools, and middleware. SurrealDB Cloud, self-hosted deployments, and Enterprise options are presented for teams that need prototypes, production workloads, or private-cloud control.

## Что умеет SurrealDB?

### Native multi-model storage

Documents, graphs, vectors, time-series, and relational data are presented as native primitives in one database, so context does not need to be split across separate systems.

### Single transactional snapshot

The site emphasizes one ACID transaction boundary for reading and writing context, which helps avoid partial updates across related data.

### Search and retrieval in one engine

Built-in full-text search, vector search, graph traversal, and temporal queries support retrieval workflows for agent memory and hybrid search.

### Database-level security controls

Built-in access controls include RBAC, record-level permissions, JWT auth, and multi-tenant isolation, with enterprise compliance options also listed.

### Real-time and event-driven features

SurrealDB supports real-time subscriptions, event triggers, and streaming updates for reactive application behavior.

### Multiple query and client interfaces

The product pages describe multiple access paths, including SurrealQL, GraphQL, PostgreSQL wire protocol, and MCP server support.

## Варианты использования

### Agent memory and context

Use SurrealDB to keep user history, preferences, embeddings, and relationships in one transactional layer so agent responses can draw from a complete snapshot.

### Hybrid search and RAG

Build retrieval flows that combine vector search, full-text search, graph traversal, and temporal filtering without passing data through separate services.

### Operational applications with mixed data

Store relational records, documents, and graph edges together when application state spans multiple models and must update consistently.

### Real-time product experiences

Use the real-time subscriptions, event triggers, and streaming updates to power reactive products that need immediate changes reflected in the UI or workflow.

### Teams with different deployment needs

Choose cloud, self-hosted, or private-cloud deployment when you need a managed start, on-premises control, or an enterprise operating model.

## Часто задаваемые вопросы

### What is SurrealDB used for?

SurrealDB combines documents, graphs, vectors, time-series, relational data, full-text search, and access control in one database. The source describes it as a single ACID transaction boundary with no middleware for agent memory and context.

### Does SurrealDB offer both cloud and self-hosted options?

The site describes SurrealDB Cloud, self-hosted deployments, and Enterprise. Cloud plans include Start and Scale, while Enterprise is for on-premises or private-cloud deployments with custom pricing.

### Does SurrealDB support real-time application workflows?

Yes. The product pages highlight built-in real-time subscriptions, event triggers, and streaming updates for reactive experiences.

### What support options are available?

The pricing page lists support tiers from standard and business-critical support through premium support with 24x7 coverage. The product pages also mention community support and Surreal Sidekick AI copilot as part of the support experience.

### What integrations or interfaces are documented publicly?

The source does not list a full public integration catalog. It does show a MCP server, GraphQL support, PostgreSQL wire protocol support, and client/runtime options across several languages.

## Краткие сведения

- **Category**: Multi-model database
- **Primary use case**: AI agent context and memory
- **Deployment options**: Cloud, self-hosted, enterprise/private cloud
- **Query language**: SurrealQL
- **Website domain**: surrealdb.com
- **Support**: Community and paid support tiers