Enterprise-grade agentic
memory, secured at the core

Deploy AI agents in days, not quarters. SurrealDB unifies multi-model performance, persistent vector memory, and zero-trust authentication - from edge devices, to petabyte clusters fully managed in our cloud.

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Understand agentic memory

Trusted by 1,000s of companies

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Deploy modern AI, at scale

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Agentic and Gen AI

Build generative AI apps and multi-step agents on SurrealDB, unifying memory and action layers.

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GraphRAG

Supercharge retrieval-augmented generation with graph data models, for richer context and relevance.

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Knowledge Graphs

Combine vectors, events and user graphs for instant recommendations, personalisation and analytics.

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Unified data infrastructure

Why SurrealDB?

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Unified data layer for enhanced AI

Store, recall and serve AI context in one powerful platform so your applications can learn, link and act in real time, with structured and unstructured data.

Hybrid search with graph queries

Seamlessly combine vector similarity search, full-text search, and graph traversals in a single query. No complex joins or multiple database calls.

SELECT supplier.*, similarity(embedding, $ideal_spec) AS score
FROM suppliers
WHERE geo::distance(location, $site) - 10km
ORDER BY score DESC
FETCH contacts, contacts.manager;

Lower cost

Reduce total cost of ownership by eliminating the complexity of maintaining separate vector, graph, and document databases.

Unmatched scalability

Scale from a single node to a horizontally-scalable cluster with petabytes of data, without sharding.

Deploy anywhere

From in-memory and edge devices to self-hosted or global cloud infrastructure.

Real-time streaming

Build real-time applications and interfaces with powerful event-driven data notifications.

LIVE SELECT
  vector::similarity::cosine(details, $search)
  array::distinct(
    ->order->product,          -- products they bought
    <-order<-person,           -- other people who bought those
    ->order->product.{id,name} -- products those people bought
  ) AS recommend_products
FROM $user
WHERE details <|3|> $search;

Secure and compliant, by default

Apply granular security policies, for multi-tenant access and data confinement. Stay compliant with built-in audit logs and compliance functionality.

Works with your tech stack

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Languages

Models

Deployment

Developer platforms

Too good to be true?

Don’t take our word for it

Performance and benchmarks

As a multi-model database, SurrealDB is fast and scalable. See how it compares with other databases in our benchmarks.

Stars given to SurrealDB on GitHub

Join the community

Discover what our community has to say about their Surreal experience

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View us on GitHub

@UnchainedAlgo

I initially explored a more traditional stack: Neo4j for the graph database, RabbitMQ for a task queue, and Postgres with extensions for vector search. However, I realised SurrealDB could cover all of these needs, allowing me to consolidate the backend into a single dependency.

@ThatOneCalculator

I can never go back to Postgres lmao.

@Sigismond

SurrealDB fast tracked our progress with all its features. Graph links + Record links + Full text search + Vector embeddings and Vector search + Surreal WASM for offline-ability... just name it!!!! Thanks Surreal team for making it happen!!!!

Lucy Egan

Aspire

We replaced 5 backend tools with SurrealDB and scaled to 700,000 users in 8 hours.

@KenjiSuza

Fantastic! Graphrag, etc handles it all. Solid and fast

Chris Bruce

I know people love Supabase and Convex is blowing up. But I think SurrealDB is gonna be the real killer. More modern apps really should be using more graph databases as applications need to provide for more and more complex relationships.

@BeniaminDudek

So much easier to write advanced queries compared to SQL. Queries are actually readable! Community on Slack is also very helpful and includes SurrealDB developers.

@AjaySahoo

Surrealist’s way of exploring complex data feels simple as its intuitive, fast, and removes the need for complex queries.

@Michael Ncube

Great product, highly recommend

Trevor Parscal

I'm certainly enjoying that I can replace hundreds of lines of Postgres trigger and function code with a dozen characters in a DEFINE statement in SurrealDB.

@glitch.tar.lrz

The best next-gen multi-modal database that's out there.

Albert Marashi

SurrealDB has allowed our team to focus more on product and iteration without worrying about database constraints. We can do literally everything we need in SurrealDB.