Did you know SurrealDB gives you ACID transactions across document and graph writes? Every write commits or rolls back together with no partial state, including across multi-statement manual transactions. Learn more in our docs. 👉 https://sdb.li/4gf0252
About us
SurrealDB is an AI-native, multi-model database built in Rust designed to unify multiple data models into a single, powerful engine. It combines document, graph, relational, time-series, geospatial and key-value data types natively, with powerful search and retrieval (vectors, full-text, hybrid) and built-in real-time and event-driven capabilities. By using SurrealDB, companies can drastically simplify their tech stack, reduce complexity and operational overhead, and build new applications faster. SurrealDB is designed as a single data and logic layer for AI agents, knowledge graphs, real-time applications (e.g. recommendation engines, fraud detection systems), and OLTP applications requiring multiple data types. SurrealDB can also be used as a backend-as-a-service thanks to its support for direct user authentication. Given that it’s a single Rust binary, SurrealDB can run embedded, in the edge, as single backend node, or fully scaled to a distributed cluster - all with the same API.
- Website
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https://surrealdb.com/
External link for SurrealDB
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- London
- Type
- Privately Held
- Founded
- 2022
- Specialties
- Distributed Database, Cloud Native, High Performance, Multi-Cloud, Hybrid Cloud, Globally Distributed, Distributed SQL, Analytics, Web Database, Graph Database, Cloud Database, Serverless, Artificial Intelligence, Graph RAG, RAG, Vector Database, and Multi-Model Database
Products
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SurrealDB
NoSQL Database Software
SurrealDB is the ultimate multi-model database for AI applications. One database, infinite memory. Scale from edge devices to petabyte clusters. SurrealDB unifies vectors, graphs, documents, time-series and files, so your applications can learn, link and act in real time.
Locations
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Primary
Get directions
London, GB
Employees at SurrealDB
Updates
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Meet SurrealQL, our powerful SQL-like query language built for our multi-model database. Intuitive for developers, it makes querying across data models straightforward. Start your journey of learning SurrealQL today. 👉 https://sdb.li/4p9A5p8
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Schemic, built by community member Manuel S., lets developers define schemas in the Zod API and generate native DDL, types, and migrations. It ships with SurrealDB driver support; check out the GitHub repo. 👉 https://lnkd.in/ey5fbwzA
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Most agentic coding tools improvise the backend. SurrealDB changes that. Chiru Boggavarapu shows how connecting Lovable to SurrealDB via MCP makes your database the system of record and source of truth the AI builds against. See how it works. 👉 https://sdb.li/3SDb4Hh
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Surrealist 3.9, our latest major UI release, introduces a complete design overhaul, a new datasets browser and data manager, an improved record inspector, and more. Explore the highlights. 👉 https://sdb.li/4eDIflC
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Did you know SurrealDB lets you query graph, vector, and temporal data in a single round trip? Learn more in our docs on how our multi-model database lets you put an end to ORMs, joins, and glue code between datastores. 👉 https://sdb.li/4vXT6h6
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RAG works well for retrieval, but agentic AI needs more. The missing layer is usually a world model, and knowledge graphs are one way to provide it. Tobie Morgan Hitchcock explains why in Techstrong.ai. Read the full piece. 👉 https://sdb.li/4vDMHbn
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Developer Office Hours returns today at 4 PM BST on Discord. Host Chiru Boggavarapu welcomes community members Manuel Sánchez and Drew Ridley, showcasing projects SurrealDB Zod and SurrealGuard. See you there. 👉 https://sdb.li/4eStD2U
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Building AI workloads on Nebius? SurrealDB is on the Nebius AI Cloud Marketplace. Document, graph, and relational capabilities in one unified data layer, designed for agent memory and agentic workflows. Find out more. 👉 https://sdb.li/4vipV8x
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