SurrealDB offers a dynamic and adaptable platform for business. With an integrated suite of cutting-edge database solutions, tools, and services, SurrealDB empowers your workforce to discover innovative answers using products meticulously crafted to meet their requirements.
The query language in SurrealDB looks and works similarly to traditional-SQL, but allows for querying over time-series and connected graph data. SurrealQL is an advanced query language, with programming language functionality, that allows developers or data analysts to work with SurrealDB in the ways they choose.
Live Queries in SurrealDB enable a simple yet seamless way of building modern, responsive applications, whether connecting to SurrealDB as a traditional backend database, or when connecting directly to the database from the frontend.
SurrealDB is designed for building applications of any size - and for that, query performance, and improved data analysis workloads are key. With SurrealDB secondary indexes, you can now index data using traditional indexes, full-text search indexing, and vector-embedding search for artificial intelligence use cases.
Change Feeds enable SurrealDB to play a role within the wider ecosystem of enterprise, cloud, or micro-service based platforms, giving users the ability to retrieve and sync changes from SurrealDB to external systems and platforms.
SurrealML enables machine learning models to be greatly simplified, ensuring reproducibility and consistency in machine learning pipelines. Running on our Rust engine, models can be built in Python, and imported in to SurrealDB for inference within the database runtime.
Database, realtime API layer, and security permissions all-in-one
SurrealDB combines the database layer, the querying layer, and the API and authentication layer into one platform. Advanced table-based and row-based customisable access permissions allow for granular data access patterns for different types of users. There's no need for custom backend code and security rules with complicated database development.
Connect and query directly from web-browsers and client devices
Connect directly to SurrealDB from any end-user client device. Run SurrealQL queries directly within web-browsers, ensuring that users can only view or modify the data that they are allowed to access. Highly-performant WebSocket connections allow for efficient bi-directional queries, responses and notifications.
Query the database with the tools you want. Your data, your choice.
SurrealDB is designed to be flexible to use, with support for SurrealQL, GraphQL (coming soon), CRUD support over REST, and JSON-RPC querying and modification over WebSockets. With direct-to-client connection with in-built permissions, SurrealDB speeds up the development process, and fits in seamlessly into any tech stack.
Advanced inter-document relations and analysis. No JOINs. No pain.
With full graph database functionality, SurrealDB enables more advanced querying and analysis. Records (or vertices) can be connected to one another with edges, each with its own record properties and metadata. Simple extensions to traditional SQL queries allow for multi-table, multi-depth document retrieval, efficiently in the database, without the use of complicated JOINs and without bringing the data down to the client.
Tables, documents, and graph. Store and model your data in any way
As a multi-model database, SurrealDB enables developers to use multiple techniques to store and model data, without having to choose a method in advance. With the use of tables, SurrealDB has similarities with relational databases, but with the added functionality and flexibility of advanced nested fields and arrays. Inter-document record links allow for simple to understand and highly-performant related queries without the use of JOINs, eliminating the N+1 query problem.
Simple schema definition for frontend and backend development
With SurrealDB, specify your database and API schema in one place, and define column rules and constraints just once. Once a schema is defined, database access is automatically granted to the relevant users. No more custom API code, and no more GraphQL integration. Simple, flexible, and ready for production in minutes, not months.
Realtime live queries and data changes direct to application
SurrealDB keeps every client device in-sync with data modifications pushed in realtime to the clients, applications, end-user devices, and server-side libraries. Live SQL queries allow for advanced filtering of the changes to which a client subscribes, and efficient data formats, including DIFFing and PATCHing enable highly-performant web-based data syncing.
Scale effortlessly to hundreds of nodes for high-availability and scalability
SurrealDB can be run as a single in-memory node, or as part of a distributed cluster - offering highly-available and highly-scalable system characteristics. Designed from the ground up to run in a distributed environment, SurrealDB makes use of special techniques when handling multi-table transactions, and document record IDs - with no use of table or row locks.
Extend your database with JavaScript and WebAssembly functions
Embedded JavaScript functions allow for advanced, custom functionality, with computation logic being moved to the data layer. This improves upon the traditional approach of moving data to the client devices before applying any computation logic, ensuring that only the necessary data is transferred remotely. These advanced JavaScript functions, with support for the ES2020 standard, allow any developer to analyse the data in ever more simple-yet-advanced ways.
Designed to be embedded or to run distributed in the cloud
Built entirely in Rust as a single library, SurrealDB is designed to be used as both an embedded database library with advanced querying functionality, and as a database server which can operate in a distributed cluster. With low memory usage and cpu requirements, SurrealDB has been specifically designed to run in all types of environment.
