SurrealDB

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SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications. With SurrealDB, you can simplify your database and API infrastructure, reduce development time, and build secure, performant apps quickly and cost-effectively.

• Reduces Development Time: SurrealDB simplifies your database and API stack by removing the need for most server-side components, allowing you to build secure, performant apps faster and cheaper.
• Real-time Collaborative API Backend Service: SurrealDB functions as both a database and an API backend service, enabling real-time collaboration.
• Support for Multiple Querying Languages: SurrealDB supports SQL querying from client devices, GraphQL, ACID transactions, WebSocket connections, structured and unstructured data, graph querying, full-text indexing, and geospatial querying.
• Granular Access Control: SurrealDB provides row-level permissions-based access control, giving you the ability to manage data access with precision.

View the features, the latest releases, and documentation.

SurrealDB combines the database layer, the querying layer, and the API and authentication layer into one platform. Advanced table-based and row-based customizable 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.

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.

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.

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.

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.

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.

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.

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.

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 analyze the data in ever more simple-yet-advanced ways.

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, the system requirements have been specifically thought through for running in all types of environment.

SurrealDB is designed to be simple to install and run - using just one command from your terminal. In addition to traditional installation, SurrealDB can be installed and run with HomeBrew, Docker, or using any other container orchestration tool such as Docker Compose, Docker Swarm, Rancher, or in Kubernetes.

brew install surrealdb/tap/surreal

curl --proto '=https' --tlsv1.2 -sSf https://install.surrealdb.com | sh

iwr https://windows.surrealdb.com -useb | iex

docker run --rm --pull always --name surrealdb -p 8000:8000 surrealdb/surrealdb:latest start

For more details on installation and deployment, visit the installation guide.