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SurrealDB is the ultimate cloud
database for tomorrow's applications

Develop easier.   Build faster.   Scale quicker.


A scalable, distributed, collaborative, document-graph database, for the realtime web.


     

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  What is SurrealDB?

SurrealDB is an end-to-end cloud native database for web, mobile, serverless, jamstack, backend, and traditional applications. SurrealDB reduces the development time of modern applications by simplifying your database and API stack, removing the need for most server-side components, allowing you to build secure, performant apps quicker and cheaper. SurrealDB acts as both a database and a modern, realtime, collaborative API backend layer. SurrealDB can run as a single server or in a highly-available, highly-scalable distributed mode - with support for SQL querying from client devices, GraphQL, ACID transactions, WebSocket connections, structured and unstructured data, graph querying, full-text indexing, geospatial querying, and row-by-row permissions-based access.

View the features, the latest releases, the product roadmap, and documentation.

  Features

  Documentation

For guidance on installation, development, deployment, and administration, see our documentation.

  Installation

SurrealDB is designed to be simple to install and simple to 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.

  Install on macOS

The quickest way to get going with SurrealDB on macOS is to use Homebrew. This will install both the command-line tools, and the SurrealDB server as a single executable. If you don't use Homebrew, follow the instructions for Linux below to install SurrealDB.

bash brew install surrealdb/tap/surreal

  Install on Linux

The easiest and preferred way to get going with SurrealDB on Unix operating systems is to install and use the SurrealDB command-line tool. Run the following command in your terminal and follow the on-screen instructions.

bash curl -sSf https://install.surrealdb.com | sh

  Install on Windows

The easiest and preferred way to get going with SurrealDB on Windows is to install and use the SurrealDB command-line tool. Run the following command in your terminal and follow the on-screen instructions.

bash iwr https://install.surrealdb.com -useb | iex

  Run using Docker

Docker can be used to manage and run SurrealDB database instances without the need to install any command-line tools. The SurrealDB docker container contains the full command-line tools for importing and exporting data from a running server, or for running a server itself.

bash docker run --rm -p 8000:8000 surrealdb/surrealdb:latest start

Update the image to the latest version:

bash docker pull surrealdb/surrealdb:latest

  Getting started

Getting started with SurrealDB is as easy as starting up the SurrealDB database server, choosing your platform, and integrating its SDK into your code. You can easily get started with your platform of choice by reading one of our tutorials.

Client side apps
Server side code

  Quick look

With strongly-typed data types, data can be fully modelled right in the database.

sql UPDATE person SET waist = <int> "34.59", height = <float> 201, score = <decimal> 0.3 + 0.3 + 0.3 + 0.1 ;

Store dynamically computed fields which are calculated when retrieved.

sql CREATE person SET birthday = "2007-06-22", can_drive = <future> { time::now() > birthday + 18y } ;

Easily work with unstructured or structured data, in schema-less or schema-full mode.

```sql -- Create a schemafull table DEFINE TABLE user SCHEMAFULL;

-- Specify fields on the user table DEFINE FIELD name ON TABLE user TYPE object; DEFINE FIELD name.first ON TABLE user TYPE string; DEFINE FIELD name.last ON TABLE user TYPE string; DEFINE FIELD email ON TABLE user TYPE string ASSERT string::is::email($value);

-- Add a unique index on the email field preventing duplicate values DEFINE INDEX email ON TABLE user COLUMNS email UNIQUE;

-- Create a new event whenever a user changes their email address DEFINE EVENT email ON TABLE user WHEN $before.email != $after.email THEN ( CREATE event SET user = $this, time = time::now(), value = $after.email, action = 'email_changed' ); ```

Connect records together with fully directed graph edge connections.

```sql -- Add a graph edge between user:tobie and article:surreal RELATE user:tobie->write->article:surreal SET time.written = time::now() ;

-- Add a graph edge between specific users and developers LET $from = (SELECT users FROM company:surrealdb); LET $devs = (SELECT * FROM user WHERE tags CONTAINS 'developer'); RELATE $from->like->$devs UNIQUE SET time.connected = time::now() ; ```

Query data flexibly with advanced expressions and graph queries.

```sql -- Select a nested array, and filter based on an attribute SELECT emails[WHERE active = true] FROM person;

-- Select all 1st, 2nd, and 3rd level people who this specific person record knows, or likes, as separate outputs SELECT ->knows->(? AS f1)->knows->(? AS f2)->(knows, likes AS e3 WHERE influencer = true)->(? AS f3) FROM person:tobie;

-- Select all person records (and their recipients), who have sent more than 5 emails SELECT *, ->sent->email->to->person FROM person WHERE count(->sent->email) > 5;

-- Select other products purchased by people who purchased this laptop SELECT <-purchased<-person->purchased->product FROM product:laptop;

-- Select products purchased by people in the last 3 weeks who have purchased the same products that we purchased SELECT ->purchased->product<-purchased<-person->(purchased WHERE created_at > time::now() - 3w)->product FROM person:tobie; ```

Store GeoJSON geographical data types, including points, lines and polygons.

sql UPDATE city:london SET centre = (-0.118092, 51.509865), boundary = { type: "Polygon", coordinates: [[ [-0.38314819, 51.37692386], [0.1785278, 51.37692386], [0.1785278, 51.61460570], [-0.38314819, 51.61460570], [-0.38314819, 51.37692386] ]] } ;

Write custom embedded logic using JavaScript functions.

sql CREATE film SET ratings = [ { rating: 6, user: user:bt8e39uh1ouhfm8ko8s0 }, { rating: 8, user: user:bsilfhu88j04rgs0ga70 }, ], featured = function() { return this.ratings.filter(r => { return r.rating >= 7; }).map(r => { return { ...r, rating: r.rating * 10 }; }); } ;

Specify granular access permissions for client and application access.

sql -- Specify access permissions for the 'post' table DEFINE TABLE post SCHEMALESS PERMISSIONS FOR select -- Published posts can be selected WHERE published = true -- A user can select all their own posts OR user = $auth.id FOR create, update -- A user can create or update their own posts WHERE user = $auth.id FOR delete -- A user can delete their own posts WHERE user = $auth.id -- Or an admin can delete any posts OR $auth.admin = true ;

  Community

Join our growing community around the world, for help, ideas, and discussions regarding SurrealDB.

  Contributing

We would    for you to get involved with SurrealDB development! If you wish to help, you can learn more about how you can contribute to this project in the contribution guide.

  Security

For security issues, kindly email us at security@surrealdb.com instead of posting a public issue on GitHub.

  License

Source code for SurrealDB is variously licensed under a number of different licenses. A copy of each license can be found in each repository.

For more information, see the licensing information.