Features

SurrealDB has been built from the ground up to be the ultimate database for developers who want to build tomorrow's applications. On this page you can find information regarding many of the features which are built into SurrealDB, alongside features coming in a future release.

ArchitecturePlatformData modelSurrealQLFunctionsPermissionsConnectivityToolingLibraries

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Architecture

Single-node (in-memory) Complete

SurrealDB can be configured to run in a single-node memory-only runtime, enabling high-performance querying and data analysis. This is suitable for data which fits inside the memory of a single machine.

Single-node (on-disk) Planned for 1.X

When data sizes are greater than the available memory on a single machine, on-disk storage can be used to enable larger data storage capabilities. Recently accessed data resides in memory with caching.

Distributed (multi-node) Future

For highly-available setups, SurrealDB can be run in a cluster using the RAFT consensus algorithm. The storage of the entire database must be less than the maximum possible storage of a single machine in the cluster.

Distributed (distributed kv-store) Complete

For highly-available and highly-scalable setups, SurrealDB can be run on top of a TiKV cluster, with the ability to horizontally scale to 100+ terabytes of data.

Platform

Multi-tenancy data separation Complete

Split data into namespaces and databases. There is no limit to the number of databases under each namespace, with the ability to switch between databases inside queries and transactions.

Schemafull or schemaless Complete

Store unstructured nested data with any arbritrary columns, or limit data stored to only specific columns or fields. Get started quickly without having to define every column, and move to schemafull when your data model is defined.

Multi-table, multi-row transactions Complete

As a fully ACID compliant database, SurrealDB allows you to run transactions across multiple-rows, and across multiple different tables. There is no limit to the length of time a transaction can run.

Versioned temporal tables Future

Versioned temporal tables enable the option to 'go back in time' when querying your data. See how data looked before changes were made, or restore to a particular point-in-time.

Table fields Complete

When a table is defined as schemafull, only data allowed by defined fields will be stored. Table fields can be nested, and can be limited to a certain data type. VALUE clauses can be used to ensure a default value is always specified if no data is entered.

Table events Complete

Table events can be triggered after any change or modification to the data in a record. Each trigger is able to see the $before and $after value of the record, enabling advanced custom logic with each trigger.

Table indexes Complete

Table indexes improve data querying performance, and also allow for UNIQUE values in a table. Table indexes can be specified for a column, multiple columns, and have support for all nested fields including arrays and objects.

-- Specify a field on the user table
DEFINE FIELD email ON TABLE user TYPE string ASSERT is::email($value);

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

-- 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'
);

Table constraints Complete

Each defined table field supports an ASSERT clause which acts as a constraint on the data. This clause enables advanced SurrealQL statements which can ensure that the $value entered is within certain parameters. Each clause is also able to see the $before and $after value of the record, enabling advanced custom logic with each trigger.

-- Specify a field on the user table
DEFINE FIELD countrycode ON user TYPE string
	-- Ensure country code is ISO-3166
	ASSERT $value IS NOT EMPTY AND $value = /[A-Z]{3}/
	-- Set a default value if empty
	VALUE $value OR 'GBR'
;

Full text indexing and filtering Future

The ability to define full-text indexes, with functionality to search through the full-text index on a table. Using a Apache Lucene query syntax, searches support field queries, wildcard searches, fuzzy searches, proximity searches, relevance matching, boolean operators, subquery grouping, and field grouping.

-- Define a fulltext index for 4 fields on the user table
DEFINE INDEX fulltext ON user
	FULLTEXT
	COLUMNS age, name, email, profile
;

-- Select all users who match a full text search query
SELECT * FROM user
	WHERE search('profile:"SurrealDB" OR name:"Tobie"')
;

Pre-defined aggregate analytics views Planned for 1.X

Aggregate views let you pre-compute analytics queries as data is written to SurrealDB. Similarly to an index, a table view lets you select, aggregate, group, and order data, with support for moving averages, time-based windowing, and attribute-based counting. Pre-defined aggregate views are efficient and performant, with only a single record modification being made for every write.

-- Drop all writes to the reading table. We don't need every reading.
DEFINE TABLE reading DROP;

-- Define a table as a view which aggregates data from the reading table
DEFINE TABLE temperatures_by_month AS
	SELECT
		count() AS total,
		time::month(recorded_at) AS month,
		math::mean(temperature) AS average_temp
	FROM reading
	GROUP BY city
;

-- Add a new temperature reading with some basic attributes
CREATE reading SET
	temperature = 27.4,
	recorded_at = time::now(),
	city = 'London',
	location = (-0.118092, 51.509865)
;

Data model

Basic types Complete

Support for booleans, strings, and numerics is built in by default. Numeric values default to decimal based numbers, but can be stored as int or float values for 64 bit integer or 64 bit floating point precision.

Empty values Complete

Values can be NONE, or NULL. A field which is NONE does not have any data stored, while NULL values are values which are entered but empty. The EMPTY query operator can be used to match both types.

Arrays Complete

SurrealDB has native support for arrays, with no limit to the depth of nesting within arrays. Arrays can contain any other data value.

Objects Complete

Embedded object types are an integral feature of SurrealDB, with no limit to the depth of nesting for objects.

Durations Complete

Any duration from nanoseconds to weeks can be stored and used for calculations. Durations can be added to datetimes, and to other durations.

Datetimes Complete

Suppport for dates and datetimes in ISO-8601 format are supported. All dates are converted and stored in the UTC timezone.

Geometries Complete

SurrealDB makes working with GeoJSON easy, with support for Point, Line, Polygon, MultiPoint, MultiLine, MultiPolygon, and Collection values. SurrealQL automatically detects GeoJSON objects converting them into a single data type.

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]
		]]
	}
;

Futures Complete

Values which should be computed only when outputting data, can be stored as futures. These values are stored in SurrealDB as SurrealQL code, and are calculated only when output as part of a SELECT clause.

Casting Complete

In SurrealDB, all data values are strongly typed. Values can be cast and converted to other types using specific casting operators. These include bool, int, float, string, number, decimal, datetime, and duration casts.

UPDATE product SET
	name = "SurrealDB",
	launch_at = "2021-11-01",
	countdown = fn::future -> { launch_at - time::now() }
;
UPDATE person SET
	waist = <int> "34.59",
	height = <float> 201,
	score = <decimal> 0.3 + 0.3 + 0.3 + 0.1
;

SurrealQL

SELECT, CREATE, UPDATE, DELETE statements Complete

Manipulation and querying of data in SurrealQL is done using the SELECT, CREATE, UPDATE, and DELETE methods. These enable selecting or modifying individual records, or whole tables. Each statement supports multiple different tables or record types at once.

-- Create a new article record with a specific id
CREATE article:surreal SET name = "SurrealDB: The next generation database";

-- Update the article record, and add a new field
UPDATE article:surreal SET time.created = time::now();

-- Select all matching articles
SELECT * FROM article, post WHERE name CONTAINS 'SurrealDB';

-- Delete the article
DELETE article:surreal;

RELATE statements Complete

The RELATE statement adds graph edges between records in SurrealDB. It follows the convention of vertex -> edge -> vertex or noun -> verb -> noun, enabling the addition of metadata to the edge record.

INSERT statements Complete

The INSERT statement resembles the traditional SQL statement, enabling users to get started quickly. It supports the creation of records using a VALUES clause, or by specifying the record data as an object.

-- 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()
;
INSERT INTO company {
	name: 'SurrealDB',
	founded: "2021-09-10",
	founders: [person:tobie, person:jaime],
	tags: ['big data', 'database']
};

INSERT IGNORE INTO company (name, founded)
	VALUES ('SurrealDB', '2021-09-10')
	ON DUPLICATE KEY UPDATE tags += 'developer tools'
;

Parameters Complete

Parameters can be used to store values or result sets, and can be used as stored parameters in client code.

Subqueries Complete

Recursive subqueries are useful for advanced querying or modification of values, whilst simplifying the overall query.

Nested field queries Complete

In SurrealQL any nested array or object value can be accessed and manipulated using traditional dot notation ., or array notation [].

Maths operators Complete

Maths operators can be used to perform complex mathematical calculations directly in SurrealQL.

Geospatial operators Complete

Geospatial operators enable geospatial containment and intersection operators on geospatial types.

Set operators Complete

Advanced set operators can be used to detect whether one or multiple values are included within an array. Fuzzy matching and regex matching can also be used for advanced filtering.

-- Use mathematical operators to calculate value
SELECT * FROM temperature WHERE (celsius * 1.8) + 32 > 86.0;

-- Use geospatial operator to detect polygon containment
SELECT * FROM restaurant WHERE location INSIDE {
	type: "Polygon",
	coordinates: [[
		[-0.38314819, 51.37692386], [0.1785278, 51.37692386],
		[0.1785278, 51.61460570], [-0.38314819, 51.61460570],
		[-0.38314819, 51.37692386]
	]]
};

-- Select all people whose tags contain "tag1" OR "tag2"
SELECT * FROM person WHERE tags CONTAINS ANY ["tag1", "tag2"];

-- Select all people who have any email address ending in 'gmail.com'
SELECT * FROM person WHERE emails.*.value ?= /gmail.com$/;

Expressions Complete

SurrealQL supports fetching data using dot notation ., array notation [], and graph semantics ->. SurrealQL enables records to link to other records and traverses all embedded links or graph connections as desired. When traversing and fetching remote records SurrealQL enables advanced filtering using traditional WHERE clauses.

-- 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;

IDE language support Future

SurrealDB aims to include official language highlighting packages for Atom, Sublime Text, Visual Studio Code, and Vim.

Language Server Protocol Future

SurrealDB will support the Language Server Protocol which will help with code and query completion, and error highlighting for SurrealQL.

Learning fields Future

Learning fields bring machine-learning based decision-making directly into SurrealDB. When a value is not entered directly, then the field can be automatically calculated based on the machine learning analysis of other specified columns or fields.

-- Add a field which is based on other fields when a value is not specified
DEFINE FIELD won ON opportunity TYPE boolean
	LEARN FROM
		confidence,
		person.tags,
		person->sent->email.body
;

-- We are specifying the 'won' field, so it will use this to learn
CREATE opportunity SET won = true, confidence = 7, person = person:valeria;

-- We are specifying the 'won' field, so it will use this to learn
CREATE opportunity SET won = false, confidence = 3, person = person:jonathan;

-- Here the 'won' field is calculated with machine learning
CREATE opportunity SET confidence = 6, person = person:steven;

Functions

Array functions Complete

Functions for manipulation, joining, and diffing of arrays are built in to SurrealDB as standard.

Http functions Complete

HTTP functions can be used for remote trigger events and webhook functionality.

Math functions Complete

Math functions can be used for complex statistical analysis of numbers and sets of numbers.

String functions Complete

Functions for string manipulation enable modification and processing of strings.

Parsing functions Complete

Parsing functions can be used for parsing and extracting individual parts or urls, emails, and domains.

Rand functions Complete

Random generation functions can be used to generate random values, numbers, strings, UUIDs, and datetimes.

Geo functions Complete

Geospatial functions can be used for converting between geohash values, and for calculating the distance, bearing, and area of GeoJSON data types.

Time functions Complete

Time functions can be used to manipulate dates and times - with support for rounding, and extracting specific parts of datetimes.

SELECT * FROM geo::hash::encode( (-0.118092, 51.509865) );
SELECT time::floor(created_at, 1w) FROM user;

Count functions Complete

SurrealDB supports general count functionality for counting total values, or for aggregate grouping. It's also possible to count only those expressions which result in a truthy value.

Validation functions Complete

Validation functions can be used to determine that field values match a certain pattern including hexadecimal, alphanumeric, ascii, numeric, or email addresses.

SELECT count(age > 18) FROM user;
SELECT email, is::email(email) AS valid FROM user;

Embedded JavaScript functions Complete

Javascript functions can be used for more complex functions and triggers. Each Javascript function iteration runs with its own context isolation - with the current record data passed in as the execution context or this value.

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

Permissions

Root access Complete

Root access enables full data access for all data in SurrealDB. Root access can be limited to specific IPv4 or IPv6 IP addresses.

Namespace access Complete

Namespace access enables full data access for all databases under a specific namespace. This access level is controlled using custom defined usernames and passwords.

Database access Complete

Database access enables full data access to a specific database under a specific namespace. This access level is controlled using custom defined usernames and passwords.

Scope access Complete

Scope access is the powerful functionality which enables SurrealDB to oeprate as a web database. Flexibile authentication and access rules enable fine-grained access to tables and fields with the highest security, whilst ensuring that performance is affected as little as possible.

3rd party authentication Complete

If authentication with a 3rd party 0Auth provider is desired, specific tokens can be used for authentication with SurrealDB. ES256, ES384, ES512, HS256, HS384, HS512, PS256, PS384, PS512, RS256, RS384, and RS512 algorithms are supported.

-- Enable scope authentication directly in SurrealDB
DEFINE SCOPE account SESSION 24h
	SIGNUP AS (CREATE user SET email=$email, pass=bcrypt.generate($pass))
	SIGNIN AS (SELECT * FROM user WHERE email=$email AND bcrypt.compare(pass, $pass))
;

-- Enable authentication using a 3rd party provider
DEFINE TOKEN auth0 ON SCOPE account TYPE HS512 VALUE "-----BEGIN PUBLIC KEY----- MIGfMA0G...";
// Signin and retrieve a JSON Web Token
let jwt = fetch('https://api.surrealdb.com/signup', {
	method: 'POST',
	headers: {
		'Content-Type': 'application/json',
		'NS': 'google', // Specify the namespace
		'DB': 'gmail', // Specify the database
    },
	body: JSON.stringify({
		email: 'tobie@surrealdb.com',
		pass: 'a85b19*1@jnta0$b&!'
	}),
});

Table permissions Complete

Fine-grained table permissions can be used to prevent users from accessing data which they shouldn't see. Independent permissions for selecting, creating, updating, and deleting data are supported, ensuring fine-grained control over all data in SurrealDB.

-- 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
;

Connectivity

REST API Complete

All tables and data can be queried using a traditional Key-Value REST API. In addition, SurrealQL statements can be submitted to the REST API for custom query logic.

## Execute a SurrealQL query
localhost % curl -X POST https://api.surrealdb.com/sql
## Interact with a table
localhost % curl -X GET https://api.surrealdb.com/key/user
localhost % curl -X POST https://api.surrealdb.com/key/user
localhost % curl -X DELETE https://api.surrealdb.com/key/user
## Interact with a record
localhost % curl -X GET https://api.surrealdb.com/key/user/tobie
localhost % curl -X PUT https://api.surrealdb.com/key/user/tobie
localhost % curl -X POST https://api.surrealdb.com/key/user/tobie
localhost % curl -X PATCH https://api.surrealdb.com/key/user/tobie
localhost % curl -X DELETE https://api.surrealdb.com/key/user/tobie

SurrealQL over WebSocket Complete

SurrealQL querying and data modification is supported over WebSockets for bi-directional communication, and real-time updates.

JSON-RPC over WebSocket Complete

Querying and data modification is available using JSON-RPC over WebSockets, enabling easier implementation of 3rd party libraries.

GraphQL querying Future

Support for querying all data using GraphQL, with embedded and remote record fetching.

GraphQL mutations Future

Support for modifying and updating any data using GraphQL, depending on permissions.

GraphQL subscriptions Future

Support for subscribing to real-time data modification events, depending on permissions.

Tooling

Command-line tool Complete

The command-line tool can be used to export data as SurrealQL, import data as SurrealQL, and start a SurrealDB instance or cluster.

user@localhost % surreal

 .d8888b.                                             888 8888888b.  888888b.
d88P  Y88b                                            888 888  "Y88b 888  "88b
Y88b.                                                 888 888    888 888  .88P
 "Y888b.   888  888 888d888 888d888  .d88b.   8888b.  888 888    888 8888888K.
    "Y88b. 888  888 888P"   888P"   d8P  Y8b     "88b 888 888    888 888  "Y88b
	  "888 888  888 888     888     88888888 .d888888 888 888    888 888    888
Y88b  d88P Y88b 888 888     888     Y8b.     888  888 888 888  .d88P 888   d88P
 "Y8888P"   "Y88888 888     888      "Y8888  "Y888888 888 8888888P"  8888888P"

SurrealDB command-line interface and server

Usage:
  surreal [command]

Available Commands:
  export      Export an existing database into a SQL script
  help        Help about any command
  import      Import a SQL script into an existing database
  start       Start the database and http server
  version     Output version information

Flags:
  -h, --help                help for surreal
      --log-format string   Specify log output format (text, json) (default "text")
      --log-level string    Specify log verbosity (default "error")
      --log-output string   Specify log output destination (default "stderr")

Use "surreal [command] --help" for more information about a command.

SQL export Complete

Export all data as SurrealQL from a SurrealDB database for backup purposes. This includes authentication scopes, tables, fields, events, indexes, and data.

SQL import Complete

Import SurrealQL into a SurrealDB database in order to restore from a backup. This includes authentication scopes, tables, fields, events, indexes, and data.

Data backup Future

Export all data from SurrealDB as raw binary data. This will also support incremental binary backups for efficient backing up of SurrealDB clusters.

Docker container Complete

In addition to binary releases, SurrealDB is packaged as a Docker container for easy setup and configuration. All configuration is done with the command-line options. The Docker container can be used to start a SurrealDB instance or cluster, or to import and export data.

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

User interface Planned for 1.X

An easy-to-use interface with support for table-based views, SurrealQL querying, embedded object editing, and graph visualisation. The interface will be embedded within every SurrealDB executable.

SurrealDB Application Interface

Web app Planned for 1.X

The interface will be available as a web app. This can be used for connecting to SurrealDB Cloud or a local / enterprise cluster.

macOS app Planned for 1.X

The interface will be available as an Electron application for macOS. This can be used for connecting to SurrealDB Cloud or a local / enterprise cluster.

Windows app Planned for 1.X

The interface will be available as an Electron application for Windows. This can be used for connecting to SurrealDB Cloud or a local / enterprise cluster.

Libraries

WebAssembly Beta

A real-time, fast SDK library for Javascript with bi-directional communication, and support for async / await programming styles.

Javascript Beta

A real-time, fast SDK library for Javascript with bi-directional communication, and support for async / await programming styles.

Golang Beta

A real-time, fast SDK library for Golang with bi-directional communication over WebSockets.

Node.js Beta

A real-time, fast SDK library for Node.js with bi-directional communication, and support for async / await programming styles.

Rust Beta

A real-time, fast SDK library for Rust with bi-directional communication over WebSockets.

Python Planned for 1.X

A real-time, fast SDK library for Python with bi-directional communication over WebSockets.

Deno Planned for 1.X

A real-time, fast SDK library for Deno with bi-directional communication, and support for async / await programming styles.

C Future

A SDK library for PHP, with suport for data modification and querying.

PHP Future

A SDK library for PHP, with suport for data modification and querying.

Swift Future

A real-time, fast SDK library for Swift with bi-directional communication.

Java Future

A real-time, fast SDK library for Java with bi-directional communication.

Ember.js Complete

A real-time, live-updating library for Ember.js, with authentication, model definition, embedded types, and remote fetching.

Angular.js Future

A real-time, live-updating library for Angular.js, with authentication, model definition, embedded types, and remote fetching.

React.js Complete

A real-time, live-updating library for React.js, with authentication, model definition, embedded types, and remote fetching.

Vue.js Future

A real-time, live-updating library for Vue.js, with authentication, model definition, embedded types, and remote fetching.

Apollo GraphQL Future

A real-time, live-updating library for Apollo GraphQL.