# Getting started The official documentation for SurrealDB, a multi-model database for modern applications. SurrealDB is a multi-model database designed to simplify building modern applications. It combines the capabilities of traditional relational databases, document stores, graph databases, and more into a single, unified platform. Whether you are building real-time applications, working with complex data relationships, or deploying AI-powered workflows, SurrealDB provides the tools you need without requiring multiple database systems. ## Learn The SurrealDB documentation contains a large number of guides, each designed to address different aspects of database management and application development. - [Querying](/docs/learn/querying.md) - Learn to query your data with SurrealQL, SDKs or GraphQL. - [Schema management](/docs/learn/schema-management.md) - Learn how to shape data in SurrealDB using tables, fields, indexes, events, functions, and more. - [Data models](/docs/learn/data-models.md) - Store and query document, graph, vector, time-series, and geospatial data with SurrealDB. - [Security](/docs/learn/security.md) - Learn how to strengthen your SurrealDB deployment with best security practices. - [Spectron](/docs/spectron.md) - Learn how to use Spectron, the memory context for AI agents. - [Extensions](/docs/learn/extensions.md) - Learn how to extend SurrealDB with custom modules and WASM plugins. ## Features SurrealDB is built around a rich feature set that supports a wide variety of application requirements. Rather than requiring you to stitch together separate systems for different data models or capabilities, SurrealDB provides them all within a single engine. - [Real-time queries](/docs/learn/querying/real-time/live-queries.md) - Subscribe to live queries and changefeeds for real-time data updates. - [Authentication](/docs/learn/security/authentication/overview.md) - Built-in authentication and access control with scoped permissions. - [Graph relationships](/docs/learn/data-models/graph/overview.md) - Model and traverse complex relationships using native graph edges. - [Vector search](/docs/learn/data-models/vector-search/overview.md) - Store embeddings and perform similarity searches for AI and RAG workflows. - [Data migrations](/docs/manage/schema-migration.md) - Evolve your database schema over time with SurrealKit. - [SurrealDB Studio](/docs/explore/studio.md) - A native UI to visually explore and manage your SurrealDB data. ## SDKs SurrealDB offers official SDKs for popular languages, supporting queries, authentication, real-time updates, and in some cases, embedded use. See your chosen language’s docs for setup and examples. - [Go](/docs/reference/golang.md) - [Java](/docs/reference/java.md) - [JavaScript](/docs/reference/javascript.md) - [Kotlin](/docs/reference/kotlin.md) - [Mojo](/docs/reference/mojo.md) - [.NET](/docs/reference/dotnet.md) - [PHP](/docs/reference/php.md) - [Python](/docs/reference/python.md) - [Rust](/docs/reference/rust.md) - [Swift](/docs/reference/swift.md) ## Deployment SurrealDB offers flexible deployment options to suit your infrastructure requirements. You can run the database as a fully managed cloud service, self-host it on your own servers, deploy it within containers, or embed it directly into your application. - [SurrealDB Cloud](/docs/manage/cloud.md) - Provision and manage cloud-hosted SurrealDB instances with automatic scaling and backups. - [Self-hosted](/docs/manage/self-hosted.md) - Install and run SurrealDB on your own infrastructure with full control over configuration. - [Embedding](/docs/build/embedding.md) - Embed SurrealDB directly into your application as an in-process database engine. - [Docker](/docs/running/docker.md) - Run SurrealDB in a Docker container for rapid setup and consistent environments. ## Integrations SurrealDB connects with third-party tools, data management platforms, AI frameworks, and embeddings providers. It also supports AI agent workflows, with guides for connecting agents to the database. - [Integrations](/docs/build/integrations.md) - Connect SurrealDB to third-party tools, AI frameworks, embeddings providers, and data management platforms. - [AI agents](/docs/build/ai-agents.md) - Build AI agent workflows that use SurrealDB for knowledge storage, retrieval, and state management. ## Developer reference The reference documentation provides comprehensive, detailed specifications for all SurrealDB interfaces. This includes the full SurrealQL query language with syntax definitions, as well as the command-line interface for managing SurrealDB instances and the HTTP-based REST API for programmatic access. - [SurrealQL](/docs/reference/query-language.md) - Complete query language reference covering statements, functions, data types, and operators. - [CLI tools](/docs/reference/cli.md) - Command-line interface reference for starting, managing, and interacting with SurrealDB. - [REST API](/docs/reference/rest-api.md) - HTTP API reference for querying and managing SurrealDB over REST endpoints. ## Tutorials and resources If you prefer learning through practical examples, the tutorials and demos section provides hands-on guides that walk you through common use cases and application patterns. The labs section offers experimental projects and community-contributed content for exploring SurrealDB in different contexts. - [Tutorials and demos](/docs/explore/tutorials.md) - Step-by-step guides and example projects covering common SurrealDB use cases. - [Labs](/docs/labs.md) - Experimental projects and community content for exploring SurrealDB capabilities.