SurrealDB

SurrealDB is a revolutionary multi-model database designed to be the ultimate backend for AI agents and modern applications.

It unifies diverse data models—including document, graph, time-series, relational, geospatial, and key-value—into a single, cohesive platform.

This eliminates the complexity and cost of managing multiple specialized databases, allowing developers to focus on building intelligent applications.

SurrealDB's AI-native data layer is purpose-built for context-aware applications, featuring integrated vector, full-text, and hybrid search capabilities that blend semantic, graph, and relational intelligence.

Its architecture is engineered for unmatched scalability, from edge devices to global cloud infrastructure, ensuring your application can grow without limitations.

With built-in real-time subscriptions and event triggers, SurrealDB powers reactive, real-time experiences effortlessly.

Security is paramount, with robust features like RBAC, record-level permissions, and compliance certifications (SOC 2, ISO 27001) ensuring your data is protected by design.

Whether you're building generative AI apps, knowledge graphs, or real-time systems, SurrealDB provides the foundation for innovation.### Key Capabilities- Unified Multi-Model Database: Natively combines document, graph, time-series, relational, geospatial, and key-value data models, simplifying data management and reducing complexity.- AI-Native Data Layer: Purpose-built for AI, offering integrated vector, full-text, and hybrid search to enhance context-aware applications and LLM integrations.- : Scales horizontally from a single node to petabyte-scale clusters without sharding, ensuring performance as your data grows.- : Flexible deployment options including edge, self-hosted, and cloud environments, providing maximum control and accessibility.- : Built-in real-time subscriptions and event triggers enable the creation of dynamic, reactive user experiences.- : Comprehensive security features including RBAC, fine-grained access controls, and compliance certifications protect your data.### Perfect ForDevelopers and organizations looking to build scalable, intelligent applications, especially those leveraging AI, machine learning, and complex data relationships.

It's ideal for consolidating backend infrastructure, reducing costs, and accelerating development cycles.