TypeDB is a graph database that supports first‑class n‑ary relations and a strict type system, enabling AI applications to reason over complex knowledge graphs. It offers TypeQL, a declarative, strongly‑typed query language that lets developers define schemas, attributes, and relations with code‑like syntax, providing built‑in data integrity and inference capabilities for enterprise and research use cases.
Funding
Funding not disclosed
Founders
Product
Problem
Complex domains such as AI reasoning, cyber threat intelligence, and knowledge graph construction require a database that can represent multi‑entity relationships and enforce strict data integrity, but most graph databases only support binary edges and lack a robust type system, making modeling, querying, and inference cumbersome.
Solution
TypeDB offers a graph database built around first‑class n‑ary relations and a strict, schema‑driven type system. Its declarative query language, TypeQL, lets developers define entities, attributes, and relations with real constraints and inference rules, ensuring data consistency and enabling logical reasoning over the graph. The platform provides a web‑based Studio for visual schema exploration, query building, and collaboration, as well as console and driver SDKs for programmatic access. TypeDB can be deployed on‑premises, via a managed cloud service, or used as an open‑source community edition, allowing organizations to choose the hosting model that fits their security and scalability needs. By treating the knowledge graph as a typed programming language, TypeDB reduces query complexity, eliminates tech debt from schema changes, and supports AI applications that need to reason over richly structured data.
Target Audience
Primary users are AI developers, data engineers, and researchers building knowledge graphs for intelligent systems, as well as enterprises in cybersecurity, finance, robotics, and other domains that require complex relational modeling.
Features
- First‑class n‑ary relations enable modeling of complex multi‑entity interactions without flattening to binary edges
- Strict, inheritance‑aware type system enforces schema constraints and supports inference for logical reasoning
- TypeQL, a human‑readable declarative language, provides code‑like syntax for defining schemas and querying data
- Proprietary web Studio offers visual schema design, query construction, and collaborative exploration
- Multi‑environment deployment options: open‑source community edition, enterprise self‑hosted, and fully managed cloud service
- Driver SDKs for major programming languages facilitate integration with applications and AI pipelines