TypeDB

TypeDB is a strongly-typed, polymorphic, and general-purpose transactional database built specifically for the demands of intelligent systems and complex domains. It solves the fundamental problem of modeling rich, interconnected data by allowing you to define the world as it truly is, eliminating the rigid constraints of traditional flat tables or binary graphs. TypeDB is the ideal data layer for agentic AI applications, cybersecurity, financial fraud detection, supply chain management, and any domain requiring deep data understanding and built-in integrity.

Key Features

TypeDB is designed around the PERA (Polymorphic-Entity-Relations-Attribute) model, which enables full expressiveness and strong data guarantees that traditional database models cannot achieve.

• ⚛️ TypeQL: The Logical Query Language TypeQL is a human-readable, machine-writable language built on modern programming paradigms, allowing you to embed logic directly into the database schema. Its clarity and structured nature make it highly effective for developing AI-driven applications and automation, ensuring your data is ready for the next wave of intelligent systems.
• 🔒 Strongly-Typed Schema and Data Integrity Similar to modern programming languages like TypeScript, TypeDB enforces strong typing beyond basic data values. You define entities (e.g., person, company), relations (e.g., employment), and attributes, ensuring every piece of inserted data conforms precisely to the required relationships and constraints. This guarantees data correctness, improves performance, and virtually eliminates common data safety issues.
• 🧩 Polymorphic Modeling and Subtyping Leverage polymorphism to build extensible and reusable data models. Entities and relations can define subtype hierarchies, meaning a function or query built to accept a general type (e.g., person) automatically works with all its subtypes (e.g., child). This capability significantly reduces maintenance and development costs by closing the persistent object-relational gap.
• 🚀 Expressive, Join-Free Querying With TypeDB, you write significantly less code to accomplish more complex tasks. You don’t have to specify how data joins; you simply state what you need. TypeDB automatically infers the valid connections based on your defined schema, delivering intuitive, shorter queries in a single database call, which dramatically accelerates development and reduces tech debt.
• ⚙️ Transactional Safety and Consistency TypeDB maintains tried-and-tested database principles, including full transactional support. Both data reads/writes and schema changes occur in a safe, atomic manner. Schema migrations are validated upon commit, ensuring you move between correct states and maintaining confidence even as your data model evolves.

Use Cases

TypeDB’s unique modeling capabilities make it powerful across complex, interconnected domains:

1. Cyber Threat Intelligence (CTI) and Security: Model the complex relationships between users, devices, IPs, threats, and indicators of compromise (IOCs). By using TypeDB's relation-centric schema, analysts can easily query for transitive relationships and complex attack patterns across the entire network graph, moving far beyond simple point-to-point connections to identify sophisticated, multi-stage threats.
2. Financial Services and Fraud Detection: Establish strict data integrity requirements and complex relationship constraints that are enforced at the database level. TypeDB enables the modeling of multi-party financial transactions and complex ownership structures, allowing the system to automatically flag deviations from expected patterns or violations of cardinality rules, providing built-in guardrails against fraud.
3. Powering Agentic AI Systems: Provide large language models (LLMs) and autonomous agents with a highly structured, logical, and machine-writable knowledge base. Because TypeQL is intuitive and built to embed logic, AI systems can reliably read, write, and reason over the data, ensuring the agents operate with the highest level of data fidelity and understanding.

Why Choose TypeDB?

TypeDB delivers simplicity, safety, and expressivity by fundamentally shifting how you approach data management, overcoming limitations inherent in traditional database models.

• Eliminate the Object-Relational Impedance Mismatch: TypeDB’s native support for polymorphism and subtyping means that the data model in the database aligns intuitively with object models used in modern application code. You no longer need a separate semantic layer, as the types defined in TypeDB's schema serve as the semantic layer by themselves.
• Data Logic Belongs in the Schema, Not the Query: By leveraging the PERA model, TypeDB pushes data constraints, relationships, and logic into the schema definition. This approach eliminates a significant amount of the technical debt that arises when complex validation and relationship logic must be constantly re-verified and updated within application queries.
• Designed for Evolution: Complex domains are rarely static. TypeDB supports safe, concurrent schema evolution. You can mutate both schema and data within a single transaction, complete with full commit-time validation. This ensures that as your understanding of the domain grows, your database can adapt safely and efficiently, minimizing downtime and risk.

Conclusion

TypeDB provides the expressive power and structural clarity required to build the next generation of intelligent, data-intensive applications. By moving beyond relational and binary graph limitations, you gain a database that simplifies complex modeling, enforces correctness, and accelerates development time.