A principled way to transform data

Open-source CQL and its integrated development environment (IDE) performs data-related tasks — such as querying, combining, migrating, and evolving databases — using category theory, a branch of mathematics that has revolutionized several areas of computer science. Open-source CQL is production-ready for single-node in-memory data processing workloads, such as integrating data for data science. It is being commercialized by Conexus AI; for inquiries, contact Ryan Wisnesky.

Value Proposition

Key Features

• Flexible I/O: data can be imported into and exported out of CQL by JDBC-SQL, CSV, and more.
• Visualization: CQL schemas, databases, etc. can be displayed graphically.
• Rich data integrity constraints: CQL schemas contain entities, attributes, and foreign keys - as well as equations between them. One use of equations is for denormalization without the need to manually enforce the consistency of redundant data.
• Computational schemas: user-defined functions are part of CQL schemas and can be specified using java, javascript, or purely equationally. CQL's theorem prover can reason about user-defined functions and how they relate to data integrity constraints.
• More principled than SQL: relational concepts such as foreign keys re-appear, in a more principled form, in CQL. And CQL provides primitives that SQL lacks.
• 100% java. User-defined functions can be written in java or javascript, and a deep embedding of CQL into Haskell, in collaboration with Statebox, is under development.
• Stateless. CQL is not a database management system: it neither stores nor updates data. It is a canonical functional programming language and IDE whose scalability is similar to that of SQL and chase engines.

Powered by Kan extensions / Silmarils / applied category theory. CQL provides a reference implementation of David Spivak's ologs (ontology logs).

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