TypeDB Blog
Learn from our journey building TypeDB & TypeQL.
What it means to be more strongly-typed than SQL and NoSQL
Unlike existing database paradigms, TypeDB is designed based on modern ideas from type theory. If you want to learn how this works in detail, you may be interested in our article on type-theoretic databases in our learning section. In this post, we will discuss a crucial difference between TypeDB and other database paradigms, which is a direct result of these type-theoretic foundations of TypeDB. But don’t worry, we won’t assume any familiarity with type theory and will keep our discussion as high level as possible!
Dr. Christoph Dorn
The need for subtyping and polymorphism in databases
In this article, we’ll explain how a new revolution in databases overcomes the limitations of relational, document and graph databases by using subtyping and polymorphism — core object-oriented (OO) programming principles — to create higher abstractions and achieve greater expressivity.
Shane Johnson
Modeling collections in databases: Relational/SQL vs TypeDB
Databases excel at handling traditional data types such as numbers and strings, but they lack robust mechanisms for working with complex data structures like collections (e.g., lists and sets). In this blog post, we explore the difficulties encountered when storing data as collections in databases.
Sullivan Daly
Inheritance and polymorphism: where the cracks in SQL begin to show
Polymorphism can be one of the most challenging things to model in a database. Not only do you want your database to be performant, you also want it to feel intuitive so that queries you write make sense and are simple to maintain, and polymorphic data can easily mess up that balance if you don’t take the time to consider how best to implement it.
Dr. James Whiteside
What is a Knowledge Graph?
Ever since Google popularised the term in 2012, knowledge graphs have seen massive amounts of public interest. From Fortune 500 companies to universities, organisations all over the world are investing large resources into knowledge graphs.
Tomas Sabat
Inference in TypeDB
The Wikipedia interpretation of inference is “moving from premises to logical consequences”. This definition is so broad that we can actually identify two distinct types of inference TypeDB does: Rule inference and type inference. With TypeQL, we’ve combined both types of inference into a powerful query language. This forms the basis of a paradigm-shifting database that puts elegant modelling at your fingertips.
Joshua Send