People are familiar with programming languages such as Java, Ruby, and C++, but not everyone knows a lot about Datalog. Here’s a quick guide to one of the oldest logical programming languages in the world.
Designed for Deductive Databases
First and foremost, Datalog is part of the Prolog logic programming language that’s related to artificial intelligence (AI). What’s unique about Prolog is that it relies on the expression of relations using facts and rules. Afterward, a query is run to begin computing.
So what is Datalog? Since it has its roots in logic programming like Prolog, this language is utilized for deductive databases — a system that identifies more facts using the rules and facts stored in it. Such a database is essential for handling massive datasets, which is a hot topic thanks to big data.
Distinctive Aspects of Datalog
Prolog and Datalog are both logic programming languages, but there are discernable differences. For one, a Datalog program allows developers to declare statements in whatever order they prefer. Datalog is completely declarative unlike Prolog since its queries undergo termination when used on finite sets.
Furthermore, Datalog has strict arrangement rules a developer must follow if they wish to use operations such as negation and recursion. However, a few extensions have changed the structure of Datalog. Using them allows the language to permit aggregate functions and object-oriented coding.
Recent Applications of Datalog
During the last few decades of the 20th century, developers had a strong interest in Datalog. But while they saw great potential in this programming language, there was simply no applicable software to make it worthwhile. This made Datalog lose relevance for decades until new technologies gave it a second life.
In particular, the field of data integration benefits a lot from Datalog. Data comes from a variety of sources, so organizing them can be problematic. Datalog helps to collect all the data and present them in a clear manner to people in scientific and business communities.
Program analysis also uses Datalog to check the behavior of computer software. The logic programming language assesses apps in terms of safety, alertness, and stability. In other words, program analysis concerns itself optimizing software and ensuring that their output is always correct.
Furthermore, Datalog is seen as a key tool for the development of cloud computing. Consumers and businesses alike benefit from cloud technology. It saves them physical space and allows service to run online with the least amount of management.
Datalog is an impressive programing language that deserves a second look from developers. Apart from answering queries such as “is my VPN encrypted?” and “how can I overcome a firewall?”, cybersecurity professionals can look into Datalog to develop better security and analysis methods.