Extending Datalog with Analytics in LogicBlox

Nikolaos Vasiloglou

Abstract:

LogicBlox is a database product designed for enterprise software development, combining transactions and analytics. The underying data model is a relational database,
and the query language, LogiQL, is an extension of Datalog [13]. As such, LogiQL
features a simple and unified syntax for traditional relational manipulation as well as
deeper analytics. Moreover, its declarative nature allows for substantial static analysis
for optimizing evaluation schemes, parallelization, and incremental maintenance, and it
allows for sophisticated transactional management [11]. In this paper, we describe various extensions of Datalog for supporting prescriptive and predictive analytics. These extensions come in the form of mathematical optimization (mixed integer programming),
machine-learning capabilities, statistical relational models, and probabilistic programming. Some of these extensions are currently