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Our perspective\nin this area is informed by over twenty years of experience building dozens of\nmission-critical enterprise applications that are in use by hundreds of large\nenterprises across industries such as retail, telecommunications, banking, and\ngovernment. We designed and built LogicBlox to be the system we wished we had\nwhen developing those applications. In this paper, we discuss the design\nconsiderations behind the LogicBlox system and give an overview of its\nimplementation, highlighting innovative aspects. 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Design and Implementation of the LogicBlox System · RelationalAI
Check out highlights of RelationalAI at Snowflake's Data Cloud Summit 2024!
The LogicBlox system reduced the complexity of software development for modern
applications which enhance and automate decision-making and enable their users
to evolve their capabilities via a "self-service" model.
Authors: Molham Aref, Balder ten Cate, Todd J. Green, Benny Kimelfeld, Dan
Olteanu, Emir Pasalic, Todd L. Veldhuizen, Geoffrey Washburn. 2015.
In Proceedings of the 2015 ACM SIGMOD International Conference on Management of
Data (SIGMOD ‘15)
The LogicBlox system aims to reduce the complexity of software development for
modern applications which enhance and automate decision-making and enable their
users to evolve their capabilities via a “self-service” model. Our perspective
in this area is informed by over twenty years of experience building dozens of
mission-critical enterprise applications that are in use by hundreds of large
enterprises across industries such as retail, telecommunications, banking, and
government. We designed and built LogicBlox to be the system we wished we had
when developing those applications. In this paper, we discuss the design
considerations behind the LogicBlox system and give an overview of its
implementation, highlighting innovative aspects. These include: LogiQL, a
unified and declarative language based on Datalog; the use of purely functional
data structures; novel join processing strategies; advanced incremental
maintenance and live programming facilities; a novel concurrency control scheme;
and built-in support for prescriptive and predictive analytics.