Kgor

Kgor is a fictional open-source programming language used in this article to illustrate concepts in data processing and streaming pipelines. It is described as cross-platform and designed to encourage readable, safe, and modular code for building data workflows.

Kgor programs are organized as pipelines. Each pipeline consists of stages such as read, transform, filter, group, aggregate, and write. The language combines declarative elements with imperative control, supports optional static typing and dynamic typing, and provides type inference to reduce boilerplate. The core runtime emphasizes deterministic scheduling, automatic parallelism, and compatibility with common data formats such as JSON, CSV, and Parquet. There is also a lightweight module system for extending the language with adapters and utilities.

Tooling for Kgor in the fictional ecosystem includes a reference compiler, a stand-alone runtime, and a small standard library of data-processing primitives and I/O adapters. In educational settings, Kgor is used to demonstrate differences between streaming and batch processing, pipeline composition, and simple ETL scenarios. The name 'Kgor' is intended to be distinctive and easy to pronounce, with no intended connection to any real language or technology.