LightGBM is a gradient boosting framework that uses tree-based learning algorithms. It is designed to be distributed and efficient, has fast training, low memory usage, supports parallel, distributed, and GPU training, and is capable of handling large-scale data. With ZenML's LightGBM integration, you can load, train, and deploy XGBoost models within your LightGBM pipelines.