A feature store is a centralized repository used in machine learning to store, manage, and serve features for model training and inference. It provides a unified interface for data scientists and engineers to access curated, reusable features derived from raw data, ensuring consistency between training and production environments. Feature stores typically support batch and real-time data pipelines, enabling efficient feature computation, storage, and retrieval at scale.