A Feature Store is a centralized repository that stores and manages features used in machine learning models. Features are individual measurable properties or characteristics of the data, such as age, income, or product ratings. By organizing these features, a Feature Store helps data scientists and engineers efficiently access, share, and reuse them across different projects, improving collaboration and consistency. Feature Stores also facilitate the process of feature engineering, which involves transforming raw data into meaningful inputs for models. They often include tools for versioning, monitoring, and serving features in real-time, making it easier to deploy and maintain machine learning applications in production environments.