Feature stores have emerged as essential components in modern data science workflows, facilitating the management, sharing, and reuse of features across machine learning models and applications. As organizations strive to accelerate model development and deployment, feature stores offer a centralized repository for storing and serving features, enabling data scientists to focus on model building and experimentation.