OpenMLDB is a machine learning database purpose-built to solve feature consistency challenges between offline training and online inference. It provides a feature platform that enables feature engineering, feature extraction, and feature serving with consistent results across batch and real-time workloads. The system supports both batch and streaming data sources and is designed to be used as part of MLOps pipelines for feature operations.