Object-Relational Mapping (ORM) frameworks allow developers to interact with databases using an object-oriented paradigm, with SQLAlchemy being a prominent example for Python that facilitates the translation of Python objects into relational database schemas. The use of ORMs can streamline data modeling and improve maintainability, but schema changes can inadvertently impact downstream systems, particularly when there is a lack of visibility across different teams and tools. Foundational addresses these challenges by integrating with SQLAlchemy to provide automated data lineage and impact analysis, allowing developers to understand and manage schema changes effectively. Unlike Alembic, which is used for managing database migrations, SQLAlchemy serves as the primary source for database schemas, ensuring that all changes are captured and analyzed. Foundational's solution operates within a Git environment, making it easier for teams to implement data contracts and validate changes before they affect live data systems.