Datafold is expanding its data diffing capabilities to address the increasing challenges data teams face in managing and validating diverse data formats and storage solutions. This expansion includes new features such as file diffing and MongoDB integration, which allow organizations to maintain data quality assurance across various data assets, whether in relational databases, files, or NoSQL systems. File diffing supports comparisons between cloud-stored files and databases, facilitating the validation of data consistency and quality even when dealing with external vendor files. The MongoDB integration enables comparisons and validation of MongoDB collections across different environments, presenting results in a flat, unnested table format, making it easier to manage semi-structured data. These enhancements empower data teams to ensure data pipeline reliability and successful data movement, addressing the growing complexity of data management in today's diverse technological landscape.