Modern organizations face the challenge of managing complex and voluminous data while meeting high reliability expectations, necessitating tools for monitoring and controlling data quality similar to those used in software engineering. Datafold aims to enhance the productivity of data professionals by providing visibility into data assets and automating time-consuming tasks. One of its key features, Data Diff, allows data developers to quickly verify changes in data pipelines, automating a traditionally high-risk workflow. Integrating with dbt Cloud, Datafold offers features such as Data Diff, a Data Catalog, and column-level lineage mapping, which improve data pipeline visibility and efficiency. This integration empowers data teams to optimize their workflows without compromising data quality, ultimately reducing incident response times and improving overall data management.