Datafold

Datafold is a comprehensive data quality platform designed to help organizations manage and validate their data effectively. It offers a range of tools and features that support data testing, migration validation, and column-level lineage analysis. One of its key capabilities is the ability to perform data diffs, which allow users to identify discrepancies between source and target databases. This feature supports various file formats, including CSV, Excel, and Parquet, making it versatile for different data types.

Datafold also introduces Monitors, which provide ongoing data quality checks through different types, such as Data Diff, Metric, Schema Change, and Data Test. These monitors can be configured via a user-friendly interface or programmatically using YAML files, offering flexibility for both technical and non-technical users. The platform supports integration with various tools and systems, including Tableau and Looker, enhancing visibility into data lineage and impact analysis.

In addition to its core features, Datafold offers a Data Migration Agent (DMA) that leverages AI to streamline data migrations. DMA automates SQL code translation and validation, ensuring parity between legacy and new systems. This capability significantly reduces manual effort and enhances the accuracy of migration processes. Overall, Datafold provides a robust suite of tools that help organizations maintain data integrity, optimize migration processes, and improve overall data quality.