DVC

Data Version Control (DVC) offers a Git-like experience to manage data, models, and experiments in data science and machine learning projects. It integrates seamlessly with your existing workflows, bringing software engineering best practices to data management.

DVC is free and open-source, making it accessible for both individual data scientists and large enterprise teams. It provides a scalable infrastructure suitable for complex AI operations and big data environments, supporting petabyte-scale data lakes.

For individual projects, DVC serves as an easy-to-use Git extension, allowing data scientists to apply version control to their workflows with minimal overhead. Enterprise teams benefit from a robust control plane designed for AI-ready data, ensuring efficient data management across large-scale operations.

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