

DVC brings agility, reproducibility, and collaboration into your existing data science workflow

lakeFS provides a scalable data version control system that supports any file format, is available on-prem, public cloud, and private cloud. lakeFS allows you to version your data using git-like operations like branches to create isolated data versions, commits for reproducible points in time, and merges to incorporate changes seamlessly. Trusted by thousands of ML and data engineers, data scientists and DataOps teams across the globe, lakeFS enable sdata practitioners to scale their AI/ML projects across their entire lifecycle - from development to staging to production.


lakeFS is an open-source platform that delivers version control capabilities to your data lake. It allows you to manage your data in the same way you manage your code, providing tools to branch, merge, and commit data sets in a secure and scalable manner. This system is designed to work with existing data storage and processing tools, making it incredibly cohesive for integrating into current workflows without disruption.The platform's version control features are crucial for collaboration among data scientists and engineers, enabling better handling of machine learning models and analytical queries. lakeFS helps prevent conflicts between data changes, ensuring that various teams can work in parallel on the same data sets without risk of data corruption.You can view more about lakeFS and its features, or access documentation and community support, at their official website: [https://lakefs.io/](https://lakefs.io/).