LakeFS

lakeFS is a data version control system designed to bridge the AI infrastructure gap by bringing software engineering best practices to data management. It provides a control plane for AI-ready data, enabling teams to manage the data lifecycle, provenance, and unified access for AI and data initiatives. Built on a scalable architecture, lakeFS allows users to test pipeline and model changes in isolation on production data without creating copies, instantly rollback from data incidents, and enforce data quality and compliance standards. The platform helps make training reproducible by tracking data used in experiments and model training, offering full visibility into data history with a built-in audit trail, and automatically satisfying model governance requirements. It also reduces data access friction by allowing users to work with any tool on remote data as if it were local, manage access permissions across all storage from one place, and keep GPUs busy without waiting for data. lakeFS integrates seamlessly with a wide range of object storage solutions, compute engines, ingest technologies, data formats, orchestration tools, and ML/AI stacks, making it a versatile solution for organizations looking to accelerate AI delivery, ensure reproducibility, and reduce data friction.