LIVE WEBINAR · SEP 22

End-to-End Lineage with Amazon SageMaker AI, MLflow & DVC

Data Version Control

Manage data the way code is managed. Using a Git-like model we bring software engineering best practices to data, AI/ML and data science teams
Data Version Control for AI/ML and Data Infrastructure
Free and open source
lakeFS Enterprise
Data Version Control Git Extension for Small Data Science Projects
Free and open source
Get VS Code extension
For enterprise AI and data

engineering teams
Highly scalable data version control infrastructure designed for complex AI operations and big data environments with petabyte-scale multimodal object stores and data lakes.
For individual data
scientists
The easy to use data version control Git extension for small data science projects. Apply data version control to your data science workflows with minimal overhead.

Sep-22: Virtual Meetup

Community Solution:

End-to-End Lineage with Amazon SageMaker Al, MLflow and DVC

Sandeep Raveesh

GenAI Specialist Solutions Architect

Paolo Di Francesco

Senior Solutions Architect

Manuwai Korber

AI/ML Specialist Solutions Architect

Empowering thousands of users and customers from startups to Fortune 500 companies

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From DVC to lakeFS: Zero-Copy Imports of Your Tracked Data
dvc-to-lakefs brings your DVC-tracked data into lakeFS with a zero-copy import — no re-uploading, no second copy. Get branches, commits, and merges at data-lake scale.
Itai Admi
Itai Admi
June 30, 2026
8 minutes read