DVC AI

What is DVC AI?

DVC AI provides data version control for AI/ML teams using a Git-like model. It serves enterprise data infrastructure through lakeFS and individual data scientists through a local Git extension. The open-source DVC extension is available for small projects, while enterprise capabilities require contacting the vendor.

What are the features of DVC AI?

• Git-like data versioning

  Applies software engineering version control practices to data assets for AI/ML and data science teams.
• VS Code integration

  A free and open source extension that brings data version control into the VS Code editor.
• Scalable object storage support

  Designed for petabyte-scale multimodal object stores and data lakes in complex AI operations.
• End-to-end lineage tracking

  Supports dataset-level and record-level traceability when combined with tools like Amazon SageMaker AI and MLflow.

What are the use cases of DVC AI?

• Regulated industry compliance

  Record-level lineage enables individual record traceability required for healthcare compliance and audit capabilities.
• Small data science projects

  Individual data scientists apply version control to local workflows with minimal overhead using the Git extension.

DVC AI Pricing Information:

• DVC Git Extension

  Free and open source.
• lakeFS Team / Enterprise

  Pricing not stated; requires booking a demo.