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DVC (Iterative)

Open Source

About DVC (Iterative)

DVC is a version control system for data that uses a Git-like model to manage data, AI/ML, and data science projects.

Key Capabilities

  • Git-like data version control for AI/ML projects
  • Scalable infrastructure for petabyte-scale data lakes
  • Integration with existing data science workflows
  • Support for multimodal object stores
  • Lightweight Git extension for local workflows

Integrations

GitVS CodelakeFS

Related Buyer Guides

Independent evaluation frameworks for this category.

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AI Governance & Responsible AI
Evaluate IBM watsonx.governance, Credo AI, Microsoft Purview, ServiceNow, Holistic AI, Fiddler, Arthur, and Monitaur — and decide first whether your gap is governance and compliance or ML observability, because the EU AI Act and NIST AI RMF reward the platform wired into how models are built and run.
Computer Vision & Visual AI
Evaluate Google Vision/Vertex AI, AWS Rekognition, Azure AI Vision, Landing AI, Roboflow, Cognex, Encord, and Ultralytics — with the pretrained-API vs. custom-model and cloud vs. edge decisions, not a generic feature list, as the deciding criteria.

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Quick Facts

dvc.org
CategoryAI & ML Platforms
SubcategoryML Platforms & MLOps
PricingSubscription
DeploymentOpen Source
Target SizeEnterprise