# DVC (Data Version Control)

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/dvc-data-version-control
- **Dataset:** https://optimly.ai/brand/dvc-data-version-control.json
- **Markdown:** https://optimly.ai/brand/dvc-data-version-control/llms.txt
- **Official website:** https://dvc.org
- **Slug:** dvc-data-version-control
- **Categories:** ai-machine-learning, developer-tools

## Overview

- **Tagline:** DVC provides a Git-like experience for data science that remains storage-agnostic and does not require a central proprietary server.
Source: Brand's website (https://dvc.org) · 2026-10-04

- **Description:** DVC (Data Version Control) is an open-source command-line tool designed to help data scientists and machine learning engineers manage large datasets, make experiments reproducible, and version models. It functions as an extension to Git, allowing users to track data files and machine learning pipelines without storing the actual data in the Git repository.
Source: Brand's website (https://dvc.org) · 2026-10-04

## Offerings

- **Core capabilities:**
  - DVC (CLI)
  - DVC Studio
  - CML (Continuous Machine Learning)
  - MLEM
Source: Brand's website (https://dvc.org) · 2026-10-04

- **Pricing:** Open Source (Tool) / Subscription (Studio)
Source: Brand's website (https://dvc.org) · 2026-10-04

## Audience

- **Target industry:** Data Scientists, ML Engineers, DevOps, Enterprise AI teams
Source: Brand's website (https://dvc.org) · 2026-10-04

## Landscape

- **Competitors:**
  - Pachyderm
  - Hopsworks Lakehouse
  - Databricks (Delta Lake)
  - Weights & Biases (Artifacts)
  - lakeFS
Source: Brand's website (https://dvc.org) · 2026-10-04

Page last updated 2026-10-17.