Databricks vs DVC (Data Version Control)

Side-by-side comparison of Databricks and DVC (Data Version Control): pricing, features, API access, and community ratings.

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	Databricks The unified data, analytics, and AI platform trusted by over 60% of the Fortune 500 Visit	DVC (Data Version Control) Manage data the way code is managed — Git-like version control for AI/ML and data science. Visit
Category	Chat assistants	Chat assistants
Pricing	Paid	Freemium
Starting price
Free tier
Audience	All audiences	Technical
API available
Open source
Self-hostable
Model provider	Databricks (DBRX, MosaicML)
Founded	2013	2017
Headquarters	San Francisco, USA	San Francisco, USA
Key strengths	·Unified lakehouse architecture combining data lake and data warehouse ·Enterprise-grade AI/ML and GenAI development on proprietary data ·Serverless Postgres (Lakebase) integrated with lakehouse for AI agents ·Open governance via Unity Catalog across data, models, and dashboards	·Git-like versioning for datasets and ML models ·Open source with a large, active community ·Seamlessly integrates with existing Git workflows ·Supports petabyte-scale data lakes and object stores via lakeFS