Databricks vs. DVC
A side-by-side comparison based on G2 review data.
| Metric | Databricks | DVC |
|---|---|---|
| Overall rating | 4.6 | 4.7 |
| Review count | 1,388 | 11 |
| Ease of use | 8.9 | 7.3 |
| Ease of setup | 8.7 | 7.1 |
| Quality of support | 8.9 | 7.7 |
| Meets requirements | 9.1 | 9.0 |
| NPS | 77.851361 | 90.909091 |
| Small Business | 15.1% | 27.3% |
| Mid-Market | 37.6% | 54.5% |
| Enterprise | 47.2% | 18.2% |
| Total page views | 16,340 | 64 |
| Total LLM citations | 14,031 | 165 |
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations
DVC
DVC is an open-source, Git-based data science tool. Apply version control to machine learning development, make your repo the backbone of your project, and instill best practices across your team. Find more info at: https://dvc.org DVC has introduced a new open source tool for AI Data Analytics and Actionable GenAI Insights, that can curate vast amounts of unstructured data.