DVC vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | DVC | Cloudera |
|---|---|---|
| Overall rating | 4.7 | 4.2 |
| Review count | 11 | 205 |
| Ease of use | 7.3 | 8.6 |
| Ease of setup | 7.1 | 8.4 |
| Quality of support | 7.7 | 8.4 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 90.909091 | 45.641026 |
| Small Business | 27.3% | 34.3% |
| Mid-Market | 54.5% | 27.5% |
| Enterprise | 18.2% | 38.2% |
| Total page views | 64 | 964 |
| Total LLM citations | 165 | 1,693 |
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.
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management