DVC vs. Dataiku
A side-by-side comparison based on G2 review data.
| Metric | DVC | Dataiku |
|---|---|---|
| Overall rating | 4.7 | 4.4 |
| Review count | 11 | 267 |
| Ease of use | 7.3 | 8.8 |
| Ease of setup | 7.1 | 8.4 |
| Quality of support | 7.7 | 8.7 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 90.909091 | 58.267717 |
| Small Business | 27.3% | 18.6% |
| Mid-Market | 54.5% | 22.4% |
| Enterprise | 18.2% | 58.9% |
| Total page views | 64 | 1,763 |
| Total LLM citations | 165 | 16,600 |
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.
Dataiku
Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI.
- Features
- Ease of Use
- Usability
- Easy Integrations
- Productivity Improvement
- Collaboration