Tengu DataOps platform vs. Collibra
A side-by-side comparison based on G2 review data.
| Metric | Tengu DataOps platform | Collibra |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 16 | 104 |
| Ease of use | 8.8 | 8.3 |
| Ease of setup | 9.3 | 8.1 |
| Quality of support | 8.9 | 8.4 |
| Meets requirements | 8.7 | 8.6 |
| NPS | 62.5 | 45.544554 |
| Small Business | 37.5% | 9.6% |
| Mid-Market | 50.0% | 18.3% |
| Enterprise | 12.5% | 72.1% |
| Total page views | 58 | 1,049 |
| Total LLM citations | 170 | 10,349 |
Tengu DataOps platform
TENGU originated in 2016 as a solution to automate non-value generating tasks and more quickly set up data architectures, so there would be more time to dedicate to gaining actionable insights. In 2020 TENGU became a fully functional DataOps platform with many more functions and capabilities. TENGU is a DataOps platform for data-driven companies, that enables them to improve the efficiency of data scientists, analysts and other profiles inside the company. It enables them to focus on business intelligence instead of data operations.
Collibra
Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying to accelerate data and AI use cases while ensuring compliance, but are struggling with fragmented governance and visibility across the whole hybrid data ecosystem. Collibra unifies governance for data and AI across every system, data source and user—to create safe autonomy and a foundation for scaling AI and data use cases.
- Features
- Data Management
- Ease of Use
- Integrations
- Data Governance
- Product Improvement