Tengu DataOps platform vs. Cinchy
A side-by-side comparison based on G2 review data.
| Metric | Tengu DataOps platform | Cinchy |
|---|---|---|
| Overall rating | 4.3 | 4.8 |
| Review count | 16 | 19 |
| Ease of use | 8.8 | 9.4 |
| Ease of setup | 9.3 | 7.6 |
| Quality of support | 8.9 | 9.7 |
| Meets requirements | 8.7 | 9.0 |
| NPS | 62.5 | 89.473684 |
| Small Business | 37.5% | 15.8% |
| Mid-Market | 50.0% | 47.4% |
| Enterprise | 12.5% | 36.8% |
| Total page views | 58 | 73 |
| Total LLM citations | 170 | 97 |
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.
Cinchy
With the Cinchy Data Collaboration platform liberate data from applications and control and connect as data products in a network, eliminating the need for future data integration. Build a more agile data ecosystem that makes change simple, rapidly accelerates business outcomes, and fosters collaborative intelligence across your enterprise. With Cinchy, cure the pains of integration to deliver projects at half the cost and time, improve data governance with universal data access controls, and provide data access to business users for self-serve reporting and analytics.