Tengu DataOps platform vs. ILUM
A side-by-side comparison based on G2 review data.
| Metric | Tengu DataOps platform | ILUM |
|---|---|---|
| Overall rating | 4.3 | 4.9 |
| Review count | 16 | 23 |
| Ease of use | 8.8 | 9.4 |
| Ease of setup | 9.3 | 9.4 |
| Quality of support | 8.9 | 9.6 |
| Meets requirements | 8.7 | 9.8 |
| NPS | 62.5 | 100 |
| Small Business | 37.5% | 13.0% |
| Mid-Market | 50.0% | 34.8% |
| Enterprise | 12.5% | 52.2% |
| Total page views | 58 | 215 |
| Total LLM citations | 170 | 553 |
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.
ILUM
Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards.
- Ease of Use
- Features
- Integrations
- Setup Ease
- Easy Integrations
- Efficiency