Apache Storm vs. ILUM
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | ILUM |
|---|---|---|
| Overall rating | 3.7 | 4.9 |
| Review count | 12 | 23 |
| Ease of use | 6.6 | 9.4 |
| Ease of setup | 6.7 | 9.4 |
| Quality of support | 7.5 | 9.6 |
| Meets requirements | 8.0 | 9.8 |
| NPS | -8.333333 | 100 |
| Small Business | 50.0% | 13.0% |
| Mid-Market | 16.7% | 34.8% |
| Enterprise | 33.3% | 52.2% |
| Total page views | 20 | 215 |
| Total LLM citations | 12 | 553 |
Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.
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