ILUM vs. Dremio
A side-by-side comparison based on G2 review data.
| Metric | ILUM | Dremio |
|---|---|---|
| Overall rating | 4.9 | 4.6 |
| Review count | 23 | 71 |
| Ease of use | 9.4 | 9.3 |
| Ease of setup | 9.4 | 8.7 |
| Quality of support | 9.6 | 8.8 |
| Meets requirements | 9.8 | 8.9 |
| NPS | 100 | 76.923077 |
| Small Business | 13.0% | 11.3% |
| Mid-Market | 34.8% | 39.4% |
| Enterprise | 52.2% | 49.3% |
| Total page views | 215 | 429 |
| Total LLM citations | 553 | 2,089 |
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
Dremio
Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic-era, data engineering teams can’t manually tune performance for thousands of users and agents asking unpredictable questions every second.
- Ease of Use
- Integrations
- SQL Support
- Performance
- Setup Ease
- Speed