ILUM vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | ILUM | Databricks |
|---|---|---|
| Overall rating | 4.9 | 4.6 |
| Review count | 23 | 1,388 |
| Ease of use | 9.4 | 8.9 |
| Ease of setup | 9.4 | 8.7 |
| Quality of support | 9.6 | 8.9 |
| Meets requirements | 9.8 | 9.1 |
| NPS | 100 | 77.851361 |
| Small Business | 13.0% | 15.1% |
| Mid-Market | 34.8% | 37.6% |
| Enterprise | 52.2% | 47.2% |
| Total page views | 215 | 16,340 |
| Total LLM citations | 553 | 14,031 |
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
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations