Azure Databricks vs. ILUM
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | ILUM |
|---|---|---|
| Overall rating | 4.5 | 4.9 |
| Review count | 240 | 23 |
| Ease of use | 8.9 | 9.4 |
| Ease of setup | 8.9 | 9.4 |
| Quality of support | 8.7 | 9.6 |
| Meets requirements | 9.0 | 9.8 |
| NPS | 68.691589 | 100 |
| Small Business | 25.1% | 13.0% |
| Mid-Market | 27.6% | 34.8% |
| Enterprise | 47.3% | 52.2% |
| Total page views | 404 | 215 |
| Total LLM citations | 1,981 | 553 |
Azure Databricks
Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala.
- Ease of Use
- Features
- Integrations
- Speed
- Scaling
- Analytics
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