Azure Data Factory vs. ILUM
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | ILUM |
|---|---|---|
| Overall rating | 4.6 | 4.9 |
| Review count | 102 | 23 |
| Ease of use | 9.1 | 9.4 |
| Ease of setup | 9.2 | 9.4 |
| Quality of support | 9.0 | 9.6 |
| Meets requirements | 9.3 | 9.8 |
| NPS | 76.28866 | 100 |
| Small Business | 11.9% | 13.0% |
| Mid-Market | 28.7% | 34.8% |
| Enterprise | 59.4% | 52.2% |
| Total page views | 445 | 215 |
| Total LLM citations | 1,119 | 553 |
Azure Data Factory
Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems.
- Data Integration
- Ease of Use
- Integrations
- Scalability
- Connectors
- Simple
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