ILUM vs. Druid
A side-by-side comparison based on G2 review data.
| Metric | ILUM | Druid |
|---|---|---|
| Overall rating | 4.9 | 4.3 |
| Review count | 23 | 31 |
| Ease of use | 9.4 | 8.3 |
| Ease of setup | 9.4 | 6.9 |
| Quality of support | 9.6 | 8.2 |
| Meets requirements | 9.8 | 8.6 |
| NPS | 100 | 39.285714 |
| Small Business | 13.0% | 19.4% |
| Mid-Market | 34.8% | 29.0% |
| Enterprise | 52.2% | 51.6% |
| Total page views | 215 | 324 |
| Total LLM citations | 553 | 219 |
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
Druid
Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale.