ILUM vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | ILUM | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.9 | 4.5 |
| Review count | 23 | 1,223 |
| Ease of use | 9.4 | 8.9 |
| Ease of setup | 9.4 | 8.9 |
| Quality of support | 9.6 | 8.6 |
| Meets requirements | 9.8 | 9.0 |
| NPS | 100 | 67.744755 |
| Small Business | 13.0% | 27.7% |
| Mid-Market | 34.8% | 34.3% |
| Enterprise | 52.2% | 38.1% |
| Total page views | 215 | 5,950 |
| Total LLM citations | 553 | 27,007 |
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
Google Cloud BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability