Google Cloud Knowledge Catalog vs. ILUM
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Knowledge Catalog | ILUM |
|---|---|---|
| Overall rating | 4.3 | 4.9 |
| Review count | 17 | 23 |
| Ease of use | 8.7 | 9.4 |
| Ease of setup | 10.0 | 9.4 |
| Quality of support | 8.5 | 9.6 |
| Meets requirements | 9.0 | 9.8 |
| NPS | 58.823529 | 100 |
| Small Business | 41.2% | 13.0% |
| Mid-Market | 17.6% | 34.8% |
| Enterprise | 41.2% | 52.2% |
| Total page views | 69 | 215 |
| Total LLM citations | 152 | 553 |
Google Cloud Knowledge Catalog
Knowledge Catalog is a dynamic, always-on, universal context engine for agents. It unifies structured, unstructured, and SaaS data into a governed, agent-ready truth. Knowledge Catalog aggregates native context across your Google and partner data platforms, semantic models, and third-party catalogs, unifying them into a single, governed source of truth. Automatically harvest technical metadata across your foundational systems—including BigQuery, AlloyDB, Spanner, Cloud SQL, Firestore (Preview), and Looker (Preview).
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