Google Cloud Managed Service for Apache Spark vs. ILUM
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | ILUM |
|---|---|---|
| Overall rating | 4.3 | 4.9 |
| Review count | 18 | 23 |
| Ease of use | 9.0 | 9.4 |
| Ease of setup | 7.1 | 9.4 |
| Quality of support | 9.0 | 9.6 |
| Meets requirements | 8.8 | 9.8 |
| NPS | 68.75 | 100 |
| Small Business | 27.8% | 13.0% |
| Mid-Market | 38.9% | 34.8% |
| Enterprise | 33.3% | 52.2% |
| Total page views | 126 | 215 |
| Total LLM citations | 544 | 553 |
Google Cloud Managed Service for Apache Spark
Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead, and you pay only for the resources you use (with per-second billing). Cloud Dataproc also easily integrates with other Google Cloud Platform (GCP) services, giving you a powerful and complete platform for data processing, analytics and machine learning.
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