Google Cloud Managed Service for Apache Spark vs. Control-M
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Control-M |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 18 | 214 |
| Ease of use | 9.0 | 8.7 |
| Ease of setup | 7.1 | 8.2 |
| Quality of support | 9.0 | 8.7 |
| Meets requirements | 8.8 | 9.1 |
| NPS | 68.75 | 55.609756 |
| Small Business | 27.8% | 24.4% |
| Mid-Market | 38.9% | 22.2% |
| Enterprise | 33.3% | 53.3% |
| Total page views | 126 | 2,510 |
| Total LLM citations | 544 | 7,695 |
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.
Control-M
Control-M from BMC Software is a digital operations orchestration platform designed to help organizations connect applications, data pipelines, and infrastructure processes within a unified ecosystem. This solution is specifically tailored to manage complex hybrid environments, providing a robust framework for designing, automating, and governing workflows that span both on-premises and cloud technologies. By simplifying the management of operational dependencies, Control-M enables IT and business teams to maintain resilience, compliance, and efficiency at scale.
- Ease of Use
- Automation
- Features
- Time-saving
- Task Automation
- Monitoring