Google Cloud Managed Service for Apache Spark vs. Confluent
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Confluent |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 18 | 117 |
| Ease of use | 9.0 | 8.6 |
| Ease of setup | 7.1 | 8.3 |
| Quality of support | 9.0 | 8.5 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 68.75 | 59.292035 |
| Small Business | 27.8% | 34.2% |
| Mid-Market | 38.9% | 29.9% |
| Enterprise | 33.3% | 35.9% |
| Total page views | 126 | 757 |
| Total LLM citations | 544 | 7,445 |
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.
Confluent
Today’s customers expect every digital experience to be immediate, connected, and personalized. That takes more than data at rest - it takes trusted data in motion. Confluent is the complete Data Streaming Platform for keeping data in motion from the moment business change occurs through processing, governance, and serving. Built by the original creators of Apache Kafka®, Confluent connects applications, services, and systems; processes streams in real time with Apache Flink®; and serves trusted, always-current data wherever it is needed across cloud, hybrid, and self-managed environments.
- Streaming
- Scaling
- Data Integration
- Easy Integrations
- Features
- User Interface