Apache Kafka vs. Red Hat OpenShift Streams for Apache Kafka
A side-by-side comparison based on G2 review data.
| Metric | Apache Kafka | Red Hat OpenShift Streams for Apache Kafka |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 132 | 26 |
| Ease of use | 8.8 | 8.6 |
| Ease of setup | 8.3 | 8.7 |
| Quality of support | 8.2 | 9.1 |
| Meets requirements | 9.0 | 8.8 |
| NPS | 72.440945 | 53.846154 |
| Small Business | 22.7% | 42.3% |
| Mid-Market | 31.1% | 19.2% |
| Enterprise | 46.2% | 38.5% |
| Total page views | 388 | 66 |
| Total LLM citations | 1,699 | 141 |
Apache Kafka
Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries.
- Scalability
- Real-time Data
- Performance Efficiency
- Performance
- Reliability
- Easy Integrations
Red Hat OpenShift Streams for Apache Kafka
Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems.