Red Hat OpenShift Streams for Apache Kafka vs. IBM StreamSets
A side-by-side comparison based on G2 review data.
| Metric | Red Hat OpenShift Streams for Apache Kafka | IBM StreamSets |
|---|---|---|
| Overall rating | 4.4 | 4.0 |
| Review count | 26 | 115 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.7 | 8.3 |
| Quality of support | 9.1 | 8.3 |
| Meets requirements | 8.8 | 8.4 |
| NPS | 53.846154 | 29.20354 |
| Small Business | 42.3% | 23.7% |
| Mid-Market | 19.2% | 33.3% |
| Enterprise | 38.5% | 43.0% |
| Total page views | 66 | 297 |
| Total LLM citations | 141 | 1,104 |
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.
IBM StreamSets
IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization.
- Ease of Use
- User Interface
- Data Pipelining
- Data Management
- Integrations
- Implementation Ease