Red Hat OpenShift Streams for Apache Kafka vs. Amazon Kinesis Data Firehose
A side-by-side comparison based on G2 review data.
| Metric | Red Hat OpenShift Streams for Apache Kafka | Amazon Kinesis Data Firehose |
|---|---|---|
| Overall rating | 4.4 | 4.2 |
| Review count | 26 | 25 |
| Ease of use | 8.6 | 8.7 |
| Ease of setup | 8.7 | 8.8 |
| Quality of support | 9.1 | 8.6 |
| Meets requirements | 8.8 | 8.8 |
| NPS | 53.846154 | 38.095238 |
| Small Business | 42.3% | 20.0% |
| Mid-Market | 19.2% | 44.0% |
| Enterprise | 38.5% | 36.0% |
| Total page views | 66 | 66 |
| Total LLM citations | 141 | 188 |
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.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration.