Apache Kafka vs. Confluent
A side-by-side comparison based on G2 review data.
| Metric | Apache Kafka | Confluent |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 132 | 117 |
| Ease of use | 8.8 | 8.6 |
| Ease of setup | 8.3 | 8.3 |
| Quality of support | 8.2 | 8.5 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 72.440945 | 59.292035 |
| Small Business | 22.7% | 34.2% |
| Mid-Market | 31.1% | 29.9% |
| Enterprise | 46.2% | 35.9% |
| Total page views | 388 | 757 |
| Total LLM citations | 1,699 | 7,445 |
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
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