Amazon Kinesis Data Analytics vs. Apache Kafka
A side-by-side comparison based on G2 review data.
| Metric | Amazon Kinesis Data Analytics | Apache Kafka |
|---|---|---|
| Overall rating | 4.1 | 4.5 |
| Review count | 15 | 132 |
| Ease of use | 8.6 | 8.8 |
| Ease of setup | 8.0 | 8.3 |
| Quality of support | 8.1 | 8.2 |
| Meets requirements | 8.0 | 9.0 |
| NPS | 42.857143 | 72.440945 |
| Small Business | 26.7% | 22.7% |
| Mid-Market | 6.7% | 31.1% |
| Enterprise | 66.7% | 46.2% |
| Total page views | 27 | 388 |
| Total LLM citations | 13 | 1,699 |
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Kinesis Data Analytics reduces the complexity of building, managing, and integrating Apache Flink applications with other AWS services. Kinesis Data Analytics takes care of everything required to run streaming applications continuously, and scales automatically to match the volume and throughput of your incoming data.
- Integrations
- Analytics
- Security Protection
- Cost Saving
- Easy Integrations
- Cloud Services
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