Amazon Kinesis Data Streams vs. Confluent
A side-by-side comparison based on G2 review data.
| Metric | Amazon Kinesis Data Streams | Confluent |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 90 | 117 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.8 | 8.3 |
| Quality of support | 8.8 | 8.5 |
| Meets requirements | 9.2 | 8.9 |
| NPS | 49.382716 | 59.292035 |
| Small Business | 26.7% | 34.2% |
| Mid-Market | 36.7% | 29.9% |
| Enterprise | 36.7% | 35.9% |
| Total page views | 137 | 757 |
| Total LLM citations | 670 | 7,445 |
Amazon Kinesis Data Streams
Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands of sources, such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events. The collected data is available in milliseconds to allow real-time analytics use cases, such as real-time dashboards, real-time anomaly detection, dynamic pricing.
- Real-Time Processing
- Streaming
- Real-time Data
- Real-time Streaming
- Real-time Processing
- Time Management
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