IBM Event Streams vs. Amazon Kinesis Data Streams
A side-by-side comparison based on G2 review data.
| Metric | IBM Event Streams | Amazon Kinesis Data Streams |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 13 | 90 |
| Ease of use | 9.6 | 8.6 |
| Ease of setup | 9.5 | 8.8 |
| Quality of support | 8.6 | 8.8 |
| Meets requirements | 8.6 | 9.2 |
| NPS | 58.333333 | 49.382716 |
| Small Business | 23.1% | 26.7% |
| Mid-Market | 23.1% | 36.7% |
| Enterprise | 53.8% | 36.7% |
| Total page views | 78 | 137 |
| Total LLM citations | 169 | 670 |
IBM Event Streams
IBM Event Streams is a high-throughput, fault-tolerant, event streaming solution. Powered by Apache Kafka, it provides access to enterprise data through event streams, enabling businesses to unlock insights from historical data, and identify and take action on situations in real time and at scale.
- User Interface
- Ease of Use
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