IBM Event Streams vs. Amazon Kinesis Data Analytics
A side-by-side comparison based on G2 review data.
| Metric | IBM Event Streams | Amazon Kinesis Data Analytics |
|---|---|---|
| Overall rating | 4.3 | 4.1 |
| Review count | 13 | 15 |
| Ease of use | 9.6 | 8.6 |
| Ease of setup | 9.5 | 8.0 |
| Quality of support | 8.6 | 8.1 |
| Meets requirements | 8.6 | 8.0 |
| NPS | 58.333333 | 42.857143 |
| Small Business | 23.1% | 26.7% |
| Mid-Market | 23.1% | 6.7% |
| Enterprise | 53.8% | 66.7% |
| Total page views | 78 | 27 |
| Total LLM citations | 169 | 13 |
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 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