Google Cloud Dataflow vs. Amazon Kinesis Data Analytics
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Dataflow | Amazon Kinesis Data Analytics |
|---|---|---|
| Overall rating | 4.2 | 4.1 |
| Review count | 44 | 15 |
| Ease of use | 8.3 | 8.6 |
| Ease of setup | 8.2 | 8.0 |
| Quality of support | 8.6 | 8.1 |
| Meets requirements | 9.1 | 8.0 |
| NPS | 42.857143 | 42.857143 |
| Small Business | 36.4% | 26.7% |
| Mid-Market | 31.8% | 6.7% |
| Enterprise | 31.8% | 66.7% |
| Total page views | 219 | 27 |
| Total LLM citations | 272 | 13 |
Google Cloud Dataflow
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.
- Features
- Real-time Analytics
- Insights
- Real-Time Processing
- Easy Management
- Speed
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