Google Cloud Dataflow vs. Amazon Kinesis Data Firehose
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Dataflow | Amazon Kinesis Data Firehose |
|---|---|---|
| Overall rating | 4.2 | 4.2 |
| Review count | 44 | 25 |
| Ease of use | 8.3 | 8.7 |
| Ease of setup | 8.2 | 8.8 |
| Quality of support | 8.6 | 8.6 |
| Meets requirements | 9.1 | 8.8 |
| NPS | 42.857143 | 38.095238 |
| Small Business | 36.4% | 20.0% |
| Mid-Market | 31.8% | 44.0% |
| Enterprise | 31.8% | 36.0% |
| Total page views | 219 | 66 |
| Total LLM citations | 272 | 188 |
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 Firehose
Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration.