Confluent vs. Google Cloud Dataflow
A side-by-side comparison based on G2 review data.
| Metric | Confluent | Google Cloud Dataflow |
|---|---|---|
| Overall rating | 4.4 | 4.2 |
| Review count | 117 | 44 |
| Ease of use | 8.6 | 8.3 |
| Ease of setup | 8.3 | 8.2 |
| Quality of support | 8.5 | 8.6 |
| Meets requirements | 8.9 | 9.1 |
| NPS | 59.292035 | 42.857143 |
| Small Business | 34.2% | 36.4% |
| Mid-Market | 29.9% | 31.8% |
| Enterprise | 35.9% | 31.8% |
| Total page views | 757 | 219 |
| Total LLM citations | 7,445 | 272 |
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
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