Google Cloud Dataflow vs. Amazon Managed Streaming for Apache Kafka (Amazon MSK)
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Dataflow | Amazon Managed Streaming for Apache Kafka (Amazon MSK) |
|---|---|---|
| Overall rating | 4.2 | 4.0 |
| Review count | 44 | 24 |
| Ease of use | 8.3 | 8.7 |
| Ease of setup | 8.2 | 8.8 |
| Quality of support | 8.6 | 9.2 |
| Meets requirements | 9.1 | 9.0 |
| NPS | 42.857143 | 39.130435 |
| Small Business | 36.4% | 47.8% |
| Mid-Market | 31.8% | 34.8% |
| Enterprise | 31.8% | 17.4% |
| Total page views | 219 | 123 |
| Total LLM citations | 272 | 279 |
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 Managed Streaming for Apache Kafka (Amazon MSK)
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy for developers and DevOps managers to run Apache Kafka applications and Kafka Connect connectors on AWS, without the need to become experts in operating Apache Kafka. Amazon MSK operates, maintains, and scales Apache Kafka clusters, provides enterprise-grade security features out of the box, and has built-in AWS integrations that accelerate development of streaming data applications.
- Reliability
- Scalability
- Cloud Services
- Scaling
- Management Ease
- Maintenance Ease