Apache Storm vs. Google Cloud Dataflow
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Google Cloud Dataflow |
|---|---|---|
| Overall rating | 3.7 | 4.2 |
| Review count | 12 | 44 |
| Ease of use | 6.6 | 8.3 |
| Ease of setup | 6.7 | 8.2 |
| Quality of support | 7.5 | 8.6 |
| Meets requirements | 8.0 | 9.1 |
| NPS | -8.333333 | 42.857143 |
| Small Business | 50.0% | 36.4% |
| Mid-Market | 16.7% | 31.8% |
| Enterprise | 33.3% | 31.8% |
| Total page views | 20 | 219 |
| Total LLM citations | 12 | 272 |
Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.
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