Apache Storm vs. Confluent
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Confluent |
|---|---|---|
| Overall rating | 3.7 | 4.4 |
| Review count | 12 | 117 |
| Ease of use | 6.6 | 8.6 |
| Ease of setup | 6.7 | 8.3 |
| Quality of support | 7.5 | 8.5 |
| Meets requirements | 8.0 | 8.9 |
| NPS | -8.333333 | 59.292035 |
| Small Business | 50.0% | 34.2% |
| Mid-Market | 16.7% | 29.9% |
| Enterprise | 33.3% | 35.9% |
| Total page views | 20 | 757 |
| Total LLM citations | 12 | 7,445 |
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.
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