Apache Storm vs. Snowplow
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Snowplow |
|---|---|---|
| Overall rating | 3.7 | 4.6 |
| Review count | 12 | 31 |
| Ease of use | 6.6 | 8.4 |
| Ease of setup | 6.7 | 6.9 |
| Quality of support | 7.5 | 9.1 |
| Meets requirements | 8.0 | 9.3 |
| NPS | -8.333333 | 76.666667 |
| Small Business | 50.0% | 32.3% |
| Mid-Market | 16.7% | 51.6% |
| Enterprise | 33.3% | 16.1% |
| Total page views | 20 | 164 |
| Total LLM citations | 12 | 1,290 |
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.
Snowplow
Snowplow is the leader in next-generation customer data infrastructure (CDI), enabling every data-driven organization to own and unlock the true value of its customer behavioral data to fuel AI, advanced analytics, and personalized marketing. Companies like Burberry, Strava, and Auto Trader use Snowplow to collect, manage, and operationalize real-time event data from their central data platform and empower analytics, data science, product, and growth teams with custom applications to uncover deeper customer journey insights, predict customer behaviors, deliver differentiated customer
- Intuitive Use
- Ease of Use
- User Experience
- User Interface