Apache Storm vs. Starburst
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Starburst |
|---|---|---|
| Overall rating | 3.7 | 4.3 |
| Review count | 12 | 127 |
| Ease of use | 6.6 | 8.9 |
| Ease of setup | 6.7 | 8.6 |
| Quality of support | 7.5 | 9.0 |
| Meets requirements | 8.0 | 9.0 |
| NPS | -8.333333 | 51.587302 |
| Small Business | 50.0% | 38.6% |
| Mid-Market | 16.7% | 23.6% |
| Enterprise | 33.3% | 37.8% |
| Total page views | 20 | 853 |
| Total LLM citations | 12 | 4,628 |
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.
Starburst
Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. Learn more at starburst.ai
- Fast Querying
- Query Efficiency
- Integrations
- Ease of Use
- Large Datasets
- Performance