Apache Storm vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Databricks |
|---|---|---|
| Overall rating | 3.7 | 4.6 |
| Review count | 12 | 1,388 |
| Ease of use | 6.6 | 8.9 |
| Ease of setup | 6.7 | 8.7 |
| Quality of support | 7.5 | 8.9 |
| Meets requirements | 8.0 | 9.1 |
| NPS | -8.333333 | 77.851361 |
| Small Business | 50.0% | 15.1% |
| Mid-Market | 16.7% | 37.6% |
| Enterprise | 33.3% | 47.2% |
| Total page views | 20 | 16,340 |
| Total LLM citations | 12 | 14,031 |
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.
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations