Apache Storm vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 3.7 | 4.5 |
| Review count | 12 | 1,223 |
| Ease of use | 6.6 | 8.9 |
| Ease of setup | 6.7 | 8.9 |
| Quality of support | 7.5 | 8.6 |
| Meets requirements | 8.0 | 9.0 |
| NPS | -8.333333 | 67.744755 |
| Small Business | 50.0% | 27.7% |
| Mid-Market | 16.7% | 34.3% |
| Enterprise | 33.3% | 38.1% |
| Total page views | 20 | 5,950 |
| Total LLM citations | 12 | 27,007 |
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 BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability