Hive vs. Snowflake
A side-by-side comparison based on G2 review data.
| Metric | Hive | Snowflake |
|---|---|---|
| Overall rating | 4.2 | 4.6 |
| Review count | 60 | 762 |
| Ease of use | 8.6 | 9.2 |
| Ease of setup | 8.1 | 9.1 |
| Quality of support | 8.0 | 8.9 |
| Meets requirements | 8.5 | 9.3 |
| NPS | 43.859649 | 73.876404 |
| Small Business | 11.7% | 13.1% |
| Mid-Market | 35.0% | 44.9% |
| Enterprise | 53.3% | 42.1% |
| Total page views | 310 | 4,830 |
| Total LLM citations | 204 | 28,559 |
Hive
Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL.
Snowflake
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).
- Ease of Use
- Features
- Data Management
- Scalability
- Integrations
- Performance