Firebolt vs. Hive
A side-by-side comparison based on G2 review data.
| Metric | Firebolt | Hive |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 14 | 60 |
| Ease of use | 8.8 | 8.6 |
| Ease of setup | 8.8 | 8.1 |
| Quality of support | 9.3 | 8.0 |
| Meets requirements | 8.8 | 8.5 |
| NPS | 64.285714 | 43.859649 |
| Small Business | 50.0% | 11.7% |
| Mid-Market | 21.4% | 35.0% |
| Enterprise | 28.6% | 53.3% |
| Total page views | 140 | 310 |
| Total LLM citations | 678 | 204 |
Firebolt
Firebolt's Cloud Data Warehouse delivers extreme speed and elasticity at any scale solving your impossible data challenges. Its unique technology combines the best of high performance database architecture with the infinite scale of the data lake, enabling you to perform analytics at jaw-dropping speed across terabyte and petabyte scale. Built on a decoupled storage and compute architecture, Firebolt allows you to easily scale up or down to support any workload.
- Ease of Access
- Analytics
- Fast Querying
- Speed
- Scaling
- Large Datasets
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.