Hive vs. EXASOL
A side-by-side comparison based on G2 review data.
| Metric | Hive | EXASOL |
|---|---|---|
| Overall rating | 4.2 | 4.7 |
| Review count | 60 | 28 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.1 | 8.8 |
| Quality of support | 8.0 | 9.4 |
| Meets requirements | 8.5 | 9.7 |
| NPS | 43.859649 | 78.26087 |
| Small Business | 11.7% | 25.9% |
| Mid-Market | 35.0% | 33.3% |
| Enterprise | 53.3% | 40.7% |
| Total page views | 310 | 117 |
| Total LLM citations | 204 | 142 |
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.
EXASOL
Exasol is the world’s most powerful Analytics Engine, purpose-built to handle the most demanding data workloads at an unmatched price / performance ratio. <b>In-memory architecture </b> Want to process 3 billion rows in 3 seconds, not 3 hours? Exasol manages memory cache automatically, only bringing what's needed into the database for dramatically faster access times. <b>Automatic query tuning </b> Enjoy optimized performance while minimizing data administration overhead.
- Query Efficiency
- Performance
- Features
- Cost-Effective
- Fast Processing
- Analytics