Hive vs. Oracle Exadata Cloud Service
A side-by-side comparison based on G2 review data.
| Metric | Hive | Oracle Exadata Cloud Service |
|---|---|---|
| Overall rating | 4.2 | 4.4 |
| Review count | 60 | 44 |
| Ease of use | 8.6 | 8.0 |
| Ease of setup | 8.1 | 8.0 |
| Quality of support | 8.0 | 8.1 |
| Meets requirements | 8.5 | 9.3 |
| NPS | 43.859649 | 57.5 |
| Small Business | 11.7% | 7.0% |
| Mid-Market | 35.0% | 20.9% |
| Enterprise | 53.3% | 72.1% |
| Total page views | 310 | 95 |
| Total LLM citations | 204 | 117 |
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.
Oracle Exadata Cloud Service
Offer a fast, reliable, and cost-effective platform for data warehousing and business intelligence that is easy to scale to meet the complex reporting.