Hive vs. SQL Server 2019
A side-by-side comparison based on G2 review data.
| Metric | Hive | SQL Server 2019 |
|---|---|---|
| Overall rating | 4.2 | 4.5 |
| Review count | 60 | 83 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.1 | 8.6 |
| Quality of support | 8.0 | 9.0 |
| Meets requirements | 8.5 | 9.2 |
| NPS | 43.859649 | 71.794872 |
| Small Business | 11.7% | 31.7% |
| Mid-Market | 35.0% | 35.4% |
| Enterprise | 53.3% | 32.9% |
| Total page views | 310 | 70 |
| Total LLM citations | 204 | 78 |
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.
SQL Server 2019
Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.
- Data Integration
- SQL Support