SQL Server 2019 vs. Hive
A side-by-side comparison based on G2 review data.
| Metric | SQL Server 2019 | Hive |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 83 | 60 |
| Ease of use | 9.1 | 8.6 |
| Ease of setup | 8.6 | 8.1 |
| Quality of support | 9.0 | 8.0 |
| Meets requirements | 9.2 | 8.5 |
| NPS | 71.794872 | 43.859649 |
| Small Business | 31.7% | 11.7% |
| Mid-Market | 35.4% | 35.0% |
| Enterprise | 32.9% | 53.3% |
| Total page views | 70 | 310 |
| Total LLM citations | 78 | 204 |
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
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.