Hive vs. VMware Greenplum
A side-by-side comparison based on G2 review data.
| Metric | Hive | VMware Greenplum |
|---|---|---|
| Overall rating | 4.2 | 4.3 |
| Review count | 60 | 61 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.1 | 8.4 |
| Quality of support | 8.0 | 8.3 |
| Meets requirements | 8.5 | 8.7 |
| NPS | 43.859649 | 47.272727 |
| Small Business | 11.7% | 21.3% |
| Mid-Market | 35.0% | 29.5% |
| Enterprise | 53.3% | 49.2% |
| Total page views | 310 | 129 |
| Total LLM citations | 204 | 93 |
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.
VMware Greenplum
Advanced analytics meets traditional business intelligence with VMware Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open source Greenplum Database. Greenplum provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world’s most advanced cost-based query optimizers, VMware Greenplum delivers unmatched analytical query performance on massive volumes of data.