VMware Greenplum vs. Hive
A side-by-side comparison based on G2 review data.
| Metric | VMware Greenplum | Hive |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 61 | 60 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.4 | 8.1 |
| Quality of support | 8.3 | 8.0 |
| Meets requirements | 8.7 | 8.5 |
| NPS | 47.272727 | 43.859649 |
| Small Business | 21.3% | 11.7% |
| Mid-Market | 29.5% | 35.0% |
| Enterprise | 49.2% | 53.3% |
| Total page views | 129 | 310 |
| Total LLM citations | 93 | 204 |
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.
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.