Hive vs. IBM InfoSphere Information Server
A side-by-side comparison based on G2 review data.
| Metric | Hive | IBM InfoSphere Information Server |
|---|---|---|
| Overall rating | 4.2 | 4.1 |
| Review count | 60 | 23 |
| Ease of use | 8.6 | 7.6 |
| Ease of setup | 8.1 | 7.6 |
| Quality of support | 8.0 | 7.5 |
| Meets requirements | 8.5 | 8.7 |
| NPS | 43.859649 | 36.363636 |
| Small Business | 11.7% | 0.0% |
| Mid-Market | 35.0% | 13.0% |
| Enterprise | 53.3% | 87.0% |
| Total page views | 310 | 81 |
| Total LLM citations | 204 | 51 |
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.
IBM InfoSphere Information Server
Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projects and applications. Create a flexible governance strategy Helps you adapt a data governance strategy to suit your organizational objectives, while shaping business information in unique ways to meet your needs.