Hive vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Hive | Cloudera |
|---|---|---|
| Overall rating | 4.2 | 4.2 |
| Review count | 60 | 205 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.1 | 8.4 |
| Quality of support | 8.0 | 8.4 |
| Meets requirements | 8.5 | 8.9 |
| NPS | 43.859649 | 45.641026 |
| Small Business | 11.7% | 34.3% |
| Mid-Market | 35.0% | 27.5% |
| Enterprise | 53.3% | 38.2% |
| Total page views | 310 | 964 |
| Total LLM citations | 204 | 1,693 |
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.
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management