Hive vs. IBM Db2
A side-by-side comparison based on G2 review data.
| Metric | Hive | IBM Db2 |
|---|---|---|
| Overall rating | 4.2 | 4.1 |
| Review count | 60 | 684 |
| Ease of use | 8.6 | 8.3 |
| Ease of setup | 8.1 | 8.0 |
| Quality of support | 8.0 | 8.3 |
| Meets requirements | 8.5 | 8.7 |
| NPS | 43.859649 | 36 |
| Small Business | 11.7% | 13.2% |
| Mid-Market | 35.0% | 20.8% |
| Enterprise | 53.3% | 66.0% |
| Total page views | 310 | 632 |
| Total LLM citations | 204 | 3,844 |
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 Db2
Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency transactions and real-time analytics equipped for the most demanding workloads. From microservices to AI workloads, Db2 is the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world.
- Performance
- Reliability
- Scalability
- Ease of Use
- Security
- Customer Support