Hive vs. SAP Datasphere
A side-by-side comparison based on G2 review data.
| Metric | Hive | SAP Datasphere |
|---|---|---|
| Overall rating | 4.2 | 4.2 |
| Review count | 60 | 167 |
| Ease of use | 8.6 | 8.4 |
| Ease of setup | 8.1 | 8.1 |
| Quality of support | 8.0 | 8.7 |
| Meets requirements | 8.5 | 8.9 |
| NPS | 43.859649 | 41.358025 |
| Small Business | 11.7% | 22.8% |
| Mid-Market | 35.0% | 35.8% |
| Enterprise | 53.3% | 41.4% |
| Total page views | 310 | 806 |
| Total LLM citations | 204 | 3,182 |
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.
SAP Datasphere
SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to deliver seamless and scalable access to mission-critical business data. SAP Datasphere, and its open data ecosystem, is the foundation for a business data fabric.
- Ease of Use
- Easy Integrations
- Data Management
- Analytics
- Collaboration
- Integration Support