Hive vs. Keboola
A side-by-side comparison based on G2 review data.
| Metric | Hive | Keboola |
|---|---|---|
| Overall rating | 4.2 | 4.6 |
| Review count | 60 | 142 |
| Ease of use | 8.6 | 8.8 |
| Ease of setup | 8.1 | 8.7 |
| Quality of support | 8.0 | 9.6 |
| Meets requirements | 8.5 | 8.9 |
| NPS | 43.859649 | 77.536232 |
| Small Business | 11.7% | 22.0% |
| Mid-Market | 35.0% | 63.8% |
| Enterprise | 53.3% | 14.2% |
| Total page views | 310 | 398 |
| Total LLM citations | 204 | 1,931 |
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.
Keboola
Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems. Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence. Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting.
- Ease of Use
- Features
- Data Management
- Integrations
- Customer Support
- Easy Integrations