Hive vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Hive | Databricks |
|---|---|---|
| Overall rating | 4.2 | 4.6 |
| Review count | 60 | 1,388 |
| Ease of use | 8.6 | 8.9 |
| Ease of setup | 8.1 | 8.7 |
| Quality of support | 8.0 | 8.9 |
| Meets requirements | 8.5 | 9.1 |
| NPS | 43.859649 | 77.851361 |
| Small Business | 11.7% | 15.1% |
| Mid-Market | 35.0% | 37.6% |
| Enterprise | 53.3% | 47.2% |
| Total page views | 310 | 16,340 |
| Total LLM citations | 204 | 14,031 |
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.
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations