Rocket Vertica vs. Apache ORC
A side-by-side comparison based on G2 review data.
| Metric | Rocket Vertica | Apache ORC |
|---|---|---|
| Overall rating | 4.3 | 4.1 |
| Review count | 216 | 11 |
| Ease of use | 8.7 | 7.1 |
| Ease of setup | 8.3 | 8.0 |
| Quality of support | 8.3 | 7.1 |
| Meets requirements | 8.8 | 7.8 |
| NPS | 52.307692 | 36.363636 |
| Small Business | 18.5% | 27.3% |
| Mid-Market | 38.0% | 36.4% |
| Enterprise | 43.5% | 36.4% |
| Total page views | 501 | 18 |
| Total LLM citations | 373 | 6 |
Rocket Vertica
Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability. Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads, arming them and their customers with predictive business insights.
Apache ORC
Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.