Apache ORC vs. Rocket Vertica
A side-by-side comparison based on G2 review data.
| Metric | Apache ORC | Rocket Vertica |
|---|---|---|
| Overall rating | 4.1 | 4.3 |
| Review count | 11 | 216 |
| Ease of use | 7.1 | 8.7 |
| Ease of setup | 8.0 | 8.3 |
| Quality of support | 7.1 | 8.3 |
| Meets requirements | 7.8 | 8.8 |
| NPS | 36.363636 | 52.307692 |
| Small Business | 27.3% | 18.5% |
| Mid-Market | 36.4% | 38.0% |
| Enterprise | 36.4% | 43.5% |
| Total page views | 18 | 501 |
| Total LLM citations | 6 | 373 |
Apache ORC
Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.
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.