Apache Parquet vs. Rocket Vertica
A side-by-side comparison based on G2 review data.
| Metric | Apache Parquet | Rocket Vertica |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 27 | 216 |
| Ease of use | 8.1 | 8.7 |
| Ease of setup | 7.6 | 8.3 |
| Quality of support | 8.3 | 8.3 |
| Meets requirements | 8.7 | 8.8 |
| NPS | 46.153846 | 52.307692 |
| Small Business | 29.6% | 18.5% |
| Mid-Market | 48.1% | 38.0% |
| Enterprise | 22.2% | 43.5% |
| Total page views | 70 | 501 |
| Total LLM citations | 49 | 373 |
Apache Parquet
Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
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.