Apache Parquet vs. Apache ORC
A side-by-side comparison based on G2 review data.
| Metric | Apache Parquet | Apache ORC |
|---|---|---|
| Overall rating | 4.3 | 4.1 |
| Review count | 27 | 11 |
| Ease of use | 8.1 | 7.1 |
| Ease of setup | 7.6 | 8.0 |
| Quality of support | 8.3 | 7.1 |
| Meets requirements | 8.7 | 7.8 |
| NPS | 46.153846 | 36.363636 |
| Small Business | 29.6% | 27.3% |
| Mid-Market | 48.1% | 36.4% |
| Enterprise | 22.2% | 36.4% |
| Total page views | 70 | 18 |
| Total LLM citations | 49 | 6 |
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.
Apache ORC
Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.