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