Apache ORC vs. Hbase
A side-by-side comparison based on G2 review data.
| Metric | Apache ORC | Hbase |
|---|---|---|
| Overall rating | 4.1 | 4.2 |
| Review count | 11 | 114 |
| Ease of use | 7.1 | 7.9 |
| Ease of setup | 8.0 | 7.7 |
| Quality of support | 7.1 | 7.9 |
| Meets requirements | 7.8 | 8.4 |
| NPS | 36.363636 | 34.951456 |
| Small Business | 27.3% | 21.9% |
| Mid-Market | 36.4% | 26.3% |
| Enterprise | 36.4% | 51.8% |
| Total page views | 18 | 64 |
| Total LLM citations | 6 | 60 |
Apache ORC
Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.
Hbase
A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.