Apache ORC vs. CrateDB
A side-by-side comparison based on G2 review data.
| Metric | Apache ORC | CrateDB |
|---|---|---|
| Overall rating | 4.1 | 4.4 |
| Review count | 11 | 85 |
| Ease of use | 7.1 | 9.1 |
| Ease of setup | 8.0 | 9.1 |
| Quality of support | 7.1 | 9.2 |
| Meets requirements | 7.8 | 9.0 |
| NPS | 36.363636 | 52.439024 |
| Small Business | 27.3% | 55.4% |
| Mid-Market | 36.4% | 31.3% |
| Enterprise | 36.4% | 13.3% |
| Total page views | 18 | 154 |
| Total LLM citations | 6 | 669 |
Apache ORC
Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.
CrateDB
The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.
- Ease of Use
- SQL Usage
- Flexibility
- Features
- Scalability
- Easy Integrations