Apache ORC vs. StarTree
A side-by-side comparison based on G2 review data.
| Metric | Apache ORC | StarTree |
|---|---|---|
| Overall rating | 4.1 | 4.5 |
| Review count | 11 | 29 |
| Ease of use | 7.1 | 7.9 |
| Ease of setup | 8.0 | 7.6 |
| Quality of support | 7.1 | 8.8 |
| Meets requirements | 7.8 | 8.7 |
| NPS | 36.363636 | 68.965517 |
| Small Business | 27.3% | 37.9% |
| Mid-Market | 36.4% | 31.0% |
| Enterprise | 36.4% | 31.0% |
| Total page views | 18 | 157 |
| Total LLM citations | 6 | 437 |
Apache ORC
Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.
StarTree
StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.
- Performance
- Fast Querying
- Large Datasets
- Analytics
- Speed
- Ease of Use