Apache Pig vs. Qubole
A side-by-side comparison based on G2 review data.
| Metric | Apache Pig | Qubole |
|---|---|---|
| Overall rating | 3.9 | 4.0 |
| Review count | 21 | 259 |
| Ease of use | 7.9 | 8.1 |
| Ease of setup | 8.0 | 8.0 |
| Quality of support | 6.3 | 8.2 |
| Meets requirements | 8.1 | 8.6 |
| NPS | 20 | 25.316456 |
| Small Business | 19.0% | 5.4% |
| Mid-Market | 19.0% | 43.6% |
| Enterprise | 61.9% | 51.0% |
| Total page views | 23 | 67 |
| Total LLM citations | 15 | 50 |
Apache Pig
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.
Qubole
Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration.