Apache Pig vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Apache Pig | Cloudera |
|---|---|---|
| Overall rating | 3.9 | 4.2 |
| Review count | 21 | 205 |
| Ease of use | 7.9 | 8.6 |
| Ease of setup | 8.0 | 8.4 |
| Quality of support | 6.3 | 8.4 |
| Meets requirements | 8.1 | 8.9 |
| NPS | 20 | 45.641026 |
| Small Business | 19.0% | 34.3% |
| Mid-Market | 19.0% | 27.5% |
| Enterprise | 61.9% | 38.2% |
| Total page views | 23 | 964 |
| Total LLM citations | 15 | 1,693 |
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.
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management