Apache Pig vs. SAS Visual Statistics
A side-by-side comparison based on G2 review data.
| Metric | Apache Pig | SAS Visual Statistics |
|---|---|---|
| Overall rating | 3.9 | 4.4 |
| Review count | 21 | 25 |
| Ease of use | 7.9 | 8.7 |
| Ease of setup | 8.0 | 8.3 |
| Quality of support | 6.3 | 9.0 |
| Meets requirements | 8.1 | 8.8 |
| NPS | 20 | 62.5 |
| Small Business | 19.0% | 32.0% |
| Mid-Market | 19.0% | 16.0% |
| Enterprise | 61.9% | 52.0% |
| Total page views | 23 | 80 |
| Total LLM citations | 15 | 4 |
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.
SAS Visual Statistics
Multiple users can explore data, then interactively create and refine predictive models. Distributed, in-memory processing slashes model development time, quickly surfacing valuable insights you can act on.
- Ease of Use
- Machine Learning
- Analytics
- Customer Support
- Reporting
- Scalability