Apache Pig vs. Azure Data Lake Analytics
A side-by-side comparison based on G2 review data.
| Metric | Apache Pig | Azure Data Lake Analytics |
|---|---|---|
| Overall rating | 3.9 | 4.2 |
| Review count | 21 | 37 |
| Ease of use | 7.9 | 8.6 |
| Ease of setup | 8.0 | 8.6 |
| Quality of support | 6.3 | 8.7 |
| Meets requirements | 8.1 | 8.8 |
| NPS | 20 | 50 |
| Small Business | 19.0% | 19.4% |
| Mid-Market | 19.0% | 27.8% |
| Enterprise | 61.9% | 52.8% |
| Total page views | 23 | 95 |
| Total LLM citations | 15 | 35 |
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.
Azure Data Lake Analytics
Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.