Azure Data Lake Analytics vs. Apache Pig
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Analytics | Apache Pig |
|---|---|---|
| Overall rating | 4.2 | 3.9 |
| Review count | 37 | 21 |
| Ease of use | 8.6 | 7.9 |
| Ease of setup | 8.6 | 8.0 |
| Quality of support | 8.7 | 6.3 |
| Meets requirements | 8.8 | 8.1 |
| NPS | 50 | 20 |
| Small Business | 19.4% | 19.0% |
| Mid-Market | 27.8% | 19.0% |
| Enterprise | 52.8% | 61.9% |
| Total page views | 95 | 23 |
| Total LLM citations | 35 | 15 |
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.
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.