Apache Pig vs. Starburst
A side-by-side comparison based on G2 review data.
| Metric | Apache Pig | Starburst |
|---|---|---|
| Overall rating | 3.9 | 4.3 |
| Review count | 21 | 127 |
| Ease of use | 7.9 | 8.9 |
| Ease of setup | 8.0 | 8.6 |
| Quality of support | 6.3 | 9.0 |
| Meets requirements | 8.1 | 9.0 |
| NPS | 20 | 51.587302 |
| Small Business | 19.0% | 38.6% |
| Mid-Market | 19.0% | 23.6% |
| Enterprise | 61.9% | 37.8% |
| Total page views | 23 | 853 |
| Total LLM citations | 15 | 4,628 |
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.
Starburst
Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. Learn more at starburst.ai
- Fast Querying
- Query Efficiency
- Integrations
- Ease of Use
- Large Datasets
- Performance