Apache Spark for Azure HDInsight vs. Starburst
A side-by-side comparison based on G2 review data.
| Metric | Apache Spark for Azure HDInsight | Starburst |
|---|---|---|
| Overall rating | 4.1 | 4.3 |
| Review count | 13 | 127 |
| Ease of use | 8.8 | 8.9 |
| Ease of setup | 8.9 | 8.6 |
| Quality of support | 8.7 | 9.0 |
| Meets requirements | 8.7 | 9.0 |
| NPS | 30.769231 | 51.587302 |
| Small Business | 16.7% | 38.6% |
| Mid-Market | 58.3% | 23.6% |
| Enterprise | 25.0% | 37.8% |
| Total page views | 105 | 853 |
| Total LLM citations | 29 | 4,628 |
Apache Spark for Azure HDInsight
Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.
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