Azure Databricks vs. Starburst
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Starburst |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 240 | 127 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 8.9 | 8.6 |
| Quality of support | 8.7 | 9.0 |
| Meets requirements | 9.0 | 9.0 |
| NPS | 68.691589 | 51.587302 |
| Small Business | 25.1% | 38.6% |
| Mid-Market | 27.6% | 23.6% |
| Enterprise | 47.3% | 37.8% |
| Total page views | 404 | 853 |
| Total LLM citations | 1,981 | 4,628 |
Azure Databricks
Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala.
- Ease of Use
- Features
- Integrations
- Speed
- Scaling
- Analytics
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