Azure Databricks vs. Snowflake
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Snowflake |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 240 | 762 |
| Ease of use | 8.9 | 9.2 |
| Ease of setup | 8.9 | 9.1 |
| Quality of support | 8.7 | 8.9 |
| Meets requirements | 9.0 | 9.3 |
| NPS | 68.691589 | 73.876404 |
| Small Business | 25.1% | 13.1% |
| Mid-Market | 27.6% | 44.9% |
| Enterprise | 47.3% | 42.1% |
| Total page views | 404 | 4,830 |
| Total LLM citations | 1,981 | 28,559 |
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
Snowflake
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).
- Ease of Use
- Features
- Data Management
- Scalability
- Integrations
- Performance