Azure Databricks vs. dbt
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | dbt |
|---|---|---|
| Overall rating | 4.5 | 4.7 |
| Review count | 240 | 209 |
| Ease of use | 8.9 | 9.1 |
| Ease of setup | 8.9 | 8.8 |
| Quality of support | 8.7 | 9.0 |
| Meets requirements | 9.0 | 9.3 |
| NPS | 68.691589 | 81.25 |
| Small Business | 25.1% | 27.1% |
| Mid-Market | 27.6% | 56.5% |
| Enterprise | 47.3% | 16.4% |
| Total page views | 404 | 780 |
| Total LLM citations | 1,981 | 4,329 |
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
dbt
dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.
- Ease of Use
- Features
- Automation
- Transformation
- Productivity Improvement
- Data Quality