Azure Data Lake Analytics vs. dbt
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Analytics | dbt |
|---|---|---|
| Overall rating | 4.2 | 4.7 |
| Review count | 37 | 209 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.6 | 8.8 |
| Quality of support | 8.7 | 9.0 |
| Meets requirements | 8.8 | 9.3 |
| NPS | 50 | 81.25 |
| Small Business | 19.4% | 27.1% |
| Mid-Market | 27.8% | 56.5% |
| Enterprise | 52.8% | 16.4% |
| Total page views | 95 | 780 |
| Total LLM citations | 35 | 4,329 |
Azure Data Lake Analytics
Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.
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