AWS Data Pipeline vs. dbt
A side-by-side comparison based on G2 review data.
| Metric | AWS Data Pipeline | dbt |
|---|---|---|
| Overall rating | 4.1 | 4.7 |
| Review count | 24 | 209 |
| Ease of use | 8.8 | 9.1 |
| Ease of setup | 7.3 | 8.8 |
| Quality of support | 8.6 | 9.0 |
| Meets requirements | 9.2 | 9.3 |
| NPS | 47.619048 | 81.25 |
| Small Business | 12.5% | 27.1% |
| Mid-Market | 58.3% | 56.5% |
| Enterprise | 29.2% | 16.4% |
| Total page views | 78 | 780 |
| Total LLM citations | 73 | 4,329 |
AWS Data Pipeline
AWS Data Pipeline is a web service that helps you process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.
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