Amazon Web Services (AWS)
dbt
| Feature | ||
|---|---|---|
| Pricing | Free / from $0/mo | Free / from $100/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.6 / 5 |
| Best For | enterprises, startups, large-scale-applications, machine-learning-teams | data-teams, analytics-engineers, bi-teams, data-driven-companies |
| Founded | 2006 | 2016 |
| Compute Ec2 | ✓ | ✗ |
| Storage S3 | ✓ | ✗ |
| Serverless Lambda | ✓ | ✗ |
| Databases Rds | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Containers Ecs | ✓ | ✗ |
| Cdn Cloudfront | ✓ | ✗ |
| Sql Transformations | ✗ | ✓ |
| Data Testing | ✗ | ✓ |
| Documentation | ✗ | ✓ |
| Version Control | ✗ | ✓ |
| Scheduling | ✗ | ✓ |
| Lineage | ✗ | ✓ |
| Metrics Layer | ✗ | ✓ |
✓ Amazon Web Services (AWS) Pros
- Most extensive service catalog of any cloud provider
- Global infrastructure with 30+ regions worldwide
- 12-month free tier covering many services
- Mature enterprise tooling and compliance certifications
✗ Amazon Web Services (AWS) Cons
- Complex pricing that is hard to predict
- Steep learning curve with overwhelming service count
- Console UI feels dated compared to competitors
✓ dbt Pros
- Industry standard for data transformation in warehouses
- SQL-based (accessible to analysts, not just engineers)
- Excellent testing and documentation framework
- dbt Core is fully open-source and free
✗ dbt Cons
- dbt Cloud pricing can be steep for large teams
- Requires a data warehouse (does not store data)
- Learning curve for software engineering practices
The Verdict
Amazon Web Services (AWS) is built for enterprises and startups, with a focus on compute-ec2 and storage-s3. dbt targets data teams and analytics engineers and leads with sql-transformations and data-testing.
On pricing, Amazon Web Services (AWS) is the clear winner for budget-conscious users — starting at $0/mo compared to $100/mo for dbt. That $100/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.