dbt Cloud
The fastest way to build and deploy trusted data products.
Overview
dbt (data build tool) is a transformation workflow tool that helps data analysts and engineers transform data in their cloud data warehouses more effectively. In a data mesh, dbt is used within each domain to build, test, and document data products. It promotes software engineering best practices like version control, testing, and documentation for analytics code.
✨ Key Features
- SQL-based data transformation
- Automated testing and data quality checks
- Data documentation and lineage generation
- Version control integration (Git)
- Job scheduling and orchestration
- Web-based IDE
🎯 Key Differentiators
- Focus on the 'T' in ELT (transformation)
- Strong community and open-source core
- Brings software engineering practices to analytics
Unique Value: Empowers data domain teams to build high-quality, tested, and documented data products independently, which is a core tenet of data mesh.
🎯 Use Cases (4)
✅ Best For
- Domain teams using dbt to independently develop and deploy their data products
- Central platform teams providing dbt as a standardized tool for transformation
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Data extraction and loading (EL)
- Real-time data streaming
🏆 Alternatives
Provides a more structured and collaborative framework for SQL-based transformations than writing ad-hoc scripts or using complex orchestration tools.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: 1 Developer seat, 3,000 models run/month.
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