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dbt (Data Build Tool)

The T in ELT.

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Overview

dbt is a data transformation tool that enables data analysts and engineers to transform, test, and document data in the cloud data warehouse. It allows users to write modular SQL queries and handles the dependency management and execution of these queries. It's the 'T' (transformation) in the ELT (Extract, Load, Transform) paradigm.

✨ Key Features

  • SQL-based transformations
  • Version Control (Git integration)
  • Automated Testing
  • Data Documentation
  • Dependency Management
  • Macros and Jinja templating

🎯 Key Differentiators

  • Analytics engineering workflow
  • Open-source core with a large community
  • Focus on SQL and software engineering best practices

Unique Value: Brings software engineering best practices like version control, testing, and documentation to data transformation.

🎯 Use Cases (4)

Data modeling and transformation Building reusable data models Automating data quality testing Creating data lineage and documentation

✅ Best For

  • Building analytics-ready datasets from raw data
  • Implementing a hub-and-spoke data modeling architecture
  • CI/CD for analytics code

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Data extraction and loading (EL)
  • Real-time data streaming transformation

🏆 Alternatives

Matillion Custom ETL Scripts Dataform

More flexible and developer-friendly than GUI-based ETL tools, and more structured than writing raw SQL scripts.

💻 Platforms

Web (dbt Cloud) Desktop (dbt Core CLI)

✅ Offline Mode Available

🔌 Integrations

Snowflake BigQuery Redshift Databricks Postgres

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type 2

💰 Pricing

$100.00/mo
Free Tier Available

✓ 14-day free trial

Free tier: 1 developer seat, 3,000 models run/month

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