dbt

Transform data in your warehouse with SQL

EstablishedOpen SourceLow lock-in

Pricing

Free tier

Hybrid

Adoption

Rising

License

Open Source

Data freshness

Verified · Jul 16, 2026

Overview

What is dbt?

dbt (data build tool) is the standard for data transformation in modern data stacks. It enables analysts and engineers to transform data in their warehouse by writing SQL select statements, with built-in testing, documentation, version control, and lineage tracking. Supports Snowflake, BigQuery, Redshift, Databricks, and more.

Key differentiator

Transform data in your warehouse with SQL

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

SQL-based transformations

Built-in testing

Auto-documentation

Lineage graphs

Incremental models

dbt Cloud IDE

Fit analysis

Who is it for?

✓ Best for

Analytics engineers and data teams who need reliable, tested, and documented data transformations

✕ Not a fit for

Real-time streaming data or ETL extract/load steps (dbt handles the T in ELT)

Cost structure

Pricing

Free Tier

Available

Starts at

Freemium

Model

Hybrid

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with dbt

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →