Transform data in your warehouse with SQL
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197 reviews trackedThe Bottom Line
Entry price
From $100/mo (free plan available)
Biggest pro
Industry standard
Biggest con
Learning curve
TL;DR - dbt
- Data transformation tool for analytics engineers
- SQL-based modeling with version control
- Industry standard for modern data stacks
Pricing: Free plan available
Best for: Growing teams
4.7/5 across review platforms
What is dbt?
dbt transforms data in your warehouse using SQL. Write SELECT statements, and dbt handles dependencies, testing, and documentation-software engineering practices applied to analytics code.
Version control for transformations. Tests ensure data quality. Documentation generates automatically from code.
Data teams treat dbt as essential because it brought engineering discipline to analytics workflows that used to be undocumented SQL scripts.
Available on: Web
Pros & Cons
Pros
- Industry standard
- Great community
- Excellent documentation
- Free tier available
Cons
- Learning curve
- Requires SQL knowledge
- Cloud pricing can add up
Ratings Across the Web
4.7(197 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
SQL transformationsVersion controlTestingDocumentationLineageSchedulingIDE
Pricing Plans
Free TrialPricing checked Jul 9, 2026
Developer
Free
Free tier
- 1 developer seat
- 3K models/month
- 1 project
- Browser IDE
- Job scheduling
Starter
$100/per user/month
Small teams
- 5 developer seats
- 15K models/month
- dbt Catalog
- dbt Semantic Layer
- API access
Enterprise
null
Large orgs
- 100K models/month
- 30 projects
- dbt Mesh
- dbt Canvas
- Cost optimization
Reviews
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4.7/5
Across 197 verified user reviews on G2
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dbt FAQ
How does dbt help data teams manage their analytics code?
dbt allows data teams to apply software engineering practices to their analytics code by enabling version control for transformations. It helps manage dependencies between data models and automates testing to ensure data quality within the warehouse.
What kind of user benefits most from dbt?
dbt is ideal for data analysts and engineers who are comfortable with SQL and want to bring more discipline and reliability to their data transformation workflows. It helps teams maintain high data quality and provides automatic documentation for their analytics projects.
How is dbt priced?
dbt offers a free tier for users to get started with its core functionalities. For organizations requiring more extensive usage or advanced features, paid plans are available.
Can dbt be used for data quality assurance?
Yes, dbt includes testing capabilities that allow users to define and run tests on their data transformations. These tests help ensure the quality and integrity of the data within the warehouse.
How does dbt compare to tools like Looker for data transformation?
dbt focuses specifically on transforming data within the warehouse using SQL, applying software engineering principles like version control and testing to the process. Looker, while also working with data, is primarily a business intelligence and data visualization platform that sits on top of transformed data.
What are the main trade-offs when adopting dbt?
Adopting dbt requires users to have SQL knowledge and presents a learning curve for those new to its methodology. Additionally, for cloud-based implementations, the associated cloud infrastructure costs can accumulate.
How does dbt generate documentation for data models?
dbt automatically generates documentation directly from the analytics code written by users. This feature ensures that data models are well-documented and understandable, improving collaboration and maintainability for data teams.
Source: getdbt.com