dbt Labs / getdbt.com
AI-powered data transformation platform providing SQL-based data modelling, AI documentation generation, and semantic layer for analysts and data engineers building trusted data pipelines.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
3
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
3
dbt (data build tool) is the standard for data transformation — enabling analytics engineers to transform raw data in cloud data warehouses using SQL and software engineering best practices (version control, testing, documentation). dbt Labs AI enhances the transformation workflow with AI-generated documentation, AI-assisted SQL generation, and AI-powered data exploration. AI-generated documentation automatically creates descriptions for dbt models, columns, and tests — reducing the manual documentation work that makes warehouse data opaque to downstream consumers. dbt Copilot assists analytics engineers in writing dbt transformations — generating SQL from natural language descriptions, explaining existing model logic, and suggesting optimisations. The Semantic Layer (dbt Semantic Layer) provides a central metric definition layer — defining business metrics (revenue, DAU, conversion rate) once in dbt and making them consistently available across BI tools (Tableau, Looker, Mode) without each tool maintaining its own metric logic. dbt Cloud is the managed platform providing a browser-based IDE, orchestration, CI/CD for data pipelines, and collaboration features alongside dbt Core (the open-source CLI). With adoption at thousands of data-driven companies including Shopify, GitLab, and JetBlue, dbt validates as essential data engineering infrastructure.
dbt Labs AI runs as llm assistant software built around code and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, cli, and api, with API access for teams that want to embed it into their own products.
The capabilities that matter most for teams evaluating dbt Labs AI.
AI SQL generation, model explanation, and documentation generation — assisting analytics engineers in writing, understanding, and documenting data transformations.
Central metric definitions consistently shared across BI tools — eliminating the metric inconsistency that arises when each BI tool maintains its own revenue and KPI calculation logic.
Open-source SQL transformation framework with version control, testing, and documentation — the foundational tool defining analytics engineering as a software-engineering discipline applied to data.
dbt Core open source (free). dbt Cloud Developer free. Team $100/seat/month. Enterprise custom.
Model
Open Source
Starting price
Free
Free trial
No
SQLMesh provides modern dbt alternative. Coalesce provides visual data transformation. Apache Airflow provides data orchestration. Fivetran (covered) provides data movement to feed dbt. Informatica (covered) provides enterprise data management.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, dbt Labs
Platforms
Web, CLI, API
Deployment
Open Source, SaaS
Integrations
Snowflake, BigQuery, Redshift, Databricks, Tableau, Looker, API
Team Collaboration
Yes
Launch Year
2023
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
SQL transformation code and data warehouse metadata processed on dbt Cloud. Data remains in the customer's cloud data warehouse — dbt does not store the actual data.
Editorial Verdict
dbt is the essential AI data transformation platform for analytics engineers wanting SQL-based modelling, AI documentation, and a consistent semantic layer across all BI tools.
Last verified July 24, 2026.
dbt Core open source (free). dbt Cloud Developer free. Team $100/seat/month. Enterprise custom.
Developer plan free (1 seat). Team $50/seat/month. Enterprise custom.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
SQL transformation code and data warehouse metadata processed on dbt Cloud. Data remains in the customer's cloud data warehouse — dbt does not store the actual data.
SQL transformation code and metadata processed on dbt Cloud infrastructure. Source data remains in customer's data warehouse — dbt only accesses query metadata, not underlying data rows.
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