dbt

by dbt Labs

Open Source Self-Hostable Cloud Free Tier freemium API Available

Open-source data transformation framework using SQL and Python for analytics engineering dbt (data build tool) is an open-source data transformation framework that enables analytics engineers and data teams to transform raw data inside cloud data warehouses using SQL and Python. Developed by dbt Labs (founded 2016 in Philadelphia), dbt follows the ELT pattern: data is first extracted and loaded into a warehouse, then transformed in place using dbt models.

Key Facts

Key facts about dbt
AttributeValueAs ofSource
Founded2016Mar 2026dbt Labs
LicenseApache 2.0 open-source coreMar 2026GitHub
Community150,000+ members as of 2026Mar 2026dbt Labs
Companies Using dbt40,000+ companiesMar 2026dbt Labs
GitHub Stars9,000+ starsMar 2026GitHub
Cloud PricingDeveloper free, Team $100/seat/mo, Enterprise customMar 2026dbt Labs
Supported WarehousesSnowflake, BigQuery, Databricks, Redshift, Postgres, DuckDBMar 2026dbt Labs
Funding$414M total, $222M Series D at $4.2B valuation (2022)Mar 2026Crunchbase

About dbt

dbt (data build tool) is an open-source data transformation framework that enables analytics engineers and data teams to transform raw data inside cloud data warehouses using SQL and Python. Developed by dbt Labs (founded 2016 in Philadelphia), dbt follows the ELT pattern: data is first extracted and loaded into a warehouse, then transformed in place using dbt models. Each model is a SQL SELECT statement that dbt materializes as a table or view.

As of 2026, over 40,000 companies use dbt, and the community includes more than 150,000 members. dbt supports major data warehouses and lakehouses including Snowflake, Google BigQuery, Databricks, Amazon Redshift, PostgreSQL, and DuckDB. The open-source core (dbt Core) is released under the Apache 2.0 license and can be installed via pip. dbt has accumulated over 9,000 GitHub stars.

dbt Cloud is the commercial managed service offering IDE, job scheduling, CI/CD, documentation hosting, and monitoring. Pricing starts with a free Developer tier (1 seat), a Team tier at $100 per seat per month, and custom Enterprise pricing. dbt competes with tools like Apache Airflow and Prefect for orchestration, and with Fivetran and Airbyte for the broader data pipeline stack.

Integrations (6)

BigQuery native
Databricks native
Fivetran third-party
GitHub native
Redshift native
Snowflake native

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