DBT Labs
Analytics engineering platform for transforming data in the warehouse with SQL
About DBT Labs
dbt Labs created dbt, the open source framework that lets teams build, test and document data transformations in SQL, and sells the managed dbt platform. It includes the Fusion engine and a semantic layer for consistent metrics. dbt Labs completed a merger with Fivetran in June 2026.
Common use cases
- Warehouse transformation
- Analytics engineering
- Metric standardization
- Data quality testing
Products and services
dbt Core
Open source transformation framework.
dbt platform
Managed environment for development, scheduling and observability.
dbt Fusion engine
Newer SQL engine for faster parsing and development.
dbt Semantic Layer
Centrally defined metrics served to downstream tools.
Key features
- SQL transformations
- Automated testing
- Documentation and lineage
- CI/CD
- Semantic layer
- Version control
Integrations
- Snowflake
- Databricks
- Google BigQuery
- Amazon Redshift
- Git
- Airflow
- Fivetran
DBT Labs alternatives
FAQs
Is dbt free?
dbt Core is open source; the managed platform is a paid product with tiers.
Which warehouses are supported?
Snowflake, Databricks, BigQuery, Redshift and others via adapters.
What changed in 2026?
dbt Labs completed a merger with Fivetran.

Compare with similar providers
All Data Infrastructure providers- Ab Initio SoftwareEnterprise platform for building and running high-volume data processing applications
AerospikeReal-time NoSQL database built for low-latency, high-throughput workloads
AlteryxAnalytics automation platform for data preparation, blending and analysis- AltimateAI agents for data engineering, dbt development and warehouse cost optimization
- AmdocsSoftware and services for telecom and media, including an AI and data platform
- AmperityCustomer data platform with identity resolution for enterprise brands
- AmphiLow-code Python-based ETL tool
- Analytics8Data and analytics consultancy for modernization, engineering and BI
Become a Sponsor





