databricks/dbt-databricks
A dbt adapter for Databricks.
This tool helps data analysts and engineers transform raw data into clean, usable formats for reporting and analysis within the Databricks Lakehouse platform. It takes your raw data, applies your defined transformations using SQL, and outputs structured, reliable datasets ready for business intelligence and AI applications. It's designed for data professionals who need to manage and refine large datasets on Databricks.
338 stars. Used by 1 other package. Available on PyPI.
Use this if you are a data analyst or engineer working with data in Databricks and need to systematically transform, clean, and model your data using software engineering best practices.
Not ideal if your data transformation needs are outside of the Databricks environment, such as on Apache Spark hosted on other cloud platforms like AWS EMR.
Stars
338
Forks
189
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Dependencies
9
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/data-engineering/databricks/dbt-databricks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
growthbook/growthbook
Open Source Feature Flags, Experimentation, and Product Analytics
koopjs/koop
Transform, query, and download geospatial data on the web.
pathwaycom/pathway
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
dagster-io/dagster
An orchestration platform for the development, production, and observation of data assets.