{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database"}],"enrichment":{"capability":"dbt-databricks is a dbt adapter that enables data transformation workflows on Databricks using SQL and Python, with native support for Delta tables and Unity Catalog.","skillfed_tags":["data-transformation","databricks-integration","dbt-adapter"],"use_cases":["Build and version-control dbt projects that transform data in Databricks using Delta tables and incremental materializations.","Organize multi-team data pipelines across catalogs and schemas using Unity Catalog's governance model.","Mix SQL and Python models in a single dbt project, routing Python models to specific compute via configuration.","Integrate dbt-databricks into CI/CD workflows or Databricks Jobs for automated data transformation runs.","Load external data (e.g., from S3) into Delta tables using dbt macros like databricks_copy_into.","Run data transformation workloads on Databricks with native Photon execution acceleration."],"what_it_does":"dbt-databricks is a plugin that connects the dbt data transformation framework to Databricks, allowing data analysts and engineers to build, test, and deploy SQL and Python transformations on the Databricks Lakehouse platform. It abstracts away the complexity of Databricks-specific SQL dialects and connection management, letting you write dbt models that compile to optimized Databricks SQL and Python code.\n\nThe adapter is purpose-built for Databricks rather than generic Spark, which means it takes advantage of Databricks-native features: Delta tables as the default format, Unity Catalog's three-level namespace (catalog/schema/relation) for governance, and the Photon vectorized execution engine for performance. It depends on dbt-core, dbt-spark, dbt-adapters, and Databricks' own Python SDKs to handle authentication, query execution, and metadata management.","worth_installing":"Yes. dbt-databricks is actively maintained, has no known vulnerabilities, and is the recommended adapter for dbt projects on Databricks. It has low install friction, permissive licensing, and integrates deeply with Databricks' native features. Install it if you are building dbt workflows on Databricks."},"id":"dbt-databricks","links":{"html":"https://skillfed.io/packages/dbt-databricks","md":"https://skillfed.io/packages/dbt-databricks.md","pypi":"https://pypi.org/project/dbt-databricks/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"dbt-databricks","python_support":"supports_current","summary":"The Databricks adapter plugin for dbt"},"popularity":{"monthly_downloads":9200485,"position":1554,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.12.4"}