{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database"}],"enrichment":{"capability":"dbt-spark is the Apache Spark adapter for dbt, enabling data transformation workflows in Spark using dbt's SQL and YAML-based modeling practices.","skillfed_tags":["data-transformation","spark-integration","elt-pipeline"],"use_cases":["Transform raw data in a Spark warehouse using dbt models, organizing and cleansing data for downstream analytics.","Build modular, testable data pipelines in Spark with version control and documentation via dbt's YAML and SQL interface.","Integrate Spark-based ELT workflows into a dbt Cloud or dbt Core project alongside other warehouse adapters.","Run local Spark development and testing using the docker-compose Thrift server setup for rapid iteration.","Manage Hive Metastore schemas and table lineage through dbt's metadata layer on top of Spark."],"what_it_does":"dbt-spark is a plugin that connects dbt (a data transformation tool built on SQL and YAML) to Apache Spark, allowing data engineers and analysts to apply software engineering practices\u2014version control, testing, documentation, modularity\u2014to Spark-based data pipelines. It handles the translation of dbt's declarative transformation models into Spark SQL, managing the execution and metadata tracking within a Spark cluster or local Thrift server.\n\nThe adapter sits between dbt-core and Spark, inheriting dbt's ecosystem (dbt-adapters, dbt-common) while adding Spark-specific connection logic and SQL dialect support. It is production-ready (Development Status 5), actively maintained, and supports modern Python versions (3.10\u20133.13) across Linux, macOS, and Windows.","worth_installing":"Yes. dbt-spark is production-ready, actively maintained, has no known vulnerabilities, low install friction, and a permissive license. Install it if you use Apache Spark and want to adopt dbt's transformation and testing practices. Ensure your Spark cluster is reachable and you have Python 3.10 or later."},"id":"dbt-spark","links":{"html":"https://skillfed.io/packages/dbt-spark","md":"https://skillfed.io/packages/dbt-spark.md","pypi":"https://pypi.org/project/dbt-spark/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-16","license_spdx":null,"license_treatment":"permissive","name":"dbt-spark","python_support":"supports_current","summary":"The Apache Spark adapter plugin for dbt"},"popularity":{"monthly_downloads":6546930,"position":1891,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.11.0"}