{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/2"}],"enrichment":{"capability":"Provides ODBC database connectivity operators and hooks for Apache Airflow workflows, enabling scheduled tasks to query and interact with ODBC-compatible databases.","skillfed_tags":["airflow-provider","odbc-integration","data-pipeline"],"use_cases":["Schedule daily SQL queries against a corporate SQL Server database and load results into a data warehouse.","Build a multi-step ETL pipeline where one task extracts data via ODBC and passes it to downstream transformation tasks.","Monitor database health by running periodic ODBC queries and alerting on anomalies.","Synchronize data between an ODBC source and a cloud data lake on a fixed schedule.","Integrate legacy database systems (accessible only via ODBC) into modern Airflow-based data workflows."],"what_it_does":"This is an Apache Airflow provider package that adds ODBC database support to Airflow workflows. It wraps pyodbc to deliver operators and hooks that let you define Airflow tasks that execute SQL queries against any ODBC-compatible database\u2014SQL Server, PostgreSQL via ODBC, MySQL, and others\u2014on a schedule or as part of a larger DAG. The package integrates with Airflow's connection management and common SQL provider framework, so you configure your ODBC connection once in Airflow and reference it by name in your tasks.\n\nInstallation is straightforward: it's a pure Python wheel with low friction, depending only on Apache Airflow, two common Airflow provider packages, and pyodbc itself. The package is actively maintained, supports Python 3.10 through 3.14, and carries no known security vulnerabilities. It's aimed at data engineers and system administrators building scheduled data pipelines that need to read from or write to ODBC databases.","worth_installing":"Yes. This is a stable, actively maintained provider package for a common use case\u2014ODBC database integration in Airflow. Install friction is low, the license is permissive, there are no known vulnerabilities, and it supports current Python versions. Install it if you need to orchestrate ODBC database tasks in Airflow; skip it if you don't use Airflow or don't need ODBC connectivity."},"id":"apache-airflow-providers-odbc","links":{"html":"https://skillfed.io/packages/apache-airflow-providers-odbc","md":"https://skillfed.io/packages/apache-airflow-providers-odbc.md","pypi":"https://pypi.org/project/apache-airflow-providers-odbc/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-07","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"apache-airflow-providers-odbc","python_support":"supports_current","summary":"Provider package apache-airflow-providers-odbc for Apache Airflow"},"popularity":{"monthly_downloads":1982575,"position":3386,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"4.12.3"}