{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/3"}],"enrichment":{"capability":"Integrates Apache Airflow with Teradata databases, providing operators, hooks, and connection management for building data pipelines that interact with Teradata.","skillfed_tags":["airflow-provider","teradata-integration","data-orchestration"],"use_cases":["Schedule and monitor recurring SQL queries or stored procedures against Teradata as part of a larger data pipeline.","Load data from external sources into Teradata tables on a scheduled basis using Airflow task orchestration.","Build multi-step ETL workflows where Teradata is one of several data sources or destinations.","Trigger Teradata operations conditionally based on upstream task results or external events in an Airflow DAG.","Integrate Teradata data operations with cloud storage (AWS S3, Azure Blob) using optional cross-provider dependencies."],"what_it_does":"This is an Apache Airflow provider package that adds Teradata database support to Airflow workflows. It supplies operators, hooks, and connection types that allow you to build data pipelines that query, load, or manage data in Teradata systems as part of your DAG tasks. The package wraps teradatasql and teradatasqlalchemy drivers and integrates with Airflow's common SQL provider framework.\n\nYou install it alongside an existing Airflow deployment (>=2.11.0) and configure Teradata connections through Airflow's UI or environment. Once configured, you can use Teradata operators in your DAGs to execute SQL, manage data movement, or orchestrate Teradata-dependent workflows. It supports Python 3.10 through 3.14 and is actively maintained by the Apache Airflow project.","worth_installing":"Yes. Install this if you are running Apache Airflow and need to orchestrate Teradata database operations. The package is actively maintained, has no known vulnerabilities, carries a permissive Apache-2.0 license, and integrates cleanly with Airflow's provider ecosystem. Verify that your Airflow version meets the >=2.11.0 requirement and that you have Teradata JDBC drivers available in your environment."},"id":"apache-airflow-providers-teradata","links":{"html":"https://skillfed.io/packages/apache-airflow-providers-teradata","md":"https://skillfed.io/packages/apache-airflow-providers-teradata.md","pypi":"https://pypi.org/project/apache-airflow-providers-teradata/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-08","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"apache-airflow-providers-teradata","python_support":"supports_current","summary":"Provider package apache-airflow-providers-teradata for Apache Airflow"},"popularity":{"monthly_downloads":471866,"position":6476,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.6.2"}