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apache-airflow-providers-ydb

Provider package apache-airflow-providers-ydb for Apache Airflow

apache-airflow-providers-ydb v2.5.3 135.4K downloads/30d#11,436 on PyPI46,491
Permissive license Apache-2.0 Active released

What it is and what it does

This is an Apache Airflow provider package that adds YDB database support to Airflow workflows. It supplies hooks, operators, and connection management classes that let you define and execute YDB queries as tasks within Airflow DAGs. The package depends on apache-airflow (>=2.11.0), the ydb client library (>=3.18.8), ydb-dbapi for DB-API compliance, and common Airflow provider utilities for SQL and compatibility layers.

The provider is actively maintained as part of the Apache Airflow ecosystem, with recent releases and no known security vulnerabilities. It targets modern Python versions (3.10 through 3.14) and is classified as production-stable. Installation is straightforward via pip on top of an existing Airflow setup, making it suitable for teams already running Airflow who need YDB integration.

Use it for:

  • Schedule and monitor YDB queries as part of larger Airflow data pipelines.
  • Extract data from YDB and pass results to downstream Airflow tasks.
  • Manage YDB connections and credentials centrally through Airflow's connection system.
  • Build ETL workflows that read from or write to YDB tables on a schedule.
  • Integrate YDB operations with other Airflow providers in multi-step DAGs.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Integrates YDB (a distributed SQL database) with Apache Airflow, providing hooks, operators, and connection management for YDB tasks in Airflow DAGs.

Yes, if you run Apache Airflow and need to orchestrate YDB tasks. The package is actively maintained, has no security vulnerabilities, uses a permissive license, and integrates cleanly into Airflow's provider ecosystem. Install friction is low and dependencies are well-defined. Not relevant if you don't use Airflow or don't need YDB connectivity.

Install

apache-airflow-providers-ydb on PyPI

pip

pip install apache-airflow-providers-ydb

uv

uv add apache-airflow-providers-ydb

poetry

poetry add apache-airflow-providers-ydb

Installing apache-airflow-providers-ydb

Before you install

Low friction install with active maintenance. Requires Apache Airflow >=2.11.0 and YDB >=3.18.8 as runtime dependencies; the provider package itself is a pure-Python wheel with no compiled dependencies.

License in practice

Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and license preservation.

Quickstart

pip install apache-airflow-providers-ydb

from airflow.providers.ydb.hooks.ydb import YdbHook
hook = YdbHook(ydb_conn_id='ydb_default')
result = hook.get_conn().execute('SELECT 1')

Requires an existing Apache Airflow installation (>=2.11.0) and a configured YDB connection in Airflow.

Verify before relying

  • What specific operators and hooks are available beyond the base connection layer.
  • Whether the provider supports YDB-specific features like transactions or distributed queries.
  • Performance characteristics when executing large result sets through Airflow.

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 5 — apache-airflow, apache-airflow-providers-common-compat, apache-airflow-providers-common-sql, ydb, ydb-dbapi
Maintenance actively maintained — 68 days since the last release
Last repo commit
First released
Downloads 135,366/month — #11,436 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: apache_airflow_providers_ydb-2.5.3-py3-none-any.whl

Keywords: airflow-provider, ydb, airflow, integration

Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring

Tags

airflow ydb providerydb airflow integrationairflow database operatorsydb sql tasks airflowairflow ydb connectiondistributed database airflowydb dag tasks
airflow-providerydb-integrationworkflow-orchestration

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