apache-airflow-providers-ydb
Provider package apache-airflow-providers-ydb for Apache Airflow
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow installation (>=2.11.0) and a configured YDB connection in Airflow.
- 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 · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and license preservation.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,491 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 135,366 downloads/mo, #11,436 on PyPI
Alternatives
Verify before relying
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')- 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.
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 on it.
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
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.
Requires an existing Apache Airflow installation (>=2.11.0) and a configured YDB connection in Airflow.
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')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 packagesapache-airflowapache-airflow-providers-common-compatapache-airflow-providers-common-sqlydbydb-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 |
| Classifiers | 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 |
Evidence: apache_airflow_providers_ydb-2.5.3-py3-none-any.whl
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See also apache-airflow-providers-apache-druid · apache-airflow-providers-vertica · apache-airflow-providers-arangodb · apache-airflow-providers-odbc · apache-airflow-providers-microsoft-mssql · ydb · apache-airflow-providers-apache-drill · apache-airflow-providers-neo4j · apache-airflow-providers-sqlite · apache-airflow-providers-mysql