apache-airflow-providers-mongo
Provider package apache-airflow-providers-mongo for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. Install this if you run Apache Airflow and need to orchestrate MongoDB operations. Low install friction, active maintenance, no vulnerabilities, and permissive licensing make it a straightforward addition to an Airflow environment. Requires Airflow >=2.11.0 and Python >=3.10.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow >=2.11.0 and Python >=3.10; MongoDB server must be accessible via configured connection.
- Low friction installation as a wheel.
- Active maintenance with recent release (83 days old) and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most organizational contexts.
last release 2026-05-23 (83 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,648,888 downloads/mo, #3,685 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-mongo
from airflow.providers.mongo.operators.mongo import MongoOperator
from airflow import DAG
with DAG('mongo_example') as dag:
task = MongoOperator(mongo_conn_id='mongo_default', task_id='query_mongo')- Specific operators and hooks available beyond what the description excerpt states
- Whether the package supports MongoDB Atlas or only self-hosted instances
- Performance characteristics for large-scale data transfers
What it is and what it does
This is an Apache Airflow provider package that extends Airflow's orchestration capabilities to work with MongoDB. It supplies operators, hooks, and connection types that allow DAG tasks to authenticate to MongoDB instances, execute queries, and manage data workflows. The package depends on pymongo for the actual MongoDB client library and dnspython for DNS resolution, and integrates with Airflow's connection and credential management system.
You install it on top of an existing Airflow deployment to add MongoDB-specific task types to your DAGs. It is maintained as part of the Apache Airflow project and supports current Python versions (3.10 through 3.14). The package is production-stable and actively maintained, with no known security vulnerabilities.
Use it for
- Extract data from MongoDB collections as part of a scheduled ETL pipeline in Airflow
- Load transformed data into MongoDB from upstream tasks or external sources
- Query MongoDB for validation or monitoring checks within a DAG workflow
- Manage MongoDB operations (index creation, collection cleanup) as orchestrated tasks
- Integrate MongoDB data sources with multi-step Airflow data pipelines
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Install this if you run Apache Airflow and need to orchestrate MongoDB operations. Low install friction, active maintenance, no vulnerabilities, and permissive licensing make it a straightforward addition to an Airflow environment. Requires Airflow >=2.11.0 and Python >=3.10.
Install
apache-airflow-providers-mongo on PyPI
Before you install
Low friction installation as a wheel. Active maintenance with recent release (83 days old) and no known vulnerabilities. Requires Apache Airflow >=2.11.0 and modern Python (3.10+).
Requires Apache Airflow >=2.11.0 and Python >=3.10; MongoDB server must be accessible via configured connection.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most organizational contexts.
Quickstart
pip install apache-airflow-providers-mongo
from airflow.providers.mongo.operators.mongo import MongoOperator
from airflow import DAG
with DAG('mongo_example') as dag:
task = MongoOperator(mongo_conn_id='mongo_default', task_id='query_mongo')Verify before relying
- Specific operators and hooks available beyond what the description excerpt states
- Whether the package supports MongoDB Atlas or only self-hosted instances
- Performance characteristics for large-scale data transfers
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesapache-airflowapache-airflow-providers-common-compatdnspythonpymongo |
| Maintenance | Actively maintained 83 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,648,888 / month, #3,685 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_mongo-5.4.0-py3-none-any.whl
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See also apache-airflow-providers-zendesk · apache-airflow-providers-asana · apache-airflow-providers-qdrant · apache-airflow-providers-neo4j · apache-airflow-providers-vertica · apache-airflow-providers-sendgrid · apache-airflow-providers-git · apache-airflow-providers-arangodb · gdbmongo · pydantic-mongo