---
id: apache-airflow-providers-datadog
version: "3.10.5"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-providers-datadog — Provider package apache-airflow-providers-datadog for Apache Airflow

License: permissive · Maintenance: active · Downloads: 1.4M/mo

## What it is and what it does

This is an Apache Airflow provider package that bridges Airflow and Datadog, enabling you to send Airflow metrics, logs, and events to Datadog for centralized monitoring and alerting. It installs on top of an existing Airflow installation and exposes Datadog integration classes in the airflow.providers.datadog namespace, allowing DAG authors and operators to instrument their workflows with Datadog observability.

The package depends on apache-airflow (>=2.11.0), apache-airflow-providers-common-compat (>=1.10.1), and the datadog client library (>=0.50.0). It supports Python 3.10 through 3.14 and is actively maintained by the Apache Airflow project. Installation is straightforward via pip and requires only that you have Airflow already running.

Use it for:

- Send Airflow task execution metrics and DAG run events to Datadog for real-time monitoring dashboards.
- Configure Datadog alerts based on Airflow task failures, retries, or SLA violations.
- Centralize Airflow logs and custom application metrics in Datadog alongside infrastructure monitoring.
- Track workflow performance and resource usage trends over time using Datadog's analytics and visualization tools.
- Correlate Airflow events with other system metrics to troubleshoot workflow issues.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Integrates Apache Airflow with Datadog for monitoring, alerting, and observability of Airflow workflows and tasks.

Yes. This is a production-stable provider package (Development Status 5) actively maintained by Apache with no known vulnerabilities, low install friction, and permissive licensing. Install it if you run Airflow and use Datadog for observability and need to integrate the two platforms.

## Install

pip install apache-airflow-providers-datadog
uv add apache-airflow-providers-datadog
poetry add apache-airflow-providers-datadog

## Installing apache-airflow-providers-datadog

Before you install: Low install friction; pure Python wheel. Actively maintained with recent release (68 days old). Requires Apache Airflow >=2.11.0 and datadog >=0.50.0 as runtime dependencies.

License in practice: Licensed under Apache License 2.0 (permissive). Safe for commercial and private use with minimal restrictions.

Quickstart:

pip install apache-airflow-providers-datadog

from airflow.providers.datadog.hooks.datadog import DatadogHook

hook = DatadogHook(datadog_conn_id='datadog_default')
# Use hook to send metrics or events to Datadog

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

Verify before relying:

- Specific operators and sensors provided by this provider package beyond the hook interface.
- Whether metrics are automatically collected or require explicit instrumentation in DAGs.
- Support for custom tags, namespaces, or metric filtering at the provider level.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 1.4M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow datadog monitoring, airflow observability integration, datadog provider for airflow, airflow metrics to datadog, airflow task monitoring, datadog alerting airflow, airflow workflow observability, airflow-provider, monitoring-integration, datadog

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