apache-airflow-providers-datadog
Provider package apache-airflow-providers-datadog for Apache Airflow
Decision gist · record as of 2026-08-14
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.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 Datadog connection in Airflow.
- Low install friction; pure Python wheel.
- Actively maintained with recent release (68 days old).
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache License 2.0 (permissive). Safe for commercial and private use with minimal restrictions.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,412,445 downloads/mo, #3,935 on PyPI
Alternatives
Verify before relying
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- 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.
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 on this page. Verify before relying on it.
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
apache-airflow-providers-datadog on PyPI
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.
Requires an existing Apache Airflow installation (>=2.11.0) and a configured Datadog connection in Airflow.
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 DatadogVerify 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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesapache-airflowapache-airflow-providers-common-compatdatadog |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,412,445 / month, #3,935 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_datadog-3.10.5-py3-none-any.whl
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See also apache-airflow-providers-segment · apache-airflow-providers-asana · apache-airflow-providers-pagerduty · apache-airflow-providers-opsgenie · apache-airflow-providers-discord · apache-airflow-providers-apache-kylin · apache-airflow-providers-telegram · apache-airflow-providers-dingding · apache-airflow-providers-apprise · apache-airflow-providers-apache-flink