dagster-datadog

What it is and what it does

dagster-datadog is an integration package that connects Dagster's data orchestration framework with Datadog's monitoring and observability platform. It allows you to send pipeline execution metrics, asset lineage events, and run status information to Datadog, enabling centralized monitoring of your data workflows alongside your broader infrastructure.

The package depends on both dagster and datadog as runtime requirements. It is designed for teams already using Datadog who want to observe their Dagster pipelines within their existing monitoring stack. The integration is actively maintained as part of the larger Dagster ecosystem and carries no known security vulnerabilities.

Use it for:

• Monitor Dagster asset materialization events and send them to Datadog dashboards for real-time visibility.
• Track pipeline execution times and resource usage by forwarding Dagster metrics to Datadog for performance analysis.
• Set up Datadog alerts triggered by Dagster run failures or asset quality issues.
• Correlate Dagster pipeline performance with infrastructure metrics already collected in Datadog.

Worth the install?

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

Integrates Datadog monitoring and observability with Dagster data pipelines, enabling metric collection, alerting, and performance tracking within Dagster's orchestration framework.

Yes, if you are already using Datadog for infrastructure monitoring and want to integrate Dagster pipeline observability into the same platform. The package is actively maintained, has no known vulnerabilities, and installs with low friction. Skip it if you don't use Datadog or prefer alternative observability tools.

Install

dagster-datadog on PyPI

pip install dagster-datadog

uv add dagster-datadog

poetry add dagster-datadog

Installing dagster-datadog

Before you install

Low friction install with two runtime dependencies (dagster and datadog). Package is actively maintained with a release on 2026-08-14 and no known vulnerabilities.

License in practice

Apache-2.0 licensed, a permissive open-source license that allows commercial use, modification, and distribution with minimal restrictions.

Quickstart

pip install dagster-datadog

import dagster as dg
from dagster_datadog import datadog_resource

Requires Python 3.10 or later (supports up to 3.14); requires both dagster and datadog packages to be installed and configured.

Verify before relying

• What specific Datadog metrics or events does this integration automatically emit from Dagster runs?
• Does the integration support custom metric definitions or only predefined Datadog metrics?
• Are there configuration examples or best practices documented for production deployments?

Package facts

Evidence: dagster_datadog-0.29.18-py3-none-any.whl

Tags

More Monitoring packages