Workflow orchestration · Cloud Native Computing Foundation (CNCF)

Argo Workflows

Kubernetes-native workflow engine that runs each pipeline step as a container, defined as Kubernetes custom resources (CRDs).

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Argo Workflows is an open-source, Kubernetes-native workflow engine where each step of a pipeline runs as its own container, and the workflow itself is defined as a Kubernetes Custom Resource Definition (CRD) rather than in a separate scheduler process. This makes it a natural fit for teams already operating on Kubernetes who want orchestration to inherit the same deployment, scaling, and RBAC model as the rest of their infrastructure, rather than running a dedicated orchestrator service. It supports DAG- and step-based workflows, artifact passing between steps, parallel fan-out (useful for CI/CD and ML training jobs as well as data pipelines), and cron-based scheduling via a companion Argo Events/Argo CronWorkflows setup. Argo Workflows is a CNCF graduated project with no first-party managed cloud offering; commercial support and hosted variants come from third parties such as Akuity. It is commonly paired with Kubeflow for ML pipelines or used directly for general CI/CD and batch orchestration.

At a glance

Vendor Cloud Native Computing Foundation (CNCF)
Pricing model Open source + paid options
Free tier Yes
Deployment Self-hosted
Open source Yes (Apache-2.0)
Best for Kubernetes-native teams wanting orchestration that runs as containers and inherits existing K8s tooling.

Pricing

Argo Workflows is free, open-source software; it has no vendor-hosted product, though third parties sell managed/support offerings.

Pricing has not been verified yet — see the vendor's site.

Features

  • Workflows defined as Kubernetes Custom Resources (CRDs)
  • Each pipeline step runs as an isolated container
  • DAG- and step-based workflow templates
  • Artifact passing between steps (S3, GCS, and more)
  • Massive parallelism/fan-out for batch and ML jobs
  • Cron scheduling and event-driven triggers (via Argo Events)
  • CNCF-graduated, vendor-neutral governance

Integrations

Profile last reviewed September 21, 2026

Alternatives

Apache Airflow The de facto standard open-source workflow orchestrator, defining pipelines as Python DAGs of scheduled, dependent tasks. Flyte Kubernetes-native orchestrator for ML and data pipelines with strong typing between tasks, built for reproducibility at scale. Temporal Durable-execution platform for building fault-tolerant application logic in code, used for microservice orchestration far beyond data pipelines.

Argo Workflows in the index now

Terms to know

Data pipeline The automated sequence of steps that moves data from source systems to a destination, transforming it along the way. Role-based access control (RBAC) Granting data or system permissions based on a user's assigned role rather than configuring access for each person individually. Workflow orchestration Scheduling, sequencing and monitoring interdependent data tasks so each step runs only after the ones it depends on succeed.

Related guides

How to choose a workflow orchestrator Pick a workflow orchestrator by pipeline shape, who owns it, and whether you already run Kubernetes — not by the demo DAG.