Comparison

Apache Airflow vs Argo Workflows

On the evidence we track, Apache Airflow leads this comparison with a composite score of 69/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★Apache Airflow69
Argo Workflows43
Score
vioscaleAI score
Apache Airflow69 / 100medium · 66%
Argo Workflows43 / 100low · 23%
Pricing
Free tier
Apache Airflow✓
Argo Workflows–
Model
Apache Airflowopen_source
Argo Workflowsopen_source
Price level
Apache Airflowfree
Argo Workflowsfree
Transparent
Apache Airflow✓
Argo Workflows–
Integrations
Count
Apache Airflow54
Argo Workflows–
Adoption
Dependent repos
Apache Airflow189
Argo Workflows88,656
Github stars
Apache Airflow47,054
Argo Workflows7,418
Package downloads weekly
Apache Airflow1,607,065
Argo Workflows–
Activity
Commits last 30d
Apache Airflow100
Argo Workflows1
Release
Cadence days
Apache Airflow14
Argo Workflows224
History
Apache Airflow20 items
Argo Workflows7 items
License
Spdx
Apache AirflowApache-2.0
Argo WorkflowsMIT
Language
Primary
Apache AirflowPython
Argo WorkflowsTypeScript
Content
Faq
Apache Airflow6 items
Argo Workflows4 items

Features

The capabilities each product documents. These tools do not share a category taxonomy, so this aligns what each vendor states rather than a normalised feature set.

Declared feature comparison
FeatureApache AirflowArgo Workflows
Connector count100+-
Data quality✓-
Dbt native✓-
Distributed executor✓-
Incremental runs✓-
Lineage✓-
Managed cloud✓-
Paradigmbatch-
Python first✓-
Roleorchestrator-
Self hosted oss✓-

What each one is

The product in its own terms, so the numbers below have context.

Apache Airflow

Leader

Apache Airflow is a workflow orchestration platform that enables users to define data pipelines in Python and schedule their execution across distributed workers. It provides a web interface for visualization and monitoring, plus extensive integrations with cloud platforms and services.

Independently observed

Argo Workflows

Enables automated workflow orchestration on Kubernetes, supporting event-triggered execution and deployment automation patterns.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Apache Airflow

Leader
Open source
as of verify ↗

Argo Workflows

Open source
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Apache Airflow✓
Argo Workflows–
macOS
Apache Airflow✓
Argo Workflows–
Linux
Apache Airflow✓
Argo Workflows–
CLI
Apache Airflow✓
Argo Workflows–
Deployment
Cloud / SaaS
Apache Airflow✓
Argo Workflows✓
Self-hosted
Apache Airflow✓
Argo Workflows✓
On-premise
Apache Airflow✓
Argo Workflows✓
Hybrid
Apache Airflow✓
Argo Workflows✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Apache Airflow

Leader
61 total
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Databricks
  • Snowflake
  • dbt Cloud
  • Slack
  • Salesforce
  • Tableau
  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • Kubernetes
  • Docker
  • Apache Spark
  • Apache Kafka
  • Apache Cassandra
  • Apache Flink
  • Apache Druid
  • Elasticsearch
  • Datadog
  • Jenkins
  • GitHub
  • +37 more
Independently observed

Argo Workflows

Not documented yet.

Still deciding?

Apache Airflow or Argo Workflows: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.