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Apache Airflow vs Windmill (2026): which should you pick?

As of Nov 13, 2026, Windmill grades higher than Apache Airflow: 2.6 against 2.4 out of 4.0.

Checked Oct 6, 2026 and Nov 13, 2026 · graded Oct 10, 2026 and Nov 13, 2026 by ToolGPA

Apache Airflow grades higher on the free plan. Windmill grades higher on value for money and features. They get the same grade on ease of use and platforms.

Price, platforms and features side by side. The table says where each price was read and when.

Apache Airflow

Open-source platform for authoring and scheduling workflows in Python

Free

Windmill

Open-source platform for scripts, workflows and internal apps

Free plan · from $10/mo

Which one is for you

Pick Apache Airflow if

  • Fits if you write Python and already run your own servers
  • Works for teams that want workflows defined as code with no licence fee

Look elsewhere if

  • Skip it if you want a drag-and-drop builder, as workflows are Python only
  • Not for you if you have nobody to install, upgrade and secure it
  • Tight if you need paid support, because the project lists community help only
  • Watch out: managed hosting means a separate vendor and a separate bill

Pick Windmill if

  • Fits if your automations are a pile of cron jobs and stray scripts that need one home
  • Works for engineering teams who want every change reviewed as a diff before it goes live

Look elsewhere if

  • Skip it if nobody on the team writes code, because most steps are written in a programming language
  • Tight if you're on Cloud Free, where each extra second of compute counts as another of your 1,000 executions
  • Tight if you self-host for free, as Community stops at 3 workspaces and 50 users and keeps run details for 30 days
  • Pricey if you self-host and need audit logs or SAML, as that's Enterprise from $120 a month
  • Watch out: there's no connector library, and paid self-hosted instances report seat and memory use to Windmill

How we grade them

2.4GPAApache AirflowFair2.6GPAWindmillGood
Value for money
CNo licence fee, but it only runs if you host it, so you pay for a server and someone's time. Managed versions such as Astro are billed separately.
BCloud Team is $10 a seat a month with 10,000 executions in each seat, which sits inside this category's lowest-priced quarter, under $15. Self-hosting costs more, oddly: Pro is $48 a month minimum and only open to firms under 10 people, and audit logs or SAML mean Enterprise from $120.
Free plan and trial
AFree outright with no caps from the project. The cost is the hosting, not the software.
BThe Community Edition is free and open source with unlimited executions for up to 50 users, which a small team could run on forever, as long as somebody is willing to look after Docker or Kubernetes. The no-effort route, Cloud Free, is thinner: 1,000 executions a month, no card.
Features
CScheduling, monitoring and a large set of integrations for clouds. There's no visual builder in the core project, and the site lists no paid support plan.
BFor an engineering team it covers the job: scripts in 20-odd languages turned into endpoints, flows with retries, approvals and parallel branches, internal apps in React or Svelte, AI agents across 12 model providers, and forks, diffs and rollback. What it hasn't got is a connector library.
Ease of use
DNo store rating on record. Workflows are written in Python and you install and operate it yourself.
DNo rating on record, and the listing is blunt about it: scripts and most flow steps are written in a programming language. The free edition means hosting it yourself with Docker or Kubernetes. Hand this to someone who doesn't code and nothing happens.
Platforms and integrations
BWeb interface, with integrations for Google Cloud, AWS and Azure. No phone apps and no desktop app.
BWeb only, with nothing for phones or the desktop, though you can run it on Windmill Cloud or your own Docker or Kubernetes. It reaches GitHub, GitLab, Slack, Stripe, Snowflake and PostgreSQL, and every script you write becomes an API endpoint.
Best forscheduling Python workflows you host yourselfengineers who want automations kept as code

The GPA is the average of the five grades: an A is 4 points, an F is none. The full reasons are on each tool's page: Apache Airflow and Windmill. How we grade

Price against what you get

Apache Airflow has no paid plan and scores 2.0 out of 4 on features, ease of use and platforms. Windmill starts at $10 a month for each person and scores 2.3.

Windmill scores higher, and starts $10 a month higher: the question is whether the extra is worth that to you. Of the other automation tools on the chart, none scores higher than Apache Airflow for less, and 3 score higher than Windmill for less.

Features, ease of use and platforms, averaged

D1.0C2.0B3.0A4.0Free$1$2$5$10$20$50$100$200$500$1k$2k$5kMore for lessCosts more, scores moreCosts less, scores lessCosts more, scores lessApache AirflowWindmill

What paid plans start at, a month (each step along is roughly double) →

  • The best score at each price
  • Has a free plan
  • No free plan
The full chart of automation tools, and the best at every price

Where they differ

  • Windmill also covers AI agents and app builder.
In commonFree planWebOpen sourceSelf-hostablePublic APIWorkflow automation

At a glance

Apache AirflowWindmill
PricingFreeFree plan
Starts atFree$10 per seat / month (Cloud Team); self-hosted Pro from $48 / month
Free planNoneSelf-hosted Community Edition: unlimited executions, up to 3 workspaces and 50 users. Windmill Cloud Free: 1,000 executions a month, with no credit card required.
Free trialNone listedOne-month free trial of the self-hosted Enterprise Edition
Web
Made byApache Software FoundationWindmill Labs, Inc.
Price read fromairflow.apache.orgwindmill.dev
CheckedNov 13, 2026Oct 6, 2026

Worth knowing

Apache Airflow

  • You install, upgrade, secure and scale it yourself unless you buy a managed service such as Astronomer's Astro.
  • The project's site lists a community, meetups and a Slack for help; it offers no paid support plan.
  • Defining workflows requires Python knowledge; there is no visual builder in the core project.

Windmill

  • Windmill is code-first: scripts and most flow steps are written in a programming language, so it suits engineers more than non-technical users.
  • The free self-hosted edition stops at 3 workspaces, 50 users and 10 SSO users, has no audit logs and keeps run details for up to 30 days.
  • Cloud Free covers 1,000 executions a month, and an execution is one job of under a second; each extra second of compute counts as another.
  • Enterprise and Pro bill at least 2 compute units, and their instances report seat and memory use to Windmill through license telemetry.

Key features

Apache Airflow

Pipelines as Python code
Workflows are written in Python, so loops and date logic can generate tasks dynamically, with Jinja templating built in for parameters.
Web interface
A web application shows the status and logs of running and finished tasks, and lets you schedule and manage workflows.
Scalable architecture
A modular design with a message queue lets Airflow spread work over any number of workers.
Provider integrations
Ready-made operators cover Google Cloud, Amazon Web Services, Microsoft Azure and other third-party services, and you can write your own.
AI provider
The Common AI provider reached 1.0 in October 2026, covering agents, sandboxes, human approval and retries for LLM work in pipelines.

Windmill

Scripts in more than 20 languages
A function in TypeScript, Python, Go, Rust, Bash, SQL, PHP or another supported language becomes an API endpoint and a form. Imports are resolved and versions locked at each deploy.
Workflows as a graph or as code
Flows are drawn in a flow editor or written in Python or TypeScript and called as an API endpoint. Retries, approval steps and parallel branches are built in.
Internal apps
An app is a React or Svelte frontend whose backend is your existing scripts and workflows. It can be shared with teams, published publicly or embedded in another product.
AI agents and AI-assisted building
Agents run on any of 12 model providers or your own OpenAI-compatible endpoint, with scripts and MCP servers as their tools. Scripts and flows can also be generated with AI in the UI.
Forks, review and rollback
Changes are made in a fork of the workspace, reviewed as a diff, then deployed to staging and production. Each deployment keeps its version, so an earlier one can be redeployed.
Run history and observability
Every run keeps its inputs, logs and result, and a failure can alert a team on Slack, Teams or by email. Enterprise adds audit logs, queue metrics and OpenTelemetry tracing.

Plans

Apache Airflow

  • Open source$0

    Apache-2.0 licensed software you install and run yourself; hosting and operations costs are yours.

Windmill

  • Free and Open-source$0

    Self-hosted Community Edition with unlimited executions, capped at 3 workspaces, 50 users, 4 groups and 10 SSO users. Community support on Discord.

  • Free (Cloud)$0

    Windmill Cloud with 1,000 executions a month, sign-in with Google, GitHub or GitLab, and community support on Discord. No credit card required.

  • Team (Cloud)$10

    per seat / month, billed by usage each month

    Set per workspace. A seat covers one developer or two operators and includes 10,000 executions a month. 10 seats at most, with audit logs kept for 7 days.

  • Pro (self-hosted)From $48

    per month: $8 per seat plus compute units

    For individuals, seed-stage startups and companies under 10 employees and $250k in revenue. Capped at 10 compute units and 10 SSO users, with no audit logs.

  • Enterprise (self-hosted)From $120

    per month: $20 per builder seat, $50 per compute unit

    Audit logs, SAML and SCIM, Git sync, autoscaling, a commercial license and 24/7 priority support with a 3-hour response time. Non-builders count as half a seat.

  • Enterprise (Cloud)From $840

    per month: $40 per developer seat plus compute

    A dedicated Windmill Cloud instance with isolated workers and database, unlimited audit log retention and 24/7 priority support.

Ways to pay less

Apache Airflow

No public discounts listed.

Windmill

  • Annual discount

    16% off Enterprise and Pro with annual billing

    With the Annually option selected, the pricing page applies a 16% annual discount to Enterprise and Pro subscriptions, which comes to 10 months' price for the year.

  • Nonprofit

    40% off Enterprise for nonprofits

    Windmill gives non-profits the regular Enterprise plan at a 40% discount: $12 per developer seat a month instead of $20 when self-hosted.

  • Education

    40% off Enterprise for universities

    Universities get the same 40% discount on the regular Enterprise plan that Windmill gives non-profits.

  • Startups

    Pro plan for seed-stage startups

    The self-hosted Pro plan, at $8 per seat against $20 on Enterprise, is open to individuals, seed-stage startups and businesses with fewer than 10 employees and $250k in revenue.

Common questions

Which is cheaper, Apache Airflow or Windmill?

As of Nov 13, 2026, Apache Airflow is cheaper to start with: it is free, against $10 a month for each person for Windmill. Apache Airflow is free, and Windmill starts at $10 per seat / month (Cloud Team); self-hosted Pro from $48 / month.

Which has a free plan, Apache Airflow or Windmill?

As of Nov 13, 2026, both Apache Airflow and Windmill have a free plan.

More comparisons

How this page was made

  • The verdict at the top follows a fixed rule. When both tools are in the same category and either is in our top three for it, the verdict follows that ranking: the higher-placed tool is our pick. The top three weigh who each tool suits as well as its grades, so a pick can go against the GPA. Otherwise the page does not pick one and says which grades higher: the higher GPA first; on a tie, the one with a free plan, then the one that starts cheaper in dollars a month, counted the same way for both; if they are still level, what the choice depends on.
  • The grades are our own, from each tool’s review or report card. The GPA is their average.
  • Prices, plans and platforms come from each tool’s listing. The table above says where each price was read and when.
  • The differences and the answers to the questions are worked out from those listings.
How we review and grade