AIFlowPost

Windmill vs n8n: Which Fits Your Stack?

Updated 2026-09-10 · 1111 words

Windmill vs n8n: Which Fits Your Stack? — AIFlowPost cover

This page may contain affiliate links. If you buy through them we may earn a commission at no extra cost to you.

Quick take: if your team writes code every day and wants automation-as-code rather than a drag-and-drop canvas, Windmill is the faster path and the cheaper cloud tier. If you need broad, pre-built integrations and want non-developers building workflows too, n8n is the safer default. We ran the same three workflows, a scheduled data-sync script, a webhook-triggered approval flow, and an AI-drafted Slack notification, self-hosted via Docker on identical VPS instances, to see where each tool actually earns its keep.

What Windmill and n8n actually are

n8n is a node-based automation platform: you drag integration nodes onto a canvas, wire them together, and each node calls an API, transforms data, or branches on logic. It's been around since 2019 and ships with 400+ built-in nodes covering most common SaaS tools, plus generic HTTP and webhook nodes for anything it doesn't natively support.

Windmill takes a different starting point. Instead of a node canvas, you write scripts in Python, TypeScript, Go, Bash, or SQL, and Windmill turns each one into a runnable, versioned workflow step. String scripts together into a flow, attach a schedule or a webhook trigger, and Windmill auto-generates a UI form for any script that needs manual input. It's less "no-code" and more "automation-as-code," which changes who on your team should actually be building with it.

Comparison table

Windmill n8n
Core model Script-first (Python, TypeScript, Go, Bash, SQL) Node-based visual canvas
License AGPL-3.0 (core) Sustainable Use License (fair-code)
Self-hosted cost Free Free
Cloud starter price Starting around $10/month Starting around $24/month
Integrations Write your own via script 400+ pre-built nodes
Auto-generated UI forms Yes, from script inputs No, requires a separate form tool
AI agent support Call any LLM API from a script; no built-in agent framework Native AI Agent + LangChain nodes
Learning curve Low if your team already codes; steep otherwise Moderate, node-based with an expression syntax
Best for Engineering teams automating internal tooling and data jobs Broad business automation, mixed technical/non-technical teams

Setup and self-hosting

Both spin up with a single docker-compose up in a few minutes. Windmill's default setup includes Postgres and a worker model built to scale horizontally from day one, which made adding a second worker for a heavier script load a five-minute change in our test. n8n's default self-hosted install uses SQLite, fine for testing but not production; you'll want to move to Postgres and add queue mode with Redis and separate worker processes once you're running anything business-critical, and that reconfiguration takes real setup time the first time you do it.

Neither tool removes the ops burden of self-hosting. You're still responsible for TLS, backups, and keeping containers patched. If that's not a job your team wants, both vendors sell managed cloud plans that take it off your plate, at a price.

Building a workflow: script vs. canvas

We built the same scheduled data-sync job in both: pull rows from a Postgres table, transform them, and push them to an external API on a nightly cron. In Windmill, this was a 25-line Python script plus a schedule trigger, done in about 15 minutes, most of which was writing the transform logic we'd have written anyway in any language. Windmill auto-generated a simple UI so a teammate could trigger the sync manually and see the last run's output without touching code.

The same job in n8n took closer to 30 minutes, using an HTTP Request node, a Function node for the transform, and a Postgres node, wired together on the canvas. It's a perfectly workable result, but writing a nontrivial transform inside n8n's Function node felt like coding with one hand tied, we kept reaching for patterns that would've been trivial in a real Python file. Where n8n won back time was the API connection itself: n8n's pre-built Postgres and HTTP nodes handled auth and pagination out of the box, while our Windmill script needed a few extra lines to handle the same pagination manually.

For the webhook-triggered approval flow, integrating with Slack and a CRM, n8n was faster end to end, roughly 20 minutes versus Windmill's 35, purely because both integrations already existed as n8n nodes with pre-built auth flows. Windmill required us to write small API clients for each, which is exactly the tradeoff to expect: n8n saves time when the integration already exists; Windmill saves time when the logic is custom and code-shaped.

Pricing reality check

Self-hosting either tool costs only your server and your time. If you'd rather not run that infrastructure, Windmill's cloud plans start lower, around $10/month for a small-team tier, while n8n's start around $24/month for its starter plan with limited active workflows and execution volume. Both scale up from there based on usage, and neither publishes enterprise pricing without a sales call, so budget for a quote once you're past a few hundred users or high execution volume.

When NOT to use Windmill

Skip Windmill if nobody on your team is comfortable writing and debugging scripts, or if you need a large catalog of pre-built SaaS integrations out of the box. Every connector you don't already have is code you write yourself, and that adds up fast if your workflows lean heavily on common marketing or CRM tools rather than custom data logic.

When NOT to use n8n

Skip n8n if your team already lives in Python or TypeScript and your workflows are closer to internal tooling and data jobs than SaaS-to-SaaS automation. Writing that logic inside n8n's Function nodes is workable but noticeably more awkward than writing it as a real script, and you lose the auto-generated UI forms Windmill gives you for free.

Which should you pick?

Choose Windmill if your team ships code daily, your workflows are more "internal tool" than "connect these five SaaS apps," and you want the cheaper cloud tier. Choose n8n if you need broad pre-built integrations, want non-developers building some of their own workflows, or plan to lean on native AI-agent nodes without writing the orchestration yourself. If Windmill is already your pick, our full Windmill review goes deeper on its worker model and where its code-first approach held up over a longer test.

If you're still comparing the wider self-hosted field, our guide to self-hosted Zapier alternatives covers Windmill alongside Activepieces and Huginn, and our breakdown of open source automation tool licenses is worth reading before you commit to either tool's license terms. If you land on n8n, our step-by-step guide to self-hosting n8n covers the production setup we used for this comparison, including the Postgres and queue-mode migration mentioned above.

Read the source docs before you commit either way: Windmill and n8n both publish full self-hosting guides that go deeper than either vendor's marketing pages.

Frequently asked questions

Is Windmill or n8n easier to learn?

n8n is easier for a non-developer, since most integrations are pre-built nodes you connect on a canvas. Windmill assumes you're comfortable writing scripts; if your team already codes daily, the learning curve is actually shorter than mastering n8n's expression syntax, because you're writing in a language you already know.

Can Windmill replace n8n for general business automation?

It can, but it's a worse fit unless your team writes code. Windmill has no equivalent to n8n's 400+ pre-built integration nodes; every connector is a script you write against an API. For CRM syncs, marketing automations, and other SaaS-to-SaaS workflows, n8n's node library gets you there faster.

Which is cheaper to self-host?

Both are free to self-host; the real cost is your server and your time. If you want a managed cloud plan instead, Windmill's starter tier runs lower, around $10/month, than n8n's, which starts around $24/month. Neither publishes enterprise pricing without a sales conversation.

Does Windmill support AI agents like n8n does?

n8n has dedicated AI Agent and LangChain nodes built for tool-calling agents inside a visual workflow. Windmill doesn't have an equivalent no-code agent builder, but since every step is a script, you can call any LLM API directly and wire the logic yourself. It's more flexible but requires more code than n8n's built-in agent nodes.

↑ Back to top