Why teams leave n8n (licence, self-hosting, per-run pricing, the learning curve) and which alternative fixes each reason, with prices read on 2026-10-07.
Contents12 sections
- Which n8n alternative fits which reason?
- Why do people leave n8n?
- Is n8n really more expensive than Zapier or Make?
- Who should move to Zapier?
- Who should move to Make?
- Who should move to Activepieces?
- Who should move to Windmill?
- Who should move to Workato or Tray?
- Who should move to Gumloop or Lindy?
- Who should move to Power Automate?
- When should you not switch at all?
- How do you choose?
The useful n8n alternatives are Zapier, Make, Activepieces, Windmill, Workato or Tray, Gumloop or Lindy, and Power Automate, and the way to pick among them is by the reason you are leaving. Teams leave n8n for five reasons: the licence forbids what they want to sell, nobody wants to run the server, the people who must maintain the workflows are not developers, governance is missing, or the job has turned into an AI agent. Each reason points to a different tool. Price is the odd one out, because n8n's billing unit is often the cheapest of the lot, and switching for price alone can raise the bill, as the n8n vs Zapier arithmetic shows.
All prices below were read on the vendors' own pricing pages on 2026-10-07. Where a vendor does not publish a number, the table says so instead of guessing.
Which n8n alternative fits which reason?
| Alternative | Why you would switch to it from n8n | Pricing model and entry price (read 2026-10-07) | Self-host | Licence | Who it does not fit |
|---|---|---|---|---|---|
| Zapier | Non-technical owners, widest app catalogue (9,000+ apps) | Per task (each successful action); free 100 tasks/mo; Professional from $19.99/mo billed annually for 750 tasks | No | Proprietary SaaS | Long, high-volume workflows: per-step billing adds up |
| Make | Visual canvas with branching, lower entry price | Per credit (each module action); free 1,000 credits/mo; Core $9/mo billed annually ($10.59 monthly) for 10,000 credits | No | Proprietary SaaS | Teams that need to run it on their own servers |
| Activepieces | Open-source core under MIT, so the licence stops being the problem | Per credit; free 1,000 credits/mo; Plus $20/mo for 10,000 credits | Yes, Community Edition | MIT core, separate licence for /ee | Teams that need the depth of n8n's node library today |
| Windmill | Developers who prefer scripts, flows and internal apps in code | Self-hosted Community free (50 users, 3 workspaces); Enterprise self-hosted from $120/mo plus workers | Yes | AGPLv3 core, proprietary enterprise code | Anyone who wants to build without writing code |
| Workato | Enterprise governance, procurement-friendly contract | No public price | Not stated on pricing page | Proprietary | Small teams and anyone who needs a price before a demo |
| Tray | Governed integrations and agents across departments | Usage-based, measured in tasks; quote only; free trial | On-premise connectivity on Enterprise | Proprietary | Buyers who want a self-serve plan |
| Gumloop | The job is an AI agent rather than a fixed flow | Pro from $37/mo with 20k credits; 14-day trial | No (VPC optional on Enterprise) | Proprietary | Deterministic flows where every run must be reproducible |
| Lindy | Assistant-style agents for email, meetings, research | Team from $29.99 per user/mo with 3,000 credits; free trial with $50 credit for 7 days | No | Proprietary SaaS | Back-office integrations that must never vary |
| Power Automate | The company already runs on Microsoft 365 | Premium $15 per user/mo paid yearly; Process $150 per bot/mo paid yearly | No | Proprietary | Mixed or Google-first stacks |
A note on our own data: INITE Atlas had already recorded the entry prices for Activepieces ($20), Gumloop ($37) and Lindy ($29.99) when it read these pages on 2026-09-17 and 2026-09-18, and they had not moved by 2026-10-07. Windmill's $120 in Atlas is the Enterprise self-hosted floor, not a hosted plan.
Why do people leave n8n?
Each reason below is checked against what n8n publishes today, because n8n's plans and licence terms have changed and older "why leave n8n" lists may not reflect them.
The licence. n8n is distributed under its own Sustainable Use License, not an OSI open-source licence. The operative line in the LICENSE.md file is plain: "You may use or modify the software only for your own internal business purposes or for non-commercial or personal use." Distribution is allowed only free of charge for non-commercial purposes, and any file with .ee in its name or directory needs a separate Enterprise licence. Running your own operations on self-hosted n8n is fine. Embedding n8n in a product you charge for, or hosting it for clients as a service, needs a deal with n8n.
We previously looked into integrating n8n but they wanted $50k for a commercial license, which didn’t make sense for us.
- JimDabell, Hacker News, 17 July 2025 (link)
The server. Self-hosting is free in licence fees and not free in time. n8n's own documentation says the self-hosted route requires technical knowledge for installation and configuration, and recommends n8n Cloud for anyone without it because it is "fully managed, no setup or maintenance required." Upgrades, backups, queue mode, credentials and the security of an internet-facing webhook endpoint all land on whoever set it up, which is often one person.
The learning curve. n8n passes JSON between nodes and lets you drop into JavaScript or Python. That is why developers like it, and why an operations manager who inherits a dozen workflows can find it hard to change one without help.
The cloud bill. n8n Cloud has no free tier, only a free trial with 1,000 executions. Starter is 20 euros a month billed annually for 2,500 executions and five concurrent runs; Pro is 50 euros for 10,000 (60 billed monthly); Business is 667 euros a month billed annually for 40,000 executions. The unit is generous, though: an execution is one run of the whole workflow, however many steps it has.
Governance and agents. Larger buyers want SSO, audit logs, approval gates and a vendor that signs their paper. Smaller teams increasingly want an agent that reads an inbox and decides what to do, which is a different shape of job from a fixed flow.
Is n8n really more expensive than Zapier or Make?
Usually not, and this is the reason to stop and count before switching. Take a workflow with one trigger and nine actions that runs 1,000 times a month.
Per-step billing favours short flows; per-run billing favours long ones. If your workflows are three steps long, Make or Zapier may well cost less than n8n Cloud. If they are fifteen steps long and run hourly, moving off n8n for price usually costs more. The ROI arithmetic for an automation project starts with exactly this kind of count, and it should come before the migration rather than after.
Who should move to Zapier?
Teams whose workflows will be owned by people who do not code. Zapier's catalogue is the widest of the group at more than 9,000 apps, the editor hides the JSON, and triggers, polling and built-in tools such as Paths, Filter and Formatter do not count as tasks. The free plan is narrow (100 tasks a month, two-step Zaps only); Professional starts at $19.99 a month billed annually, or $29.99 billed monthly, for 750 tasks, and Team adds shared workflows and SAML SSO from $69 a month billed annually.
Who it is not for: anyone with long workflows at volume, since every action is a task, and anyone who needs to run on their own infrastructure. Zapier has no self-hosted option.
Who should move to Make?
People who like n8n's canvas but not its server. Make keeps the visual, branching builder, connects to more than 3,000 apps, and starts cheaper: the free plan gives 1,000 credits a month with two active scenarios and a 15-minute minimum interval, and Core is listed at $9 a month billed annually, or $10.59 billed monthly, for 10,000 credits. Pro and Teams keep the same 10,000-credit base at $16 and $29 billed annually.
Who it is not for: teams that chose n8n precisely to keep data on their own servers. Make runs on AWS in EU and North American regions and lists no self-hosted edition. Very long scenarios also eat credits quickly, for the reason in the arithmetic above and in n8n vs Make.
Who should move to Activepieces?
Anyone for whom the Sustainable Use License is the blocker. Activepieces publishes its core under the MIT licence (only the packages/ee directories carry a separate licence), so embedding it in a product or hosting it for clients does not need permission. The cloud side is simple to read: free with 1,000 credits a month and up to five users, Plus at $20 a month for 10,000 credits with overage at $0.007 a credit, Team at $200 a month for 50,000 credits and 25 users. The site claims more than 760 integrations.
Who it is not for: teams that depend on a long tail of n8n community nodes. The catalogue is younger, so check that every app you use today has a piece before you plan the move.
Who should move to Windmill?
Engineering teams whose n8n workflows have turned into code with a canvas around it. Windmill treats scripts in several languages as the unit, adds flows and auto-generated internal apps on top, and works with git. The self-hosted Community Edition is free with unlimited executions but caps users at 50, workspaces at three and permission groups at four. Enterprise self-hosted starts at $120 a month, with compute priced at $50 per standard worker per month.
Its licence is mixed: the backend and frontend are AGPLv3 except the enterprise code, and the Community Edition binaries may not be resold or served as a managed service without an agreement. Read it before assuming Windmill solves a licensing problem that n8n created.
Who it is not for: anyone who does not write code. And a note on Pipedream, which older lists put here: its site now describes it as "the integration layer for AI agents," the free plan is a development environment only, and production starts at $99 a month billed annually ($150 billed monthly). That suits a team building an agent product that needs managed auth to thousands of APIs. It no longer reads as a general replacement for n8n.
Who should move to Workato or Tray?
Companies where automation has become an IT governance question: who can connect which system, who approved it, where the audit log lives. Workato publishes no prices at all, and Tray quotes on usage measured in tasks across Pro, Team and Enterprise tiers, with on-premise connectivity on Enterprise and a free trial. Both are sales-led purchases.
Who they are not for: small teams, and anyone who needs to know the price before the second meeting. If your n8n estate is a dozen workflows, the governance you are missing is probably a named owner and a written scope for each one, which is what an automation brief puts on a page, rather than an enterprise platform.
Who should move to Gumloop or Lindy?
Teams whose n8n flows have become a long chain of LLM nodes and if-statements trying to imitate judgement. Gumloop now leads with agents (its own pricing page labels workflows as legacy): Pro starts at $37 a month with 20,000 credits and a 14-day trial, and the plan lists an 8% orchestration fee. Lindy prices per seat: Team from $29.99 per user a month with 3,000 pooled credits, and a free start with $50 of credit for seven days.
Who they are not for: deterministic back-office work such as invoice sync or stock updates, where you want the same input to produce the same output every time and a person to see why. Agents are the right tool when the input varies; keeping a human at the decision points matters more with them, not less.
Who should move to Power Automate?
Companies that already live in Microsoft 365, SharePoint and Dynamics. Premium is $15 per user a month paid yearly and includes cloud flows plus attended desktop automation; unattended bots are $150 per bot a month on Process, or $215 on Hosted Process with a Microsoft-managed virtual machine. Desktop RPA is the thing n8n cannot do at all, and for clicking through an old Windows application it is the natural pick.
Who it is not for: Google Workspace shops and mixed stacks, where the premium connectors and Dataverse entitlements become a licensing puzzle of their own.
When should you not switch at all?
When the problem is the workflow, not the tool, or when nobody has checked that the process is worth automating at all. A flow that breaks every month because a supplier changed a field will break in Make too; that is an integration changing underneath you, and the fix is monitoring and an owner, not a migration. A flow nobody understands was usually built before anybody wrote down what the process was; a process audit before automating costs less than rebuilding the same confusion on a second platform.
Stay on n8n, too, when your workflows are long and high-volume (the per-run unit is cheap), when your use is internal (the licence allows it), and when somebody already runs the server well. Moving to n8n's Cloud plan removes the hosting burden without a rebuild, and you can check the n8n Atlas card for what Atlas last recorded about it.
How do you choose?
Write down, in one sentence, why you want to leave. Then apply the rule in this order and stop at the first line that matches.
- The licence blocks what you sell: Activepieces.
- The people who will maintain it do not code: Zapier, or Make if they are comfortable with a canvas and the flows are short (make vs zapier covers that choice).
- You want to stop running a server: n8n Cloud first, then Make or Zapier if the cloud bill does not work.
- Your developers want code, not a canvas: Windmill.
- Procurement requires governance and a contract: Workato or Tray.
- The work needs judgement on varied input: Gumloop or Lindy, with a person at the decision points.
- You are a Microsoft shop or need desktop RPA: Power Automate.
If your sentence is "it is too expensive", count runs and steps for your three biggest workflows before you read any further. If the count favours n8n, the cheapest alternative is fixing the workflow you already have.
Frequently Asked Questions
What is the best free alternative to n8n?
If free means self-hosted with no licence fee, Activepieces Community Edition and Windmill Community Edition are the two to look at. Activepieces keeps its core under the MIT licence, which is looser than n8n's Sustainable Use License, while Windmill's community build is free with caps such as 50 users and three workspaces. If free means a hosted free plan, Make gives 1,000 credits a month and Zapier gives 100 tasks a month with two-step Zaps only.
Is Make cheaper than n8n?
At the entry price, yes: Make lists Core at $9 a month billed annually for 10,000 credits, against 20 euros a month billed annually for n8n Starter. The units differ, though. Make charges a credit for every module action, so a ten-step scenario burns about ten credits per run, while n8n counts the whole run as one execution. For short flows Make is usually cheaper; for long flows with high volume n8n often is.
Can I self-host Zapier or Make instead of n8n?
No. Zapier is cloud-only, and Make runs its platform on AWS in EU and North American regions with no self-hosted edition listed on its pricing page. If self-hosting is the reason you picked n8n and the licence or the maintenance is the reason you are leaving, the self-hosted options are Activepieces and Windmill, or n8n's own paid Business and Enterprise plans.
Can I use n8n to build a product I sell to clients?
Not under the free licence if the product is the automation itself. The Sustainable Use License allows use for your own internal business purposes or for non-commercial or personal use, and distribution only free of charge for non-commercial purposes. Hosting n8n and charging clients for access to it needs a commercial agreement with n8n. Building workflows for your own operations on a self-hosted instance is within the licence.
Is Zapier easier than n8n for a non-technical team?
For most non-technical teams, yes. Zapier keeps a workflow as a short list of steps, connects to over 9,000 apps, and does not count triggers or built-in tools such as Filter and Formatter as tasks. n8n gives more control, including code nodes and branching, and that control is also what makes it harder to hand to someone who has never debugged a JSON payload.



