n8n
n8n is the engineer's automation platform: open source and self-hostable, with execution-based pricing that keeps high-volume workflows economical, visual nodes that accept real code when logic demands it, and first-class support for AI and agentic flows.
Self-hosting is the headline: data residency, compliance and cost control all follow from running it on your own infrastructure, with a hosted option when that is not the point.
It rewards technical users and punishes casual ones: the curve is steeper than the consumer platforms, and the operational effort is yours.
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Model
- Runs privately (self-hostable)
- Checked
- August 2026
Prices, plans and model versions change fast: this is a mid-2026 snapshot; check the tool's official site for the latest.
Best for
- Self-hosted automation with data residency
- Execution-based pricing at high volume
- Visual flows with real code where needed
- AI and agentic workflows under your control
- Technical teams who want to own the platform
Less suited to
Non-technical users face a real curve: the consumer platforms get simple automations running faster, and self-hosting adds operational effort that someone must own.
Its breadth of integrations, while large, also trails the biggest directory; the niche-app long tail sometimes lives elsewhere.
Costs & data, in short
Self-hosted Community is free for technical teams wanting full data control; Cloud Starter and Pro for managed hosting; Business for self-hosted deployments needing SSO, Git and environments.
Execution-based pricing (whole workflow = one execution) is usually cheaper than per-task, but AI Workflow Builder credits (50 Starter / 150 Pro) and any LLM API calls you wire in are metered separately, and Business overage is charged per block of extra executions. The sticker price is not the whole bill. Self-hosting shifts cost to your own infrastructure/maintenance.
Plans
| Starter | $20per monthbilled annually |
|---|---|
| Pro | $50per monthbilled annually |
| Business | $800per monthbilled annually |
| Enterprise | Price on applicationno list price published |
Prices as of August 2026. Prices and plans change regularly. Check with the provider before you buy.
In practice
How n8n is used, area by area.
Jobs
AI agents & automation
Reach for it when the constraint is where data may live
Reach for it when the constraint is where data may live, not what the flow does. Self-hosting is the whole proposition: workflows run on infrastructure you control, which answers residency and compliance questions that no hosted platform can answer for you, and removes the per-task meter that makes heavy pipelines expensive elsewhere.
The second reason is escape velocity. Visual nodes accept real code the moment the logic outgrows them, so a workflow does not have to be rebuilt in a different tool when it gets hard, and agentic flows run under the same ownership as everything else. A hosted option exists for teams who want the shape without the server, but the point of the platform is that renting is optional.
Technical teams gain most: someone who can run and update a server, volume that makes metered pricing painful, and requirements about data location that came from outside the engineering team.
Example tasks
- Self-host automation so workflow data stays inside your own infrastructure
- Move a high-volume pipeline off per-task pricing onto execution-based cost
- Drop real code into a workflow step the visual nodes cannot express
- Run agentic flows under the same ownership as the rest of the stack
- Secure and rotate the credentials a self-hosted automation server holds
Limits
Non-technical users face a real curve, and a business without engineering capacity will get simple automations running faster on the consumer platforms.
Ownership is the recurring cost: someone must own the server, the updates and the uptime, and self-hosted automation holding credentials to every connected system is a concentrated attack surface that needs securing accordingly. Connector breadth also trails the largest directories, so the niche-application long tail sometimes lives elsewhere.
Compares
| vs | Pick n8n when | Pick the other when |
|---|---|---|
| MakeFull comparison → | n8n lets its visual nodes accept real code the moment the logic outgrows them, so a workflow never has to be rebuilt in a different tool when it gets hard | one person owns automation as part of their job and wants the estate laid out rather than listed |
| Relevance AIFull comparison → | n8n moves a high-volume pipeline off per-task pricing onto execution-based cost, so the meter stops being the thing to watch | the failure mode to guard against is nobody noticing what a fleet costs until the bill arrives |
| ZapierFull comparison → | n8n is what you reach for when the constraint is where data may live rather than what the flow does | nobody on the team will maintain infrastructure and the automation needs to exist soon |
| LangChainFull comparison → | n8n is the right call when a workflow needs real code in the middle of it and rebuilding that step in a different tool is the alternative | the system is complex enough that control and observability matter more than speed to a first version |
| CrewAIFull comparison → | n8n runs agentic flows under the same ownership as the rest of the stack, so nothing about the agents is hosted differently from everything else | collaboration between agents is the actual problem and you have the engineering capacity to express it in code |
| LindyFull comparison → | n8n suits the technical team that can run and update a server, whose volume makes metered pricing painful and whose data-location requirements came from outside engineering | the work you want removed is a whole job rather than a single step, and some variation in how it gets done is acceptable |
| GumloopFull comparison → | n8n offers a hosted option for teams who want the shape without the server, while the point of the platform stays that renting is optional | the core steps of a process are AI operations rather than integrations, and the work arrives in batches |
| BardeenFull comparison → | n8n secures and rotates the credentials a self-hosted automation server holds, which is work the design creates and then asks you to do properly | the work genuinely lives in the browser and the alternative is doing it by hand, tab by tab |
Founders & entrepreneurs
n8n offers founders automation without platform dependence
n8n offers founders automation without platform dependence. Self-host it free on your own server with full workflow control including code steps, or take the hosted version and keep the option to leave, so a technical founder gets power the closed platforms meter out expensively. It rewards a founder who can run a server and refuses to rent their automations forever. The requirement is that comfort: founders without it should start on the consumer platforms, since n8n pays off only when volume, data control or AI-heavy flows justify owning the machinery, someone has to operate what you self-host, and automation touching credentials for everything is a concentrated attack surface to secure accordingly.
Example tasks
- Run high-volume automations without per-task cost anxiety
- Keep customer data on your own infrastructure
- Build AI-heavy flows with code where visual nodes stop
- Automate the product's plumbing, not just the office's
- Scale workflows with the company without replatforming
Limits
Founders without technical comfort should start on the consumer platforms; n8n pays off when volume, data control or AI-heavy flows justify owning the machinery. Someone has to operate what you self-host.
Compares
| vs | Pick n8n when | Pick the other when |
|---|---|---|
| ZapierFull comparison → | n8n gives a technical founder automation without a landlord, self-hosted free on your own server with full workflow control including code steps, or hosted with the option to leave | nobody should ever think about hosting and the young company's connective tissue needs wiring in an afternoon |
| MakeFull comparison → | n8n automates the product's plumbing rather than only the office's, and scales those workflows with the company instead of replatforming once they matter | ops automation needs real logic and the budget line reads zero |
| Claude CoworkFull comparison → | n8n keeps customer data on the founder's own infrastructure and runs high-volume automations without per-task cost anxiety | a rough plan should come back as board-ready documents left for review |
| Relevance AIFull comparison → | n8n builds AI-heavy flows with code where the visual nodes stop, so the ceiling is the founder's own patience rather than the platform's | an ops agent should be the thing keeping records tidy |
| ManusFull comparison → | n8n gives a technical founder the power the closed platforms meter out expensively | a founder task is a whole job you would hand to a capable assistant |
| BardeenFull comparison → | n8n pays off only once volume, data control or AI-heavy flows justify owning the machinery, and founders without that technical comfort should start on the consumer platforms | the work is repetitive go-to-market chores run from playbooks, moving data between web apps without copy-paste |
Tasks
Automation & agents
n8n is automation without a landlord
n8n is automation without a landlord. Self-host it and workflows run on your infrastructure with no per-task meter, drop into real code whenever the visual nodes run out of road, and build agentic flows with the same freedom, with execution-based pricing keeping high volume economical. The hosted version exists for convenience; the point is that you never have to rent. Its people are technical teams who can run a server, whose volume makes metered pricing hurt and for whom code steps are a feature. Ownership is the cost: someone owns the server, updates and uptime, connector breadth trails the biggest directory, and self-hosted automation holding credentials to everything is a concentrated attack surface to secure like the keys-to-everything system it becomes.
Example tasks
- Self-host automation with data staying on your infrastructure
- Mix visual nodes with real code where logic demands it
- Run high-volume workflows without per-task economics
- Build agentic and AI-heavy flows under your own control
- Version and manage workflows like the code they are
Limits
Somebody owns the server, the updates and the uptime: teams without that somebody, or those needing maximum connector breadth with zero maintenance, should pay the hosted platforms happily.
Compares
| vs | Pick n8n when | Pick the other when |
|---|---|---|
| ZapierFull comparison → | n8n runs high-volume workflows without per-task economics, and builds the agentic, AI-heavy flows under your own control rather than on someone else's meter | the apps must just connect, nobody will maintain infrastructure, and speed beats cost per task |
| MakeFull comparison → | n8n keeps the data on your own infrastructure and versions the workflows like the code they actually are, mixing visual nodes with real code wherever the logic demands it | the automation has real logic in it and the per-task pricing maths matters at your volume |
| Claude CoworkFull comparison → | n8n is automation without a landlord: the hosted version exists for convenience and the point is that you never have to rent | a job should keep running in the cloud after the laptop closes |
| ManusFull comparison → | n8n is for the team that can run a server, whose volume makes metered pricing hurt and for whom code steps are a feature | you want to hand over a whole task rather than build the automation that performs it |
| LindyFull comparison → | n8n's connector breadth trails the biggest directory, which is part of the price of running the thing yourself | the job is keeping HubSpot or Salesforce updated from email and meeting activity, which is a job description rather than a pipeline |
| GumloopFull comparison → | n8n asks somebody to own the server, the updates and the uptime, so the saving is real and so is the job it creates | recurring data pipelines should run without code, and an AI workflow wants prototyping before engineering hardens it |
| CrewAIFull comparison → | n8n's self-hosted automation ends up holding credentials to everything, a concentrated attack surface to secure like the keys-to-everything system it becomes | a prototype should grow toward production by gaining the observability it lacked rather than by moving somewhere else |
| BardeenFull comparison → | a step the visual nodes cannot express is written as code inside the same workflow, so a hard requirement does not end the automation | the repetitive work happens in browser tabs and copy-paste is the current tool |
| Relevance AIFull comparison → | the workflows and everything they touch run on hardware the organisation already controls, so where the data sits was decided before the automation existed | whole business functions need agent coverage and nobody is writing code |
Where to start
Not sure what to adopt first?
Five quick questions about your job, task and constraints. We'll suggest your top three tools, plus the one to try first.
Alternatives
Same category, different strengths.
Appears in these stacks
Curated combinations this tool is part of.
Common questions
Is n8n free?
There's a free tier to start; paid plans add capacity and features.
Where does n8n fit best?
n8n fits best in Founders & entrepreneurs and AI agents & automation; see its practice notes for how.
Before sharing confidential or personal data, check this tool's data-governance and training policies. They differ between providers and can change.
Last checked: August 2026