Once Make is off the table, either because your team wants the simplest possible tool or because you specifically need self-hosted control, the real decision is n8n versus Zapier. This is the narrower, more common comparison: two philosophies of automation, not three options to weigh at once. The rest of this guide works through where each tool genuinely wins, where the marketing pages skip over real limitations, and how to make the call without burning a sprint on evaluation.
Zapier: Fast, Hosted, No-Code, and Where That Model Ends
Zapier’s core unit is the Zap: one trigger, one or more action steps, executed in order. That’s what makes it easy for a non-technical RevOps or sales ops person to build and reason about. Anyone can look at a Zap and know exactly what will fire and when, because there’s no branching to trace unless a Path has been added deliberately.
Multi-step logic is available through Paths, which let a Zap split into two or more conditional branches based on field values. That covers most everyday routing rules, such as lead source or deal size. Where it becomes unmanageable is nested conditions, three or more layers of “if this, then check that”, because each Path is a flat branch rather than a tree. Complex logic ends up spread across duplicated Zaps instead of living in one readable workflow.
Data transformation lives in the Formatter step, which handles common operations well: date formatting, text case, number rounding. Anything bespoke, matching a custom field against a lookup table you maintain, or reshaping a payload before it hits the next app, needs the Code by Zapier step, which runs a short JavaScript or Python snippet. At that point you’ve reintroduced the need for someone who can write and debug code for that one workflow, even though the rest of the Zap stays visual.
Zapier runs entirely on Zapier’s own infrastructure. For most SaaS and services businesses that’s a non-issue. It becomes a blocker when a client contract, an industry regulator, or your own data protection policy requires certain records to stay on infrastructure you control. That’s a compliance decision, not a workflow complexity one, and it rules Zapier out regardless of how simple the automation itself is. See Zapier’s pricing page for how the per-task model scales in practice.
n8n: Open-Source, Self-Hostable, and What That Actually Costs You
n8n covers similar integration ground through nodes rather than “apps”, connected visually on a canvas rather than a strictly linear list of steps. That lets a single workflow branch, merge back together, and loop, all inside one canvas: exactly the shape that Zapier Paths struggle with once conditions nest more than one level deep.
There’s a licensing nuance worth knowing before you tell anyone n8n is “open source”. Its code is source-available under n8n’s own Sustainable Use Licence rather than a traditional OSI-approved open source licence. In practice that means you can inspect, self-host, and modify it freely for internal use; the restriction only bites if you try to resell a competing hosted version of n8n itself, which isn’t a scenario most RevOps teams need to think about. Full installation and licensing detail is in n8n’s hosting documentation.
Self-Hosted vs n8n Cloud
Self-hosting means running n8n on your own server or container, typically via Docker, and it removes per-task or per-workflow billing entirely; you pay for the compute you provision, not for automation volume. It also means you own the operational side: applying updates, backing up workflow data, and keeping the instance patched. n8n Cloud is the managed alternative, priced around execution volume rather than infrastructure, and it keeps the same workflow builder without the maintenance burden.
Who Needs to Own the Deployment
Someone has to be the person who notices when a workflow silently stops firing because a credential expired, or when disk space on the instance runs low. That doesn’t have to be a full-time engineer, but it does need to be a named person with baseline comfort in a terminal, not “whoever’s free”, because self-hosted tools tend to fail silently in a way hosted SaaS generally doesn’t.
The Real Cost Comparison: Per-Task Pricing vs Infrastructure Spend
Zapier bills per completed task, where a task is one completed action step. A Zap with a trigger and three action steps that runs 500 times a month consumes 1,500 tasks, and pricing scales with tier; current tiers are on Zapier’s pricing page. The practical effect is that cost grows in step with automation volume, which is predictable but means a genuinely high-volume, low-complexity workflow, updating a single field on every new lead, for example, can get expensive purely on volume even though the logic is trivial.
n8n Cloud instead prices around execution volume with per-plan allowances, detailed on n8n’s pricing page, and self-hosting removes usage-based billing altogether in exchange for infrastructure and maintenance cost. For a team running a small number of high-volume workflows, self-hosted n8n is usually the cheaper long-run option once volume passes a threshold. For a team running a handful of low-volume workflows, that threshold may never be reached, and the maintenance overhead isn’t worth carrying.
Where Workflow Complexity Breaks Zapier First
Loops. n8n has a native Split in Batches node for iterating over a list and doing something with each item, then continuing the workflow once the loop finishes. Zapier has no direct equivalent inside a single Zap; looping over a list of records generally means triggering a separate Zap per item, which works but loses the ability to act on the full set afterwards, such as a single summary notification once every record in a batch has been processed.
Error handling. n8n workflows can define a dedicated error workflow that fires whenever any node fails, capturing what failed and why so the team gets one clear signal instead of a silent gap in a report. In Zapier, failed tasks appear in the Zap history, but there’s no workflow-scoped error handler; each Zap needs its own error path built in manually, action by action, which becomes more work to maintain as the number of Zaps grows.
Merging. n8n can merge two separate branches of a workflow back into one, combining data from both, before continuing. Paths in Zapier don’t rejoin; once a Zap splits down a Path it stays split, so if two branches both need to update a fifth app afterwards, you duplicate that final step across every Path rather than writing it once.
Data Residency and Compliance: When Self-Hosting Isn’t Optional
For a UK business, UK GDPR governs where personal data can be processed and what safeguards apply if it leaves the UK; gov.uk’s data protection overview and the ICO’s UK GDPR guidance both cover this in detail. If your CRM records include personal data, which almost every CRM does, running the automation that touches that data on infrastructure outside the UK, or on infrastructure whose ownership terms you don’t fully control, is a genuine question to work through with whoever owns data protection at your company, not an assumption to skip past.
Self-hosted n8n, deployed on infrastructure you choose, whether a UK-based cloud region or on-premises, sidesteps that question entirely, because the data never has to leave infrastructure you control. This isn’t a reason to default to n8n for every team; most RevOps automation, updating deal stages, syncing contact fields, sending Slack notifications, doesn’t touch data sensitive enough to trigger the concern. It matters specifically when the data includes special category data, or when a client contract carries its own data location clause, in which case it overrides every other factor in this comparison.
A Decision Framework You Can Actually Use
Distilled down, the choice comes down to three real-world starting points rather than a wall of caveats. The diagram below shows the same three branches covered in this guide: workflow simplicity and infrastructure appetite, branching complexity or data location rules, and the practical case where you just need something live now.
Migrating From Zapier to n8n Without Breaking Production
If you start on Zapier and outgrow it, the migration is bounded and predictable if you work through it in order:
- Export or document every existing Zap: trigger, each action step, and any filters or Paths, before touching anything, so nothing gets rebuilt from memory.
- Map each Zap’s trigger and actions to n8n’s equivalent nodes. Most major apps have a matching node; the exceptions are usually niche apps that only exist as a Zapier integration, which need an HTTP Request node against that app’s own API instead.
- Rebuild each Zap as an n8n workflow in a staging or test instance, not production.
- Run the new workflow in parallel with the live Zap for a defined window, comparing outputs against real data rather than test records, before assuming it’s equivalent.
- Cut over one workflow at a time rather than the whole Zapier account at once, so a fault is isolated to one process rather than every automated task simultaneously.
- Turn off the matching Zap only after the parallel run has produced clean results, keeping Zapier as a fallback for a short window in case something surfaces that testing missed.
How to Actually Decide
- If your workflows are simple and you have little appetite for managing infrastructure, Zapier wins.
- If your workflows involve complex branching logic, or a data location rule dictates where processing can happen, n8n wins.
- If you’re not sure yet, ship whichever gets a real workflow live this week. Migrating later, as covered above, is a bounded piece of work rather than a rebuild.
Frequently Asked Questions
Can I migrate from Zapier to n8n later without starting over?
Yes. Export or document each Zap first, map its trigger and actions to the closest n8n nodes, and rebuild it in a staging n8n instance. Run the new workflow in parallel with the live Zap against real data for a defined window before cutting over, then decommission the Zap once the parallel run has produced clean results.
Does n8n need a developer to run it?
Not strictly, but someone needs to own the deployment: applying updates, watching for expired credentials, and noticing when a workflow stops firing. That can be a managed n8n Cloud instance rather than infrastructure you maintain yourself, but it still needs a named owner, not whoever happens to be free.
Is n8n actually open source?
Not in the strict OSI sense. n8n’s source is available under its own Sustainable Use Licence rather than a traditional open source licence. You can inspect, self-host, and modify it freely for internal use; the restriction only applies if you try to resell a competing hosted version of n8n itself.
Which tool is cheaper once automation volume grows?
It depends on volume. Zapier bills per completed task, so cost rises in step with how often your workflows run, even if the logic is simple. n8n Cloud prices around execution volume, and self-hosting removes usage-based billing entirely in exchange for infrastructure and maintenance cost, which usually pays off once volume passes a threshold.
Does data residency alone rule out Zapier?
No, not on its own. Most RevOps automation, like updating deal stages or syncing contact fields, doesn’t touch data sensitive enough to trigger a residency concern. It becomes a deciding factor specifically when records include special category data or a client contract has its own data location clause, in which case self-hosted n8n on infrastructure you control removes the question entirely.
Related Reading
- Sales operations consultancy: n8n, Clay and Apollo built into your CRM
- n8n vs Make vs Zapier: the full three-way comparison
For more on this, see our automation and n8n coverage, including Automate SaaS Quote-to-Contract Workflows with n8n and Pandadoc, CRM Automation with n8n for RevOps in 2025, and Scaling SaaS Growth with Automated RevOps Workflows and Optimization.
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