n8n vs Zapier for UK business: choosing an AI automation stack

For most UK businesses the honest answer is that Zapier and n8n solve the same problem in different ways, and the right choice depends on data residency, scale, and how much control you need. Zapier is a proprietary cloud service that is fastest to set up, easiest for non-technical staff, and connects to the largest catalogue of apps, billed per task. n8n is source-available, can be self-hosted on your own infrastructure or run on its EU cloud, and is billed per workflow execution, which makes it cheaper at volume and the stronger fit where data must stay in your control. Both are credible, both are in our working stack, and the comparison below is meant to help you choose rather than to crown a winner.

It is written for operations, IT, and finance leads choosing an AI automation platform for a UK business.

The core difference

The structural difference drives almost everything else. Zapier is a closed, cloud-only software-as-a-service product: your workflows, credentials, execution history, and business logic live on Zapier's infrastructure, and you cannot self-host it. n8n is source-available with a free, self-hostable Community Edition and paid cloud and self-hosted tiers, so you can choose to run it entirely inside your own infrastructure or let n8n host it for you.

That single distinction shapes the trade-off. Zapier optimises for speed and simplicity at the cost of control. n8n optimises for control and flexibility at the cost of needing more technical ownership. Neither is universally better; they suit different risk appetites and team shapes.

Pricing models compared

The pricing models differ as much as the prices, and the model matters more than the headline figure once you reach any real volume.

Zapier bills per task, where a task is each successful action a workflow completes. A workflow that performs ten actions consumes ten tasks. The Free plan includes 100 tasks per month with two-step workflows; the Professional plan starts at 19.99 US dollars per month with multi-step workflows; the Team plan starts at 69 US dollars per month for 25 users with shared connections and single sign-on; and Enterprise is custom-priced with advanced administration, SCIM, and audit logging. Zapier bills in multiple currencies including pounds sterling, and connects to more than 9,000 apps, the largest catalogue of any of these tools.

n8n bills per workflow execution, where one execution is a single end-to-end run of a workflow regardless of how many steps it contains. The same ten-action workflow that costs ten tasks on Zapier is one execution on n8n. The Starter plan is 20 euros per month for 2,500 executions, the Pro plan is 50 euros per month for 10,000 executions, and the Business plan is 667 euros per month for 40,000 executions with self-hosting, single sign-on, and Git-based version control, with Enterprise priced on request. The Community Edition is free and self-hosted, with the running cost being your own server and maintenance rather than a licence.

The practical consequence: for simple, low-volume automations, the entry prices are broadly comparable and Zapier's ease of setup often wins. For multi-step workflows at volume, n8n's per-execution model can be materially cheaper than Zapier's per-task model, because you are not paying for every individual step. Vendors change pricing, so treat these figures as current at the time of writing and confirm against the vendors' pricing pages before you commit.

The UK GDPR and data-residency lens

For a UK business handling personal or commercially sensitive data, where the automation runs is often the deciding factor, and here the two diverge sharply.

Self-hosted n8n keeps all workflow data, credentials, and execution history inside your own infrastructure; the vendor's servers never see your data. n8n's own cloud stores data in the EU, on servers in Frankfurt. Either way, n8n gives you a route to keep processing inside the UK or EU, and self-hosting is frequently the only viable option where data residency requirements are strict, for example for certain regulated or highly sensitive workloads.

Zapier is a US-headquartered cloud service, and your workflow data is processed on its infrastructure. It offers enterprise-grade security, governance controls, custom data retention, and audit logging on its higher tiers, which many UK businesses are comfortable with under appropriate contractual terms, but it does not offer self-hosting, so you cannot keep the processing inside your own environment. Where your data-protection position requires data to remain in your control or in a specific jurisdiction, that constraint points towards self-hosted n8n.

Whichever you choose, the usual UK GDPR discipline applies: a lawful basis, data minimisation in what the workflow passes around, a Data Protection Impact Assessment where the processing warrants it, and appropriate contractual terms with any processor. The tool choice does not remove those obligations; it changes how easily you can meet the residency part of them.

Where Claude fits as the reasoning layer

Neither tool is, by itself, the intelligence in an AI workflow; they are the plumbing that moves data between systems and triggers actions. The judgement, the classification, the drafting, and the summarising come from a model such as Claude, called as a step inside the workflow.

Both platforms can use Claude as that reasoning layer. n8n has native AI capabilities and, because you can self-host it, lets you keep the orchestration inside your own environment while calling Claude through the API, including via in-region deployment on a cloud platform. Zapier provides AI steps and its own AI features, and now offers a Model Context Protocol capability that lets AI assistants take actions across its connected apps. The pattern in both cases is the same: the workflow tool handles the connections and the trigger, and Claude does the part that needs reasoning, with a human reviewing anything consequential. Designing that division well, and keeping the model's inputs and outputs governed, is where most of the value and most of the risk sit.

When self-hosted n8n beats Zapier, and when it does not

A few clear signals point each way.

Self-hosted n8n tends to win when data must stay inside your own infrastructure or a specific jurisdiction, when you run multi-step workflows at volume and the per-task model would be expensive, when you have the technical capacity to own and maintain the deployment, or when you want to avoid dependence on a single closed vendor. It tends to be the wrong choice when you have no appetite to host and maintain software, when speed of setup matters more than control, or when your team is entirely non-technical.

Zapier tends to win when you want to be running quickly with minimal technical overhead, when the breadth of pre-built app integrations matters and you need a connector that n8n does not have ready, when non-technical staff will build and own the automations, and when cloud processing under contractual terms is acceptable for your data. It tends to be the wrong choice when strict data residency rules out US cloud processing, or when per-task costs become punitive at scale.

A note on Make

Make, formerly Integromat, is worth knowing as a third option that sits between the two. It is a cloud service with a visual builder, prices on operations rather than whole workflows, and offers an EU data-centre option, which can make it cheaper than Zapier at scale while remaining fully hosted for you. It does not give you the self-hosting and full data control that n8n does, but for a visually-oriented team that wants more favourable scaling than Zapier without running their own infrastructure, it is a reasonable middle path. As with the others, confirm current pricing and data-handling terms directly before committing.

How to choose

A short decision sequence works for most UK businesses. Start with the data-residency requirement, because it can rule out an option outright: if processing must stay in your control or jurisdiction, self-hosted n8n leads. If it need not, weigh team capability next: a non-technical team that wants speed leans towards Zapier or Make, a team with technical ownership leans towards n8n. Then model cost at your realistic workflow volume using the right billing model, per task for Zapier, per execution for n8n, because the cheaper option flips as volume and step-count rise. Finally, design where Claude sits as the reasoning layer and how its inputs and outputs are governed, since that determines whether the automation is genuinely useful and safely controlled.

Both n8n and Zapier are part of our working stack, and we deploy whichever fits the business in front of us. For how we build and govern these workflows see our workflow automation service, and for adding Claude as the reasoning layer see our Claude implementation service.

Sources

• n8n, "Plans and Pricing" (n8n.io/pricing), accessed June 2026 (execution-based billing; Starter 20 euros/2,500 executions, Pro 50 euros/10,000, Business 667 euros/40,000 self-hosted; free Community Edition; EU data hosting in Frankfurt; self-hosting keeps data in your infrastructure).
• Zapier, "Plans & Pricing" (zapier.com/pricing), accessed June 2026 (task-based billing; Free 100 tasks, Professional from 19.99 US dollars, Team from 69 US dollars for 25 users, Enterprise custom; 9,000+ apps; multi-currency including pounds sterling; Zapier MCP).
• Information Commissioner's Office, guidance on AI, data protection, and Data Protection Impact Assessments, accessed June 2026.