Zapier, Make.com and n8n each solve the same underlying problem - connecting software systems and automating repetitive tasks - but they solve it in fundamentally different ways, for different users, at very different costs. Choosing the wrong one means either overpaying for simplicity you do not need or investing weeks in a tool your team cannot maintain.
This comparison uses 2026 GBP pricing, covers the AI automation features each platform added in the last 12 months, and ends with a direct decision framework. If you are spending more than two hours a week on copy-paste between systems, or if you are paying a developer to build automations that a tool could handle, read this in full before committing.
Pricing is the first filter for most UK businesses. All three tools offer free tiers with meaningful restrictions, and all three have seen pricing changes in the 2025-2026 period. The figures below are converted to GBP at the June 2026 rate of approximately 1.27 USD to the pound, and rounded to the nearest penny.
Zapier charges per task, not per Zap. One Zap with five steps that runs 100 times uses 500 tasks. This catches many businesses off guard. A moderately complex automation running 500 times per month on the Professional plan will exhaust the task allowance and trigger billing at £0.027 per additional task. For high-volume use cases, Zapier cost scales steeply.
Make pricing model is based on operations (individual module executions within a scenario). Because Make scenarios often use routers, iterators, and aggregators that each count as an operation, a complex scenario can rack up operations faster than expected - but the per-operation cost is still a fraction of Zapier per-task cost at similar volumes.
n8n self-hosted option is genuinely free with no feature restrictions. The only cost is your server - a £5 to £10 per month VPS on Hetzner or DigitalOcean handles most small-to-medium workloads comfortably. This makes n8n the cheapest option by a large margin if you have the technical capability to run it.
Zapier has over 6,000 native app integrations in 2026 - more than any competitor. If you need to connect two specific tools and you are not certain both have APIs, there is approximately a 95 per cent chance Zapier already has native connectors for both. This is its primary competitive advantage: the question of whether it works with your stack is almost always yes.
The setup experience is the cleanest in the category. Zapier trigger-action-filter model is learnable in under two hours with no prior technical knowledge. Each step is configured through a form-based interface rather than a visual canvas or code editor. For a team where the person building automations is a marketing manager or operations coordinator rather than a developer, Zapier simplicity has real operational value.
Zapier Tables product (launched 2023, expanded 2025) now allows you to store data natively within Zapier without routing it through an external spreadsheet or database. This is useful for simple data pipelines where you would otherwise need to set up and maintain an Airtable or Google Sheets instance.
Zapier introduced AI Actions in 2024 and expanded them significantly in 2026. The current feature set includes: a natural language workflow builder (describe what you want to automate in plain English and Zapier generates a Zap draft), AI-powered data transformation using GPT-4o via an OpenAI integration that does not require your own API key, and Zapier Central - an AI co-pilot that monitors workflows and suggests optimisations.
The natural language builder is genuinely useful for getting to a working first draft. It does not produce production-ready Zaps in most cases - the logic often needs manual refinement - but it saves 30 to 60 minutes per workflow for non-technical users.
Zapier task-based pricing means that workflows with high step counts and high run volumes become expensive faster than any other tool in this comparison. A single Zap with 8 steps running 500 times per day uses 4,000 tasks - pushing you toward the Team plan at £56.99 per month at minimum, or Enterprise territory if multiple team members need access.
Complex logic (conditional branching across more than three paths, looping over arrays, aggregating data from multiple sources) is technically possible in Zapier using Paths and Filters, but it requires splitting one logical workflow into multiple Zaps, which makes debugging significantly harder. For workflows that need to handle errors gracefully, retry on failure, or branch based on dynamic conditions, Zapier interface creates technical debt.
Zapier suits non-technical teams at businesses with straightforward automation needs, fewer than 2,000 task executions per month across all workflows, and a preference for getting something working in an afternoon without involving a developer. Small businesses in professional services - estate agents, accountants, solicitors, consultants - with basic CRM-to-email or form-to-spreadsheet needs are the natural Zapier user.
Make.com (formerly Integromat) uses a visual canvas where each step in an automation is a module, and modules connect to each other with lines that show the data flow. The canvas approach makes it possible to see an entire complex workflow at once, which makes debugging significantly easier than Zapier linear list interface.
Make handles complex logic natively: routers branch scenarios based on conditions, iterators loop over arrays of data, aggregators combine multiple items into one, and error handlers specify exactly what happens when a module fails. A workflow that would require three separate Zaps in Zapier is typically a single scenario in Make, which is easier to maintain and understand.
Make integration library has over 1,400 native apps, fewer than Zapier 6,000, but covers the core tools used by UK businesses: Google Workspace, Microsoft 365, HubSpot, Salesforce, Pipedrive, Shopify, WooCommerce, Xero, QuickBooks, Slack, Notion, Airtable, and all major social and advertising platforms. For most use cases the gap does not matter; for niche vertical software, it sometimes does.
Make added an AI module library in 2025 that expanded significantly in 2026. Current capabilities include: direct OpenAI and Anthropic (Claude) module integration with support for streaming and function calling, a built-in AI scenario builder that translates natural language descriptions into scenario outlines, and Make AI - their hosted LLM endpoint that processes simple text transformations without routing data to an external provider.
The Claude integration is particularly useful for UK businesses with GDPR data handling requirements: because you use your own Anthropic API key, your data flows through Anthropic EU data processing agreement rather than through Make hosted AI service. This distinction matters for workflows that process client data or personally identifiable information.
Make visual canvas is powerful but has a steeper learning curve than Zapier. The difference in setup time is real: most new users need 4 to 8 hours to build their first complex scenario comfortably, versus 1 to 2 hours in Zapier. The concepts of iterators, aggregators, and bundles are not intuitive if you have no prior automation or programming background.
Make has fewer native app integrations than Zapier. While the gap rarely matters for mainstream software, if a client business uses a niche vertical ERP or specialist UK compliance tool, you may need to build a custom webhook integration rather than using a native module. Zapier 6,000-plus integrations make these edge cases much rarer.
Make support has historically been slower than Zapier, though the 2026 Pro and Teams plans include priority support. Community forums are active but documentation for advanced features (complex data transformation, custom API calls with OAuth) can be thin.
Make suits marketing agencies building multi-step client workflows, mid-size businesses with complex data routing needs, and any team where the person building automations is technically comfortable but not a developer. If you are processing more than 10,000 operations per month or need to handle conditional logic across four or more paths, Make combination of capability and pricing significantly outperforms Zapier.
n8n (pronounced n-eight-n) is open-source and self-hostable, which means the Community Edition is free with no usage limits. You run it on your own server, your data never touches n8n infrastructure, and there is no monthly bill for the software itself. For businesses with sensitive data - financial services, healthcare, legal, or any sector with strict data residency requirements - self-hosting is a significant compliance advantage.
n8n node library covers approximately 400 native integrations, but its core strength is in technical flexibility. Every node can be extended with JavaScript code. The Code node allows you to write arbitrary Node.js inside a workflow, which means n8n can do anything a developer could write in a script, but with visual workflow management. You are not limited to what the tool natively supports - you can call any HTTP endpoint, manipulate any data structure, and build any logic.
n8n AI agent support is the most mature of the three platforms. From version 1.0 (released late 2024) onward, n8n supports AI agent nodes that chain LLM calls with tool use, memory, and conditional reasoning - building blocks for autonomous AI workflows that go significantly beyond simple trigger-action automation. If you want to build an AI agent that monitors inbound emails, classifies them, pulls relevant data from a CRM, drafts a response using GPT-4o or Claude, and routes for human review only when confidence is low, n8n is currently the best tool for that.
n8n most significant 2026 updates: a redesigned canvas UI that reduces visual clutter on complex workflows, an AI node evaluator that runs test prompts against LLM nodes and scores output quality before you deploy, expanded tool-calling support for Anthropic Claude and Google Gemini (in addition to existing OpenAI support), and a new self-hosted installation method using Docker Compose that reduced setup time from 2 to 3 hours to approximately 45 minutes for a standard single-server deployment.
Self-hosting n8n requires someone who is comfortable with Linux servers, Docker, SSL certificates, and basic database administration (n8n uses SQLite by default or Postgres for production). If that describes no one in your business, either hire a developer to set it up (typically 3 to 6 hours work) or use the cloud version - which, at £17 to £42 per month, loses the pricing advantage for smaller teams.
n8n native integration library (approximately 400 apps) is the smallest of the three. For mainstream tools this is fine - all major platforms are covered. For long-tail integrations, you will spend more time building HTTP Request nodes manually than you would in Zapier or Make. n8n is not the right choice if your primary criterion is to connect two niche tools with minimal configuration.
Support for the Community Edition is community-only: GitHub issues, Discord, and forum posts. Response times vary. For production systems where downtime matters, the cloud Pro plan priority support is worth the additional cost.
n8n suits development teams, technical founders, and data-heavy operations where self-hosting is an advantage rather than a burden. SaaS companies building internal operational tooling, data engineering teams, and businesses handling sensitive personal or financial data that cannot leave their infrastructure are n8n natural users. AI startup founders building autonomous agent workflows will find n8n agent framework significantly ahead of the competition in 2026.
The table below compares the three tools across the dimensions UK businesses most commonly ask about.
| Feature | Zapier | Make.com | n8n |
|---|---|---|---|
| Entry price (GBP/month, billed annually) | £19.99 | £8.91 | Free (self-hosted) |
| Native integrations | 6,000+ | 1,400+ | 400+ |
| AI agent support | Basic (Zapier Central) | Moderate (AI modules) | Advanced (agent nodes, tool use) |
| Self-hosted option | No | No | Yes (free) |
| Visual canvas | No (linear list) | Yes | Yes |
| Code node support | Yes (Python/JS via Zapier Code) | Yes (JS) | Yes (Node.js, Python) |
| UK data residency | US-based, EU SCCs available | EU-based servers available | Self-hosted: your choice |
| Technical skill required | Low | Medium | Medium to High |
| Error handling | Basic (retry, email alert) | Advanced (custom error paths) | Advanced (custom error nodes, retry logic) |
| Minimum setup time (first workflow) | 30 to 90 minutes | 2 to 4 hours | 4 to 8 hours (cloud) / 1 to 2 days (self-hosted) |
The most common question from UK business owners is not which one is better but which one is right for us. Here is the framework we use when advising clients.
A UK estate agent uses a Zapier workflow triggered when a new contact is added to their HubSpot CRM from a Rightmove enquiry form. The Zap filters for enquiries over £400,000 asking price, looks up the postcode in a Google Sheets area-allocation table, assigns the lead to the correct sales negotiator in HubSpot, sends the negotiator a Slack message with the enquiry details, and adds the lead to an ActiveCampaign email sequence. Total setup time: 3 hours. Tasks used: 5 per enquiry. Cost at 100 enquiries per month: within the Professional plan 750-task allowance.
A digital agency uses a Make scenario triggered when a client signs a contract in PandaDoc. The scenario: creates a new project in Asana with templated tasks, creates the client workspace in Notion with pre-filled company details pulled from the PandaDoc data, generates a Google Drive folder structure and shares it with the client email, sends a personalised onboarding email via Mailchimp using the client name and project type, creates a Xero invoice for the deposit amount, and posts a notification to the agency #new-clients Slack channel. Total modules in the scenario: 14. Operations per run: approximately 22. At Make Core plan pricing, 100 new clients per month uses 2,200 operations - well within the 10,000 included.
A UK SaaS company uses an n8n self-hosted workflow to process customer support emails. The workflow: polls Gmail every 5 minutes for new support emails, extracts the email text and sender details, sends the text to Claude claude-sonnet-4-6 via HTTP Request with a classification prompt (bug report, billing query, feature request, or other), routes each email to the relevant queue in Zendesk based on the classification, extracts key entities (product name, account ID, error code) using a second LLM call with structured output, updates the Zendesk ticket with the extracted fields, and saves the full email and classification to a Postgres database for analysis. Server cost: £8 per month. LLM API cost: approximately £12 per month for 2,000 emails. Total cost: £20 per month.
Zapier most significant 2026 update was the expansion of Zapier Central, its AI co-pilot, to include proactive workflow health monitoring. Central now alerts you when a Zap is failing above a threshold and suggests specific fixes rather than just reporting an error code. Zapier also introduced a webhook-to-Zap direct builder that reduces the setup time for custom webhook triggers from 20 minutes to approximately 5 minutes.
Make.com introduced AI scenario optimisation in early 2026 - a feature that analyses existing scenarios and suggests consolidation or module replacement where the current build is unnecessarily complex. Make also launched a template marketplace where Make partners (including agencies) can sell verified workflow templates, which has produced a library of approximately 800 ready-to-deploy business automation templates as of June 2026.
n8n 2026 changes were the most substantial of the three. The v1.x release series brought a redesigned execution engine that handles concurrent workflow runs more efficiently (important for high-volume self-hosted deployments), native AI agent node types that significantly simplify building LLM-powered workflows, and a new cloud offering structure that made the hosted version more competitive on price with Make.com. n8n also published an official Docker Compose starter configuration maintained by their team, which resolved the most common self-hosting setup issues.
It depends on your workflow complexity and volume. For simple, low-volume automations (under 2,000 tasks per month, under 5 steps per workflow), Zapier ease of use justifies the price premium. For anything more complex or higher volume, Make.com Core plan at £8.91 per month offers more capability per pound. Most UK businesses that start on Zapier and grow into more complex automations eventually migrate to Make or n8n when their monthly bill crosses £60 to £100.
The cloud version of n8n (Starter at £17 per month, Pro at £42 per month) is accessible to non-developers who are comfortable with technical concepts. The visual canvas is similar to Make. However, n8n documentation and community resources assume more technical knowledge than Zapier. The self-hosted version requires someone comfortable with servers and Docker - this is not a realistic option for a non-technical solopreneur without help. If you want n8n capabilities without the technical overhead, use the cloud Pro plan or hire a developer for the initial setup.
After Brexit, UK GDPR applies rather than EU GDPR, though the two are substantively similar. For strict data residency: n8n self-hosted on UK or EU servers gives you the most control - your data never touches a third-party SaaS platform. Make.com offers EU data processing with servers in Frankfurt; review their Data Processing Agreement and ensure EU region is selected in your account settings. Zapier infrastructure is primarily US-based; they offer SCCs and a GDPR-ready DPA, but some UK regulated firms compliance teams require EU data residency which Zapier cannot guarantee. For workflows processing personal data, always review the platform DPA before deployment.
For most UK small businesses, no. Analysis of common UK business software stacks shows that the vast majority of automation use cases involve Google Workspace, Microsoft 365, a CRM (HubSpot, Pipedrive, or Salesforce), an accounting tool (Xero or QuickBooks), a project management tool (Asana, Trello, or Notion), and a communication tool (Slack or Teams). All three platforms cover these natively. Zapier advantage is most relevant if you use vertical-specific software - a specialist legal case management system, a niche UK construction project tool, or a proprietary ERP. If you are in that situation, check Zapier integration library first before evaluating Make or n8n.
Yes, and many larger organisations do. A common architecture: Zapier handles the long-tail integrations where native connectors are needed, Make handles complex multi-step data processing where visual logic is important, and n8n handles AI-powered internal workflows that must run on private infrastructure. They can be connected via webhooks - an n8n workflow can trigger a Zapier Zap by hitting a Zapier webhook URL, and vice versa. This is more complex to maintain but gives you each tool strengths without compromise.
Choosing based on free-tier limitations rather than paid-tier value. The free tiers of all three tools are deliberately constrained and are not representative of the actual product experience. Many businesses try Zapier free tier, hit the 5-Zap limit, and conclude it is too restrictive - without realising that the £19.99 Professional plan removes most of those constraints. The better evaluation method: identify your three most important automation use cases, estimate how many times per month each runs and how many steps it needs, then calculate the monthly cost on each platform relevant paid plan. That comparison is far more informative than feature lists.
We protect the real names of all clients featured in examples and case studies. Every testimonial is from a real client.
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