The short answer: Zapier is the easiest to start with, Make is the best value once your workflows get complex, and n8n is the right call if you want control and aren't afraid of a slightly steeper learning curve. All three can automate most things a UK SME needs - the difference is cost at scale, how much technical confidence you need, and what you lose when pricing tiers bite you.
What are n8n, Zapier and Make?
All three are workflow automation platforms - tools that connect your business software together so actions in one app trigger actions in another, without anyone doing it manually.
The canonical example: a form submission on your website automatically creates a contact in HubSpot, sends a confirmation email, notifies your team in Slack, and logs the lead in a spreadsheet. That's one workflow. Each platform handles it differently, charges you differently, and has a different ceiling on what it can do before it starts getting complicated or expensive.
They're not the same product with different logos. The gap between them matters more the longer you use them.
How does the pricing compare for UK businesses?
Pricing is where these platforms diverge most sharply, and it's the thing most comparison articles underplay.
Zapier charges per task - each action an automation performs counts against your monthly limit. This is fine when you're running a handful of simple two-step automations. It becomes expensive quickly when workflows branch, loop, or run at volume. A moderately busy team pushing a few thousand tasks a month will hit paid tiers fast, and Zapier's paid plans are priced at the higher end of the market. Plans are billed in USD; at current exchange rates expect to pay meaningfully more than the dollar price suggests.
Make charges per operation - each module execution in a scenario. Pricing is generally lower than Zapier for equivalent volume, and the free tier is genuinely useful (1,000 operations per month). For UK SMEs doing moderate automation, Make typically costs less than Zapier for the same output. It also bills in USD, but the starting price points are lower.
n8n is open source. If you self-host it on your own server (a £5–10/month VPS will do for most small teams), it costs you nothing per workflow or execution - just the infrastructure. The managed cloud version has execution-based pricing, but even that tends to undercut Zapier. For teams that want to run high-volume workflows without watching a counter, n8n is the most cost-effective option at scale.
The practical upshot: if price matters and your workflows will grow, Make or n8n will save you money over Zapier within a year.
Which is the easiest to get started with?
Zapier wins this decisively. The interface is deliberately simple, the documentation is excellent, and the app library (6,000+ integrations) means you'll almost always find a pre-built connector for whatever you're using. If you have no technical background and want something working this afternoon, Zapier is the right starting point.
Make is harder to start with but rewards the investment. Its visual canvas - where you see the whole workflow as a diagram of connected modules - is genuinely good once you're past the initial learning curve. The terminology is different from Zapier (scenarios, modules, bundles rather than Zaps, actions, data) and it takes a couple of hours to feel fluent. After that, building complex logic is often faster in Make than Zapier because the visual representation makes it easier to see what's happening.
n8n has the steepest onboarding of the three. The interface is powerful but assumes you're comfortable with concepts like JSON, expressions, and HTTP requests. You don't need to be a developer to use it, but you do need to be the kind of person who reads error messages rather than panics at them. Self-hosting adds another layer of setup that Zapier and Make don't require.
Which handles complex workflows best?
Complexity is where the gaps become most pronounced.
Zapier added multi-step workflows and branching logic in recent years, and it handles moderate complexity well. Where it struggles is deeply nested logic, looping over large datasets, and workflows that need to handle errors gracefully or do things conditionally across many branches. You can build complex things in Zapier, but you'll be fighting the interface to do it.
Make was designed for complex scenarios from the start. Loops, iterators, routers, error handling, and data transformation are all first-class features. If your workflow needs to process a list of items, branch on multiple conditions, and handle failures differently depending on where they occur, Make handles this cleanly. It's the strongest of the three for mid-complexity workflows built by someone without a developer background.
n8n is the most capable of the three for genuinely complex, technical workflows - especially anything involving AI. It has native nodes for language models (including Claude and OpenAI), HTTP requests, code execution, and database queries. If you're building workflows that call an LLM to classify or draft content as part of a larger automation, n8n gives you the most control. It's also the best option for workflows that need to run custom code alongside automated steps.
Which has the best app integrations?
Zapier has the largest library by a wide margin - over 6,000 apps with pre-built connectors. If you're using niche or legacy software, Zapier is most likely to have a native integration. This is a genuine advantage, not marketing.
Make has a smaller library (~1,500 apps) but covers everything most UK SMEs actually use: HubSpot, Xero, Shopify, Stripe, Gmail, Slack, Google Workspace, Airtable, and so on. For the vast majority of business workflows, the gap with Zapier won't matter.
n8n has around 400 native integrations, but its HTTP Request node means you can connect to any service with a REST API - which is most modern business software. If your tool has an API (and it almost certainly does), n8n can talk to it. The trade-off is that connecting to an unsupported app requires a bit more setup than clicking a pre-built connector.
Should you self-host or use the cloud?
This question only applies to n8n, which is the only one of the three with a meaningful self-hosted option.
Self-hosting means running n8n on your own server - a virtual machine on AWS, GCP, DigitalOcean, or similar. You own the infrastructure, the data stays on your server, and you pay nothing to n8n for executions. For businesses with data sensitivity requirements or high workflow volume, this is a compelling proposition. For businesses without anyone to manage infrastructure, it's a liability.
If you go self-hosted, you'll need someone comfortable with Linux, Docker, and basic server maintenance. It's not hard to set up, but it does need maintaining. If that's you, it's worth it. If it isn't, the n8n cloud offering removes the overhead - though at that point, the cost advantage over Make narrows.
Zapier and Make are cloud-only. That's simpler to start with but means your workflow data and credentials live on their infrastructure, which is a consideration for businesses handling sensitive information.
n8n, Zapier or Make: which should a UK SME choose?
You want something working today with no learning curve, your workflows are straightforward (trigger → 1–3 actions), and you're using tools from their extensive library. Also the right call if the person building workflows has no technical background and won't have support. Expect to revisit the cost question within 12 months if usage grows.
Your workflows have branching logic, loops, or multi-step data transformation. You want more power than Zapier offers but aren't ready to self-host anything. Make is the best balance of capability and accessibility for most growing UK SMEs - it covers the overwhelming majority of automation use cases at a lower price point than Zapier.
You have someone technical on the team (or are working with a consultant), you're building AI-enabled workflows, you're handling sensitive data and want control over where it lives, or you're expecting high execution volumes that would make Zapier or Make expensive. Self-hosted n8n is the most powerful and cost-effective option for teams that can manage it.
What about switching later - is it expensive?
All three platforms use proprietary workflow formats, which means your automations don't export cleanly to a competitor. If you build 40 Zaps in Zapier and then decide to move to Make, someone has to rebuild them. That's not a disaster - workflows are faster to rebuild once you understand them - but it's real effort, and it's worth factoring in when you make the initial choice.
This is one reason we tend to recommend starting with Make rather than Zapier for businesses who expect to automate seriously. The learning curve is higher up front, but you're less likely to outgrow it and face a migration.
n8n's open-source nature at least means your workflow definitions are JSON files you own - useful if you ever want to move to a self-hosted instance, though you're still not exporting to Zapier or Make format.
Do you need a consultant to set these up?
For simple workflows - a form that creates a CRM record, a Slack notification when an invoice is paid - no. All three platforms have enough documentation and community support that a reasonably technical person can build these without help.
A consultant adds value when: the workflow is genuinely complex (multi-system, with branching logic and error handling), you want it built and handed over rather than figuring it out yourself, you're integrating AI into the workflow, or you want someone to map your processes first and identify what's actually worth automating before you build anything.
The free 45-minute consultation we offer at Smooth Vector Solutions is built around that last point - helping you identify where your team's time is actually going and which automations will give you the biggest return, before you commit to a platform or a build. If you're not sure where to start, that's the right place.