Key takeaways
- If you want the simplest setup and your team isn't technical, start with Zapier. If you need visual complex workflows on a budget, use Make. If you want full control, self-hosting, and the best AI capabilities, go with n8n.
- Zapier is the easiest to learn but gets expensive fast. A workflow that costs $0 on self-hosted n8n can cost $300+/month on Zapier once you hit volume.
- Make sits in the middle on price and complexity, with a visual builder that handles branching logic better than Zapier.
- n8n is the only one you can self-host, which matters for GDPR, data privacy, and total cost of ownership.
- The real comparison isn't features. It is total cost over 12 months, and that changes the answer for most businesses.
Quick answer
Zapier is best for non-technical teams running simple automations. Make is best for mid-complexity workflows where you want visual control without high costs. n8n is best for businesses that need full control, self-hosting, or AI-heavy workflows. The right choice depends on your technical comfort, how many automations you'll run, and whether data privacy matters for your industry. Most businesses start with Zapier, outgrow it within a year, and wish they'd picked differently.
What each tool actually does
All three do the same core thing: connect your business apps so data moves between them automatically. Someone fills out a form, and the data lands in your CRM, triggers an email, updates a spreadsheet, notifies your team on Slack. That kind of thing.
The difference is how they do it, what they charge, and what happens when your needs get more complicated.
Zapier launched in 2012 and has the biggest market share. It connects to 7,000+ apps and uses a simple trigger-action model. You pick a trigger (new email arrives), pick an action (create a row in Google Sheets), and you're done. No code required. It is genuinely the easiest of the three to get started with.
Make (formerly Integromat) uses a visual canvas where you drag modules and draw connections between them. It handles branching, loops, and conditional logic more naturally than Zapier. The interface looks more complex at first, but it gives you more control over how data flows.
n8n is open-source and can be self-hosted on your own server. It also has a cloud version if you don't want to manage infrastructure. The workflow editor is visual like Make, but with deeper technical capabilities, native AI nodes for Anthropic and OpenAI, and a code node for when you need custom logic.
Head-to-head comparison
| Feature | Zapier | Make | n8n |
|---|---|---|---|
| Pricing (starter) | Free (100 tasks/mo), then $19.99/mo (750 tasks) | Free (1,000 ops/mo), then $9/mo (10,000 ops) | Free (self-hosted, unlimited), cloud from ~$20/mo |
| Pricing (scale) | $49/mo (2K tasks), $299+/mo for teams | $16/mo (50K ops), $29/mo (100K ops) | Self-hosted stays free, cloud scales with executions |
| Ease of use | Easiest. Minimal learning curve | Moderate. Visual but more concepts to learn | Steepest. Requires some technical comfort |
| Integrations | 7,000+ apps | 2,000+ apps | 400+ built-in, plus HTTP nodes for anything with an API |
| AI capabilities | AI actions (limited), code steps | AI modules for text generation | Native Anthropic + OpenAI nodes, AI agent node, code node |
| Self-hosting | No | No | Yes (Docker, one command) |
| Error handling | Email notifications | Error routes, retry logic | Error workflows, retry logic, manual recovery queue |
| Branching logic | Basic (paths, limited) | Strong (routers, filters, iterators) | Strong (if/else, switch, merge, loops) |
| GDPR / data privacy | Data passes through Zapier servers (US) | Data passes through Make servers (US/EU) | Self-hosted means data never leaves your infrastructure |
When to use Zapier
Zapier wins when the workflow is simple and the person setting it up is not technical.
If you need "when X happens in app A, do Y in app B" and that is genuinely all you need, Zapier is hard to beat. The setup takes minutes. The interface makes sense immediately. And there are thousands of templates for common workflows.
Good use cases for Zapier: forwarding form submissions to a CRM, sending Slack notifications when someone books a meeting, syncing contacts between two tools, auto-creating tasks from emails.
Where Zapier falls apart is pricing at scale and complex logic. The free tier gives you 100 tasks per month. That sounds like a lot until you realise a single workflow that runs hourly uses 720 tasks per month. Suddenly you're on the $49 plan, then the $69 plan, then wondering how your automation bill got bigger than your CRM subscription.
The other issue is multi-step workflows with conditions. Zapier can do them (they call it "paths"), but it feels like forcing a screwdriver to do a hammer's job. The tool was designed for A-to-B connections, and it shows when you try to build something more complex.
When to use Make
Make is the sweet spot for businesses that need more than Zapier offers but don't want to self-host anything.
The visual canvas is genuinely good. You can see your entire workflow as a flowchart, with branches, loops, and error handling visible at a glance. It's more complex than Zapier to learn (budget a day or two), but once you understand modules and routers, you can build workflows that would take five or six Zapier "zaps" chained together.
Pricing is where Make shines compared to Zapier. The free tier gives you 1,000 operations per month. The $9/month plan gives you 10,000. For context, that same hourly workflow that costs $49+/month on Zapier might cost $9-16/month on Make, depending on how many operations each run consumes.
Make handles branching well. "If this condition is true, go left. If not, go right." You can build surprisingly sophisticated logic without writing any code. Error routes let you define what happens when something fails, which matters more than people think (we'll get to that).
The limitation is the same as Zapier: your data flows through their servers. For most businesses that is fine. But if you're in healthcare, legal, financial services, or handling sensitive client data, it is a real consideration.
When to use n8n
n8n is what we use for client work. So we should be transparent about our bias here.
We chose n8n because of three things: self-hosting, AI nodes, and cost at scale. In our experience building production workflows for clients, those three factors matter more than integration count or visual polish.
Self-hosting means you run n8n on your own server. The data never touches a third party's infrastructure. For clients in regulated industries, or anyone handling personal data under GDPR, this isn't a nice-to-have. It is a requirement. And self-hosted n8n is free. No per-execution pricing. No task limits. The only cost is the server itself (roughly $5-20/month for a VPS, depending on workload).
AI nodes are where n8n pulls ahead of both competitors. It has native nodes for Anthropic (Claude), OpenAI, and a dedicated AI agent node that can use tools, make decisions, and chain multiple AI calls together. We build AI workflows that classify incoming emails, extract data from documents, generate personalised responses, and route work to the right person. n8n handles all of that natively. Make has AI modules, and they work, but they feel bolted on. Zapier's AI actions are limited to basic text generation.
Cost at scale is the elephant nobody talks about in these comparisons. Here is a real example. One client was paying $300/month on Zapier for a set of workflows that processed incoming job applications, scored candidates, updated their ATS, and notified recruiters. We rebuilt those same workflows on self-hosted n8n. The server costs $12/month. Same functionality. The saving paid for our build fee within four months.
n8n's learning curve is steeper. You need to be comfortable with concepts like JSON, webhooks, and API responses. If nobody on your team has that comfort level, you'll either need to learn it or hire someone to build and maintain it. That's a real tradeoff.
Honestly, we think n8n is the best choice for most businesses that are serious about automation. But "most businesses that are serious about automation" is a smaller group than "most businesses." If you just need to connect two apps and you've never seen a JSON object, start with Zapier. There's no shame in simple.
The real differences nobody talks about
Pricing at scale
This is where most comparison articles are useless, because they only show you the starter plans.
Here's what actually happens. You start with a few workflows. The free tier is fine. Then you add more. Then existing workflows start running more frequently. Then you build a workflow that processes 50 items in a batch. On Zapier, each item counts as a task. Suddenly your monthly bill is climbing and you haven't even added new functionality.
A rough 12-month cost comparison for a business running 10 workflows that collectively process around 5,000 events per month:
| Tool | Monthly cost (approx) | 12-month total |
|---|---|---|
| Zapier (professional plan) | $49-99/mo | $588-1,188 |
| Make (pro plan) | $16-29/mo | $192-348 |
| n8n (self-hosted on VPS) | $10-20/mo (server only) | $120-240 |
| n8n (cloud) | $20-50/mo | $240-600 |
Those numbers shift depending on execution volume, but the pattern holds. Zapier costs 3-5x more than n8n self-hosted at similar scale. Make sits roughly in between.
Vendor lock-in
This one is sneaky. Once you've built 20 workflows on a platform, switching is painful. Your entire operational logic lives there.
With Zapier and Make, you're locked in. If they raise prices (Zapier has, multiple times), your options are pay more or rebuild everything. With n8n, your workflow files are exportable JSON. You can back them up, version-control them, move them between servers. And because it is open-source, the project can't disappear overnight or get acquired and shut down.
What happens when things break at 3am
This matters more than any feature comparison and almost nobody writes about it.
Your automation is processing customer orders. It fails at 3am. What happens next?
On Zapier, you get an email notification. You wake up, log in, see the error, and manually retry. If it was a batch of 50 orders, you need to figure out which ones succeeded and which ones didn't. There's no automatic retry logic on the free or starter plans.
On Make, you get error routes. You can define "if this step fails, do this instead" - log the error, send an alert, retry with different parameters. This is a meaningful improvement over Zapier's approach.
On n8n, you get error workflows. A separate workflow triggers when your main one fails. That error workflow can retry the failed execution, log the details, send you a Slack message with the exact error, and even attempt an alternative path. We set up error workflows for every production automation we build. It is the difference between "something broke and we lost data" and "something broke and the system handled it."
(The automation market is expected to hit $37 billion by 2030, by the way. The tooling is going to keep getting better. But right now, error handling is one of the biggest gaps between these three platforms, and it is the thing that matters most when real money is flowing through your workflows.)
What we use and why
We run n8n self-hosted for all client automation and our own internal systems. We've built 20+ production workflows on it across recruitment, professional services, and e-commerce.
The reasons are the ones we've already covered: cost, self-hosting, AI capabilities. But there's another reason that's harder to quantify. n8n treats you like a developer, even when you're not writing code. The workflow editor gives you visibility into exactly what's happening at each step. You can see the raw data flowing through, inspect every transformation, and debug problems without guessing.
That said, we're not religious about it. When a client has a team member who already knows Zapier and just needs two simple workflows, we tell them to use Zapier. The best tool is the one that actually gets used. We'd rather a client has five working Zapier automations than zero n8n workflows because the setup felt too complicated.
If you want someone to build and manage your automations so you don't have to think about which tool to use, that's what we do. We handle the tool selection, the build, and the ongoing monitoring.
How to decide
Ask yourself four questions.
How technical is the person maintaining this? If they've never seen an API response, start with Zapier. If they're comfortable with basic logic and visual tools, Make. If they can Google a Docker command without panicking, n8n.
How many automations will you run? Under 5 simple workflows, Zapier is fine. 5-20 workflows with some complexity, Make is the sweet spot on price and capability. 20+ workflows or high volume, n8n self-hosted saves serious money.
Does data privacy matter for your industry? If you handle personal data, medical records, financial information, or operate under strict GDPR requirements, self-hosting on n8n removes the third-party data processing question entirely.
Do you need AI in your workflows? If your automations involve classifying, summarising, extracting, or generating text, n8n's native AI nodes are meaningfully better than what the other two offer right now.
If you're not sure which approach fits your business, our AI readiness audit maps your current workflows and recommends the right tools. It's a two-hour deep dive for EUR500, and the fee is credited if you go ahead with a project.
Frequently asked questions
Can I switch from Zapier to n8n later? Yes, but it is a rebuild. You can't export Zapier workflows and import them into n8n. You're recreating the logic from scratch. This is why the choice matters early. The longer you wait, the more painful the switch.
Is n8n really free? The self-hosted version is free with no task limits. You pay for the server it runs on (typically $5-20/month). The cloud version starts at around $20/month with execution limits. Either way, it is significantly cheaper than Zapier at similar scale.
Which one is most reliable? All three have good uptime. The difference is what happens when a specific workflow fails, not when the platform goes down. n8n's error workflows give you the most control. Make's error routes are solid. Zapier's error handling is the weakest of the three.
Do I need a developer to use n8n? Not necessarily, but it helps. n8n's interface is visual and you can build a lot without code. But when something goes wrong or you need custom logic, having someone comfortable with technical concepts makes a big difference.