Zapier vs. Make.com vs. n8n in 2026: Which Automation Fits Your Team?

Zapier vs. Make.com vs. n8n is the question most ops, IT and RevOps teams ask when the manual copy-paste between apps gets too much. The three platforms look similar at first glance - trigger, action, done - but they split along three lines: how they bill (per task, per operation, per execution), where they host your data (US, EU zones, your own server) and how much engineering they need. The right pick depends on who is going to build the flows, which systems carry personal data, and how much the team is willing to maintain. This article compares the three on the criteria that matter in 2026 and shows where an AI employee like Superkind sits next to them.

Every fact below is checked against the vendor's own pages as of October 2026. Where a vendor does not say, we write "check with vendor".

What are Zapier, Make.com and n8n?

Zapier, Make.com and n8n are automation platforms that connect your business apps and move data between them, so a trigger in one program starts an action in another. Zapier (founded 2011, in Sunnyvale) is the oldest and broadest of the three, Make.com (formerly Integromat, now part of Celonis) runs a visual canvas of modules, and n8n (based in Berlin) is open-source and designed to be self-hosted or run as a cloud service in Frankfurt. All three move data; none of them does the work in natural language the way an AI employee does.

How each platform works

The three products share the trigger-and-action idea. They differ in how they let you build and run it.

Zapier: step list, broadest catalogue

You pick a trigger (new email, new row in a sheet, new deal in HubSpot), then one or more actions (send a message, create a record, call an API). You see a vertical step list. Zapier connects to more than 9,000 apps¹, which is more than Make.com and n8n combined. The AI steps are built in, and Zapier now offers Agents and MCP for connecting outside LLMs¹. Human in the Loop is available as a step inside a Zap for approvals, with reviewers needing a Zapier account⁵.

Make.com: visual canvas, EU zones

You draw a scenario on a canvas of modules, with branches, routers, iterators and error handlers⁶. Each organisation runs in a data zone (US1, US2, EU1 or EU2) and the processing follows the zone⁸. Make.com is part of Celonis, which makes it a familiar name for larger teams on the process-mining side.

n8n: nodes, open source, self-hostable

You wire together nodes in a graph; each node is a trigger, action or logic step. You can run n8n as a cloud service, hosted in Frankfurt, or as the free Community Edition on your own server through Docker⁹¹¹. Developer teams like n8n because flows are JSON files you can version-control in Git and because the HTTP node and code nodes make almost any API reachable.

Superkind: write the task, no flow

Instead of a graph, you write the task to Superkind in Outlook, Teams, Slack or the Superkind web app, like you would to a colleague. Superkind does the task in your programs through 1,500+ integrations, with your company knowledge and rules, and asks for approval before anything goes out. Hosted in Europe, GDPR compliant, no training on your data.

Zapier vs. Make.com vs. n8n at a glance

Hosting and data protection are shown as each vendor documents them. Prices are as of October 2026, excl. VAT where applicable.

Hosting and data protection: where your customer data really goes

If your flows move personal data - invoices, applicant files, order details, support tickets - the location of the processing matters more than the size of the catalogue. The three platforms sit in three different places.

• Zapier - AWS in the United States - Zapier hosts data on AWS servers in the US, and the documentation names US-East 1 as the primary location². Region-specific data residency is not available unless otherwise agreed². The DPA is part of the Terms of Service, so every customer has one, but Zapier does not sign a separate copy from your legal team³. Enterprise customers are opted out of model training automatically; everyone else can opt out⁴.
• Make.com - EU zones for scenarios, US for some AI - Make lets your organisation sit in EU1 or EU2, which keeps scenario data in Europe⁸. The catch is in the AI features: Maia, Make AI Web Search and all OpenAI models in Make's AI Provider go to the US regardless of the zone⁸. If a scenario uses one of these steps with personal data, the EU zone no longer covers that leg.
• n8n - Frankfurt or your own servers - Hosted n8n stores data in the EU on servers in Frankfurt⁹, and the DPA is pre-signed and downloadable¹⁰. If you self-host the Community Edition, your data lives wherever you run the container, usually your own cloud or data centre¹¹.

The EU AI Act (Regulation (EU) 2024/1689) does not pick a tool for you¹², but it does ask you to document who processes what and to ensure sufficient AI literacy in the team. If your data protection officer requires a signed DPA, processing in Europe and no training on your data by default, Zapier Pro and Team do not clear the bar out of the box, Make.com clears it only when you avoid the US-only AI features, and n8n clears it in Frankfurt or self-hosted.

Pricing in 2026: three ways to count the same work

The three platforms do not count the same unit. A five-step flow that reads an email, extracts a line item, writes to a sheet, posts to Slack and sends a confirmation looks very different on each bill.

Zapier - per task, every action counts

• Free: 100 tasks per month, two-step Zaps only¹.
• Pro: from $19.99 per month billed annually, 750 tasks included at the entry tier; 1 seat¹.
• Team: from $69 per month billed annually, 2,000 tasks included at the entry tier; up to 25 seats¹.
• Enterprise: custom, unlimited users¹.
• Overages: extra tasks cost 1.25x the base rate on annual plans and 2.5x on monthly plans, with pay-per-task enabled; usage caps at 3x your plan until the next cycle¹.

Every successful action in a Zap counts as one task¹. A five-step Zap burns five tasks per run, so a daily order routine that handles 50 orders a day is 50 x 5 = 250 tasks a day, or roughly 7,500 a month, well past Team's base allowance.

Make.com - per operation, most actions one credit

• Free: 1,000 operations per month⁶.
• Core, Pro, Teams: share a 10,000-credit base and add features as you go up - unlimited active scenarios and one-minute scheduling (Core), priority execution and full-text log search (Pro), team roles and shared templates (Teams)⁶.
• Enterprise: on request, SSO and premium support⁶.
• Start-up plan: organisations under 20 employees may qualify for 50% off the Business plan⁶.

Make.com counts operations, not tasks. Most modules consume one credit per run; AI steps can consume more, and routers and error handlers consume none⁶. Check vendor's current price list for Core, Pro and Teams, as the paid prices on third-party pages disagree.

n8n - per execution, whole flow

• Starter: €20 per month billed annually, 2,500 workflow executions, unlimited users⁹.
• Pro: €50 per month billed annually, 10,000 workflow executions⁹.
• Business: €667 per month billed annually, 40,000 workflow executions, self-hosted only for now; hosted on waitlist⁹.
• Enterprise: custom; invoice billing, SLA⁹.
• Community Edition: free self-hosted, unlimited executions; pay for your server⁹.

n8n bills the whole execution, not each step. The same five-step order flow is one execution per order, so 50 orders a day is 1,500 executions a month, inside Starter.

Superkind - credits for the whole company

• Free: up to €150 one-off in credits to start, no credit card, every feature and every connection, unlimited users.
• Business: from €50 per month, 25,000 credits; €100 covers up to 1,000 tasks or 5,000 questions. Unused credits carry over one month. Unlimited users. Cancel monthly.
• Enterprise: custom for larger volumes, with dedicated support, SLA, SSO/SCIM and audit log.
• Stand: October 2026, excl. VAT.

Superkind is priced per credit for the whole company, not per seat, so adding people does not change the bill. A task costs 50 to 500 credits depending on steps, and the Company Brain and routines are not billed as separate flows.

Learning curve: who in the team will build this?

Pricing is not the only cost. The time it takes to build a flow and keep it running is where most of the real spend sits.

• Zapier - fastest first flow - pick trigger, pick action, map a field, save. A marketer or an ops person can ship a working Zap in half an hour. The downside is debugging: if a flow misfires, the step list and run history are the only tools you have, and complex Zaps turn into long vertical lists.
• Make.com - visual payoff, steeper start - once you understand modules, routers and iterators, Make.com reads better for complex scenarios than Zapier does. The canvas shows the branches at a glance. The downside is that the first week asks more of a non-technical person than Zapier does.
• n8n - built for developers - you benefit from n8n if someone on the team is comfortable with JSON, a bit of JavaScript in code nodes and, for self-hosting, Docker. The upside is that there is almost no API n8n cannot reach. Without that person, it stalls.
• Superkind - write what you need - no builder at all. You write the task to Superkind the way you would to a colleague, and Superkind does it in your programs. The team member who already does the work can hand it over without learning a flow tool.

Where each one hits a limit

None of the three is bad. Each one hits a limit at the same spot every time.

• Zapier - the task count catches up - teams that start on Pro grow into Team, then into Enterprise, because a few busy flows burn through the task allowance in weeks. The per-task bill does not shrink with scale unless you push a volume high enough for an Enterprise discount.
• Zapier - seats are limited - Free and Pro have 1 seat and Team 25¹. In practice one person builds every Zap, and when that person leaves, nobody knows how the flows work.
• Make.com - the operations ceiling comes faster than it looks - operations are counted per module run, so a scenario with 15 modules does 15 operations per cycle. Teams routinely hit the 10,000-operation base and have to buy top-ups or move up.
• Make.com - US-only AI inside EU zones - the EU data zone covers the scenario data, but Maia, Make AI Web Search and all OpenAI models in Make's AI Provider go to the US regardless⁸. If a scenario uses one of them with personal data, the EU zone no longer covers that step.
• n8n - self-host complexity is real - Docker, backups, upgrades, scaling: the "free" Community Edition is free in licence only. Teams that budget three days a quarter for maintenance usually keep it. Teams that do not usually end up on the hosted plan or move to Superkind for the non-engineering work.
• n8n - not for non-technical teams - the Buchhaltung does not open n8n. The whole platform is built for engineers who like code and nodes.

When you do not want to build flows at all: Superkind

Superkind is an AI employee for your team. Instead of drawing a diagram, you write to Superkind in Outlook or any email inbox, Microsoft Teams, Slack or the Superkind web app, like you would to a colleague. It is hosted in Europe, GDPR compliant and works through 1,500+ integrations, including SAP Business One, DATEV, HubSpot, Excel, Google Sheets and lexoffice. Superkind does the task in your programs, asks for approval before anything goes out, and remembers what it learned the next time.

1. 1

   You write to Superkind

   In Outlook, Teams, Slack or the web app, in plain words. Forward the invoice email and say what should happen.

2. 2

   Superkind does it in your systems

   It reads the invoice, matches it to the open PO in SAP Business One, posts to DATEV with the right cost centre and updates the payment list in Excel, processed in Europe.

3. 3

   Superkind asks for approval

   Before the payment reminder goes out, you see it and click Approve or Reject, in Teams, Slack or your inbox. Invoices over €10,000 go to management first.

4. 4

   Done, and next time it is a routine

   Say it once and it keeps running: "Every invoice that lands in rechnungen@ gets matched and posted the same way, with a Monday summary to me."

From the first task to your own ops app

For an ops team that used to run its CRM-to-invoicing bridge on Zapier or Make, the path to its own AI team has four stages.

1. 1

   Ready in minutes

   Sign up for free, give the first task in Outlook or Teams and watch Superkind sync a deal in HubSpot into the invoice draft in lexoffice.

2. 2

   Tasks become routines

   What you explained once keeps running: every closed deal in HubSpot becomes an invoice draft, with the customer address and item list taken from the Company Brain, and Superkind asks for approval before anything goes out. No flow to maintain.

3. 3

   Learns from day one

   The Company Brain remembers which system is source of truth for which field: addresses from HubSpot, prices from the ERP, VAT rates from DATEV. Unlike logic hidden in one person's Zaps, this knowledge is never lost, even when people leave.

4. 4

   Your own ops app

   When it gets more complex, you do not start over: you build your own ops dashboard with its own interface on the Superkind platform, on top of what Superkind already knows. Built yourself or with the Superkind team. It all belongs to you.

Data protection and EU hosting

Safe by default

Your data stays in Europe, under a DPA, with no training on your data.

• Hosted and processed in Europe
• GDPR compliant
• Aligned with the EU AI Act
• No training on your data
• DPA through the Trust Center

For a Zapier or Make replacement this means: the customer, order and invoice data that used to pass through automation flows is processed in Europe, under one DPA for the whole company, with a person approving before anything leaves the team. Compare on your own setup: see GDPR-compliant Zapier alternatives, Make alternatives and n8n alternatives.

Which fits your team?

Four quick patterns from teams that already made the call.

Pick Zapier when...

• You connect many apps with simple flows, and the person who builds them is not an engineer.
• The data has no personal customer or employee details, or you are on Enterprise and happy with the DPA setup.
• Catalogue size wins: the one niche app you need is only on Zapier.

Pick Make.com when...

• Your flows have real branching logic and you want a visual canvas, not a step list.
• You can keep the scenarios inside an EU data zone and avoid the US-only AI features for personal data⁸.
• You want to pay for operations rather than per task.

Pick n8n when...

• You have at least one developer who likes JSON flows and version control.
• You want data in Frankfurt or on your own servers, and the ability to self-host without a licence.
• You run many steps per flow and want to pay per execution, not per step.

Pick Superkind when...

• You would rather not maintain workflow diagrams at all.
• The work is daily, in Outlook, Teams or Slack, and someone has to approve before anything goes out.
• The whole team should use it, not one builder, and you want processing in Europe.
• You care about keeping company knowledge inside the company, not inside one person's account.

Many teams run two of them at once: n8n for the technical integrations, Superkind for the day-to-day work in email and chat.

Conclusion

The 2026 answer to Zapier vs. Make.com vs. n8n is not one tool, it is three bets. Zapier is the widest catalogue and the fastest first flow, but data sits in the US and the per-task bill grows with every step. Make.com has a visual canvas and EU zones, with a caveat on US-only AI features. n8n is the developer-first platform, with EU hosting in Frankfurt or self-hosting, and the lowest cost per run once you have an engineer who maintains it. If you would rather hand over the task than build the flow, Superkind takes it in Outlook, Teams or Slack, does it in your programs through 1,500+ integrations, and asks for approval before anything goes out. Your next step: list the three busiest flows your team runs today and send the first one to Superkind as a plain-English task.

Frequently Asked Questions

Related Articles

• 8 GDPR-Compliant Zapier Alternatives for Business in 2026
• GDPR-Compliant Make.com Alternatives for European Teams
• n8n Alternatives Without the Self-Host Overhead
• Make.com Pricing 2026: What It Really Costs
• n8n Pricing 2026: Cloud and Self-Hosted Cost Compared
• All Superkind integrations

Henri Jung

Co-founder of Superkind, the AI employee teams write to in Outlook, Teams and Slack. Henri helps companies, from small teams to the Mittelstand, hand their routine work to AI - without new tools, consultants or an in-house AI team.