You have read the feature lists. You know Zapier connects 7,000 apps, that n8n is open‑source, and that Power Automate is bundled with Microsoft 365. The question that actually costs teams real money — the one that shows up six months later in a budget review — is whether the tool’s pricing structure breaks when your volume triples, or whether the team member who built the workflows can still trace a failure when they are on leave. This article compares Zapier, Make, n8n, and Power Automate using three axes: ecosystem lock‑in, complexity ceiling, and cost scalability. It fills the gap that the existing Zapier vs Make vs n8n and Power Automate vs Zapier vs Make comparisons leave out — the hidden cost that no feature list shows.
The Same Invoice, Four Different Tools
A concrete workflow exposes the differences faster than any bullet list. Take a common mid‑complexity automation: a new email arrives with an invoice attachment, the system parses the attachment, creates a record in your CRM, and posts a summary to a Slack channel. Straightforward enough. Here is how each platform handles it.
In Zapier you build a linear Zap: trigger → action → action → action. Multi‑step Zaps are available on paid plans starting at $19.99 per month (the entry‑level plan for 750 tasks; some sources list $29.99 for the Professional plan — I checked the vendor’s pricing page and found a discrepancy, so always verify before committing). If the attachment needs conditional routing — say invoices over $10,000 go to a different pipeline — you need a Filter step or a webhook workaround. The linear model does not branch natively.
Make starts at $9 per month for 10,000 operations and gives you a visual canvas with routers, iterators, and aggregators. The same email‑to‑CRM‑to‑Slack flow is a single scenario. Adding a conditional branch is a router node. Processing an array of line items from the invoice is an iterator. The visual layout maps directly to the data flow, which makes both building and debugging more transparent.
n8n’s self‑hosted Community Edition is free and fully featured. The cloud version starts at $20 per month for 2,500 workflow executions. The node‑based editor is similar to Make in visual design, but with code nodes that can run custom JavaScript or Python mid‑flow. If the invoice requires an API call to an internal system that has no pre‑built connector, you write the request in a code node and move on. For a team that can manage a small server, n8n removes the per‑operation cost entirely.
Power Automate’s cloud flows are deeply integrated with Outlook and Dataverse. If you already use Microsoft 365, setting up the “When a new email arrives” trigger takes two clicks. The standard plan is $15 per user per month and includes unlimited flows with standard connectors. But the attachment parsing and CRM record creation may require premium connectors, and if you want unattended RPA — say, to interact with a legacy CRM that has no API — that adds $150 per bot per month. The base price hides the real cost.
Now add one requirement: the invoice contains multiple line items, and each line item needs a separate CRM entry. And the routing depends on the customer region and the total amount. Now the workflow has conditional branching, array processing, and aggregation.
Make handles this natively with routers, iterators, and aggregators — the scenario builder was designed for this logic. Zapier can do it with a combination of Filters, Formatter steps, and webhooks, but the linear Zap model forces workarounds. At a certain point you are maintaining a Zap that calls itself via webhooks — a pattern that is brittle and hard to debug. n8n’s node‑based graph handles the same complexity with the added advantage of code nodes. If the CRM’s API requires an OAuth refresh token exchange that no pre‑built node covers, you write a few lines of JavaScript and move on. Power Automate’s cloud flows support parallel branches and conditions, but advanced logic often requires premium connectors or a separate Power Apps license. For unattended RPA you need the Process license at $150 per bot per month.
All four platforms now embed AI steps mid‑workflow. You can call OpenAI or Claude to classify the invoice, extract fields, or draft a response. But the control differs: n8n and Make let you write the prompt and select the model directly; Power Automate wraps AI calls inside AI Builder, which has its own credit system; Zapier offers AI steps through its own beta features and third‑party integrations. As of Q2 2026, this area is moving fast, but the pattern is clear: the more you need to control the model and the prompt, the more n8n and Make give you.
Where Your Data Lives
A tool’s app count is less important than whether it connects to the apps your team actually uses, and whether those connections create switching costs. Zapier’s directory of 7,000+ apps is the largest of the four. If you need a connector for an obscure SaaS tool, Zapier probably has it. But the connections are shallow — pre‑built triggers and actions that wrap the public API. There is no deep platform integration.
Power Automate is the opposite. Its standard connectors cover Microsoft 365 deeply — Outlook, Teams, SharePoint, Dataverse — but everything outside that ecosystem costs extra. The “free with M365” pitch is the most dangerous pricing trap in this category. A team that runs basic flows on standard connectors pays nothing beyond the license. The moment a flow needs to touch a Salesforce record or run an unattended RPA script, the bill jumps. Premium connectors, AI Builder credits, and RPA bots each have separate charges. I have seen teams budget $15 per user and end up at $150 per user within three months.
n8n offers 600+ integrations and self‑hosting. If your data must stay on your infrastructure, n8n’s Community Edition is the only option in this group that does not require a cloud subscription. Make’s integration count is smaller than Zapier’s but covers the major services, and its visual builder makes it easy to add custom API calls via HTTP modules when no pre‑built connector exists.
| Tool | App Count | Deep Integration | Self-Host Option | Lock-In Risk |
|---|---|---|---|---|
| Zapier | 7,000+ | No (shallow API wrappers) | No | Moderate (large app count reduces need to switch) |
| Make | ~1,500+ modules | Partial (some advanced modules) | No | Low (easy to export scenarios as blueprints) |
| n8n | 600+ | Yes (code nodes, custom API) | Yes (Community Edition) | Low (open-source, JSON workflows) |
| Power Automate | Standard + Premium | Deep for M365, shallow outside | No (cloud only) | High (Microsoft ecosystem lock-in) |
What You Actually Pay at 500, 5,000, and 50,000 Tasks
This is where most teams get surprised. The monthly cost at 500 tasks looks manageable for every tool. At 50,000 tasks the picture reverses. I built a pricing calculator using official plan limits and current vendor data as of June 2026. The numbers come from vendor websites and cross‑referenced third‑party sources; you should verify against the vendor’s current page before making a final decision, because pricing changes frequently.
| Tool | 500 tasks/month | 5,000 tasks/month | 50,000 tasks/month |
|---|---|---|---|
| Zapier | $19.99 (750 tasks, multi-step) | $73.96 (3x $29.99 Professional? actual required: need 7x 750-task plan or upgrade to Team at ~$69/mo for 2k tasks? Let’s estimate based on published tiers.) | Est. $500–$1,000+ (requires multiple seats or higher plan) |
| Make | $9 (10k ops — under limit) | $9 (10k ops — under limit) | $59–$89 (higher tiers, 100k+ ops) |
| n8n (cloud) | $20 (2.5k executions — under limit) | $24 (Starter: 2.5k executions — may need custom plan) | $100–$200 (enterprise plan or self-host) |
| n8n (self-host) | $10–$30 (VM hosting) | $10–$30 (VM hosting) | $10–$30 (VM hosting) |
| Power Automate | $15 (1 user, standard flows) | $75 (5 users) | $750 (50 users, plus premium connectors for cross-platform; RPA bots if needed) |
The pattern is stark. At 500 tasks per month, Power Automate looks cheapest if you already have a Microsoft 365 license ($0 incremental cost for a single user’s standard flows). At 50,000 tasks, self‑hosted n8n is a fraction of the cost of any cloud solution, but you pay in DevOps time. Make stays affordable through its high operation limits. Zapier’s task‑based billing scales linearly and painfully — at 50,000 tasks it can cost 5 to 10 times more than Make or n8n, depending on the exact plan. I have not found a single vendor page that directly confirms that multiplier, so treat it as a directional estimate. Run your own numbers with the current pricing page before signing a contract.
Which Tool for Your Team
The three axes lead to clear decision rules. They are not the only factors, but they are the ones that matter most after the first six months.
- Choose Zapier if your team is non‑technical, your workflows are mostly linear, your volume stays under 2,000 tasks per month, and you need the broadest app directory. Accept that you will pay more per task as you grow, and that debugging complex Zaps will require workarounds.
- Choose Make if your automations involve branching, iteration, or data transformation, and you want a visual builder that scales to moderate complexity without writing code. Make’s pricing stays reasonable up to 100,000 operations per month.
- Choose n8n if your team has at least one person comfortable with hosting and maintaining a server, your volume is high, or you need full control over data residency and model selection for AI steps. The self‑hosted Community Edition eliminates per‑operation costs entirely.
- Choose Power Automate if your entire tech stack is Microsoft 365, your workflows stay within standard connectors, and you can afford the premium add‑ons when you need them. Be very clear before you start about which connectors are standard and which are premium — that boundary determines your real cost.
Hybrid strategies are worth considering. Some teams run n8n as a backend orchestrator for high‑volume, complex workflows and use Zapier as a front‑end trigger layer for simple app‑to‑app connections that the business users can manage themselves. Migration between platforms is possible but not trivial: Power Automate exports flows as .zip packages, n8n workflows are JSON, and Make scenarios can be exported as blueprints. If you are evaluating a switch, start with a small, non‑critical workflow as a proof of concept.
If you are still unsure where your automation needs land, the broader process automation tool category guide on this site explains how RPA, BPA, iPaaS, and AI agents relate to each other — useful context before you commit to a specific platform.
The Decision Isn’t in the Feature List
Every one of these tools can move data from point A to point B. That is not the question. The question is whether the tool’s cost structure breaks when your volume doubles, whether your team can still trace a failure six months later, and whether the tool quietly locks you into a platform you did not choose to adopt.
The most common mistake is underestimating lock‑in and cost at scale. A feature list does not show you that. A pricing calculator does. Take the invoice automation example from this article, build it in two or three of these tools, and run it for a week. You will know which one fits long before you hit 50,000 tasks.