Zapier, Make, and n8n are the three most widely used tools for automating flows between applications without writing code. All three connect systems, move data, and trigger actions automatically. The difference is in pricing, the complexity of flows they can handle, and the level of control each offers. For most mid-size companies in LATAM, the right choice is Make or n8n.
Companies use dozens of different applications: a CRM, an invoicing system, WhatsApp, email, spreadsheets, payment platforms. Those applications do not communicate with each other natively. When someone closes a sale in the CRM, someone has to create the invoice in the accounting system, send the welcome email, and notify the operations team.
Without automation, those actions depend on someone doing them manually. With a flow automation tool, they happen automatically when a condition is met.
Zapier has the simplest interface of the three and the largest number of native connectors: thousands of applications with pre-built integrations. Setting up a "Zap" — the name Zapier gives to an automated flow — takes minutes for simple cases.
Pricing model: Zapier charges per number of "tasks" executed per month. A task is each action executed within a Zap. A flow that runs one hundred times a month with three actions each time consumes three hundred tasks.
The free plan limit is very low. On mid-tier plans, the cost can be significant for high-volume flows. For companies in LATAM where exchange rates make dollar-denominated prices heavier, this needs careful evaluation.
Technical limitations: Zapier flows are linear. They do not support complex conditional logic, iterations over data lists, or sophisticated error handling without moving to more expensive plans. For simple "when X happens, do Y" flows, it is sufficient. For flows with multiple logic branches, it falls short.
When Zapier fits: the team has no technical capacity, the flows are simple, the volume is low, and implementation speed is the priority.
Make has a more complex visual interface than Zapier but offers significantly greater capabilities. Flows are built as diagrams where all connections, conditions, and steps are visible.
Pricing model: Make charges per "operations" per month, where each module executed counts as one operation. The model is more predictable than Zapier because the cost does not vary as much by how much data each flow processes, but by how many modules execute.
Make's free plan is more generous than Zapier's in terms of capacity. Paid plans are more economical for medium volumes.
Technical capabilities: Make supports conditional logic, array iterations, error handling with alternative routes, and more complex data transformations. For flows that need to evaluate conditions, process lists of records, or handle errors intelligently, Make is more appropriate than Zapier.
When Make fits: flows with more complex logic, teams with some technical capacity, when Zapier's cost is not justifiable for the volume.
n8n is the open-source option. It can be installed on company-owned servers or on platforms like Railway, Render, or a VPS. That has two important consequences.
Cost: when self-hosted, the infrastructure cost is the server cost, which can be ten to thirty dollars per month for most cases. There is no per-operation cost. For companies with high automation volumes, the cost difference with Zapier or Make can be hundreds of dollars per month.
Data control: data processed by flows does not leave the company's infrastructure. For processes involving sensitive client data or financial information, this can be a security or compliance requirement.
Technical requirement: someone needs to install n8n, configure it, update it, and maintain it. If the server has a problem, someone on the technical team has to resolve it. For companies without that resource, the real cost of n8n includes that maintenance.
When n8n fits: companies with sensitive data, teams with internal technical capacity, high volumes where SaaS costs do not scale, when full control over infrastructure is a priority.
For most mid-size companies in LATAM, the recommendation is to start with Make if there is no significant internal technical capacity, or with n8n if there is.
Zapier makes sense for very simple automations or when implementation speed is critical and budget allows it. For everything else, Make offers more capability for the same money, and n8n offers full control when the team can sustain the infrastructure.
Does your company need to connect systems and automate flows but is unclear on which tool to use? In thirty minutes we evaluate what makes sense for your specific case.
MORE IN THIS CATEGORY
How to Transition from Manual to Automated Processes
How to manage the transition period when a company moves from manual to automated processes. Why adoption fails and how to prevent it. For companies in LATAM.
The Difference Between a Custom System and a SaaS Tool
When it makes sense to build a custom system versus buying a SaaS tool. A decision framework for mid-size companies in LATAM evaluating their tech infrastructure.
Salesforce vs HubSpot vs Custom CRM in Latin America
An honest comparison of Salesforce, HubSpot, and custom CRMs for mid-size companies in Latin America, including WhatsApp and dollar pricing realities