n8n vs Zapier vs Make: Workflow Automation for Indian Businesses

Workflow automation is now routine for businesses of every size. Leads from a form need to land in your CRM, orders need to flow into your ERP, payment confirmations need to trigger WhatsApp messages, and hundreds of small tasks need to run without anyone touching them. Zapier and Make (formerly Integromat) built a large market on this with polished hosted platforms. n8n is the challenger you can run on infrastructure you own.

What are n8n, Zapier and Make, and how do they differ?

Zapier

Zapier is the original automation platform and still the best known. It works on a trigger-action model: an event in App A fires an action in App B. Multi-step Zaps, filters and paths add flexibility, but the data flow is mostly linear. Its strength is its integration library: thousands of apps connect with little configuration. It is the right choice when automations are simple and you want them running within the hour.

Make (formerly Integromat)

Make offers a visual scenario canvas that routes data across branches, loops and filters. It handles complex logic better than Zapier and usually costs less per step. It has a free tier and appeals to technical non-developers who want visual control without writing code.

n8n

n8n is a workflow automation tool you can self-host on any server, VPS or container. Its node editor resembles Make's canvas but adds Code nodes (JavaScript and Python), an HTTP Request node for any API, sub-workflows and custom nodes. n8n Cloud exists as a hosted option; the Community Edition on your own infrastructure has no execution limits and no licence fee.

How does pricing compare across n8n, Zapier and Make?

This is the comparison that changes the decision for most growing Indian businesses. Prices and plan limits change often, so take current figures from each vendor's own page (Zapier, Make, n8n); what matters here is what each one counts.

Zapier: per task

Zapier's plans are sized by tasks per month, with a small free plan for testing. Every action step in a multi-step Zap counts as a task. A single automation that fetches a record, enriches it, writes to a spreadsheet and sends a WhatsApp message uses four tasks each time it runs, so task use grows with both volume and workflow length.

Make: per credit

Make bills in credits. It replaced "operations" with credits as its billing unit on 27 August 2025, converting balances 1:1. Most modules use one credit per run, and some AI and advanced modules use more. Every module execution counts, so scenarios with loops can still use up a plan quickly.

n8n: per execution, or nothing

Self-hosted Community Edition: free under the Sustainable Use License, with unlimited workflows, executions and users. You pay only for the server, whether you run a thousand executions a month or a million. A small VPS from any mainstream provider is enough to start.

n8n Cloud: plans are sized by executions per month. One execution is one workflow run, however many steps it has, so a long workflow costs the same as a short one.

What this means at volume

The structure decides the outcome. Per-task and per-credit billing grows with every step of every run; self-hosted n8n stays at the cost of the server and the time to run it. For a business running tens of thousands of automated steps a month, that difference is usually large. Model it with your own numbers: count your monthly runs and steps per run, price them on each vendor's current page, and compare with the cost of a server plus the time to keep it running.

Who owns your data on each platform?

This matters more for Indian businesses than most SaaS comparisons admit.

When you run workflows on Zapier or Make, your data (customer records, order details, financial transactions, employee information) passes through their cloud infrastructure, outside India. Both platforms publish data processing agreements and security certifications, but the data leaves your control and crosses jurisdictions.

With self-hosted n8n on a server in India (an Indian cloud region, or a server in your own data centre), workflow data stays within your infrastructure. Credentials, API keys and intermediate data stay in your environment. For regulated industries, enterprise contracts and businesses that do not want a foreign SaaS to see their customer data, this is a concrete requirement.

MithTech deploys n8n with encrypted credential storage, role-based access and optional network isolation, so the automation layer runs at the same security level as the rest of your infrastructure.

Which platform handles complex workflows best?

Zapier's linear model

Zapier is fast to set up and easy for non-technical staff. Its trigger-action chain gets awkward when you need:

• Branching logic based on record values
• Looping over arrays (for example, every line item in an order)
• Transformations beyond the built-in formatters
• Error handling that routes failures to a fallback path

Paths and Formatter help, but each step adds to the task count, and the model is still constrained.

Make's visual canvas

Make's canvas handles branching and iteration natively. You can aggregate data from several sources, iterate over a list, process each item and branch on any field. For a non-developer who needs this control, Make is more capable than Zapier.

n8n's code-native approach

n8n lets you add a Code node (JavaScript or Python) anywhere in a workflow. If a built-in node does not do what you need, you write the transformation yourself. Sub-workflows break complex logic into reusable parts. The HTTP Request node calls any REST or GraphQL API without waiting for a native integration. That matters in India, where many tools (payment gateways like Razorpay and Cashfree, logistics providers, government APIs) have REST APIs but may not have a first-class Zapier integration.

How do these tools integrate with ERPNext and WhatsApp?

ERPNext and the WhatsApp Business API are the two most common integration targets for Indian businesses automating operations.

ERPNext integrations

ERPNext exposes a full REST API. Zapier and Make each have only limited community or third-party ERPNext connectors, covering a narrow set of DocTypes.

With n8n you call ERPNext's REST API directly through the HTTP Request node (or a community ERPNext node). You can create Sales Orders, fetch customers, update stock entries, post Payment Entries and trigger any DocType workflow, limited only by what the ERPNext API exposes. Integrations we build as part of n8n deployments include:

• New lead from a website form → create an ERPNext Lead → assign to a sales rep → send a WhatsApp welcome message
• Shipment update from a logistics API → update the ERPNext Delivery Note → notify the customer on WhatsApp
• Payment confirmed in Razorpay → create an ERPNext Payment Entry → generate the GST invoice → email it to the customer

How we run ERPNext projects is on the ERPNext implementation page.

WhatsApp Business API

WhatsApp automation for Indian businesses usually runs through a Business Solution Provider (BSP) such as Gupshup, Interakt or WATI, or directly on Meta's Cloud API; all expose webhook and REST APIs. All three platforms can trigger WhatsApp messages, but n8n gives you the most control:

• Listen on a webhook for inbound WhatsApp messages and route them to the right ERPNext DocType
• Build conversational flows that read state from ERPNext before replying
• Handle media messages (PDFs, images) and attach them to ERPNext records

Meta's own charges apply on every platform: it bills per delivered message, by category (marketing, utility, authentication). Template messages have been billed that way since 1 July 2025. Replies inside an open 24-hour customer-service window, and utility templates sent inside it, have been billed since 1 October 2026, with a free monthly tier for replies (Meta, checked 14 October 2026). What changes between platforms is the automation fee on top. For order confirmations, payment reminders and support workflows at volume, self-hosted n8n with your own BSP avoids paying a per-task fee on every one of those messages.

When should you choose Zapier or Make instead?

n8n is not always the right answer.

Choose Zapier if:

• You need to connect two or three popular SaaS apps with minimal setup, and the automation is simple
• Nobody on your team is comfortable with a command line or server administration
• Your task volume is low and growing slowly
• You need a native integration with a niche SaaS tool that only Zapier supports

Choose Make if:

• You want visual, branching workflows without hiring a developer
• Your volume is moderate and you are price-sensitive compared with Zapier
• You do not want infrastructure to manage

Choose self-hosted n8n if:

• Your task volume is high or growing fast and per-task pricing is becoming material
• You are integrating with ERPNext, custom APIs or Indian tools without established Zapier connectors
• Data residency or privacy rules mean your data must stay on Indian infrastructure
• You need code-level logic, sub-workflows or detailed error handling
• You want to own your automation stack without vendor lock-in

How do they compare head to head?

How do you move existing Zapier workflows to n8n?

Rebuild rather than convert. There is no importer, and a rebuild is usually faster than fighting one:

1. Rank your Zaps by task consumption, not by age. The top few usually account for most of the bill, and they are the ones worth moving first.
2. Stand up n8n on a small VPS (our self-hosting guide covers it) and connect credentials for the two or three apps those top Zaps use.
3. Rebuild the highest-volume workflow first and run it alongside the Zapier version for a day, comparing outputs record by record.
4. Switch the trigger over, and leave the Zap paused, not deleted, for a week.
5. Work down the list, folding multi-step Zaps into single n8n workflows: what Zapier bills as four tasks is one execution here.
6. Drop your Zapier plan a tier at a time as volume moves, so you never pay for headroom you no longer use.

Frequently asked questions