n8n vs Zapier vs Make: Honest Pricing, Features, and Scalability Compared for 2026

Choosing between n8n, Zapier, and Make comes down to three things: how much automation you need, how technical your team is, and how fast your costs will grow. A 10-step workflow on Zapier can cost 10x what it costs on n8n — but n8n demands engineering time that Zapier doesn’t.

This comparison cuts through the marketing and gives you real cost scenarios at 1,000, 10,000, and 100,000 monthly operations so you can make an informed decision based on your actual workload, not hypothetical feature lists.

The workflow automation market reached approximately $24.6 billion in 2025 and is projected to grow to $27 billion in 2026, according to Straits Research. That growth is driven by businesses like yours trying to eliminate repetitive manual work — and these three platforms are the leading tools to do it.

Quick Comparison: n8n vs Zapier vs Make at a Glance

Before diving into the details, here’s what separates these platforms at the highest level.

Feature	Zapier	Make	n8n
Starting price	$19.99/mo	$9/mo	Free (self-hosted)
Free tier	100 tasks	1,000 ops	Unlimited
Billing model	Per task	Per operation	Per execution
Integrations	6,000+	1,500+	1,000+

The billing model difference is the single most important factor. Zapier charges for every step in a workflow. Make charges per operation (similar, but bundles more efficiently). n8n charges per workflow execution — meaning a 20-step workflow costs the same as a 2-step one. That distinction alone can create a 10x price difference at scale.

How Each Platform Actually Works

Zapier: The Easiest Path to Automation

Zapier pioneered no-code automation and it shows. The interface is so straightforward that a marketing manager can build a working “Zap” in under an hour without touching documentation. You pick a trigger app, choose an event, connect an action app, and you’re done.

That simplicity is Zapier’s greatest strength and its most expensive trade-off. According to Flowmondo’s automation analysis, 69% of Fortune 1000 companies use Zapier — not because it’s the cheapest or most powerful, but because it’s the fastest to deploy.

Where Zapier excels:

• Connecting SaaS apps with zero coding (CRM to email, form to spreadsheet, Slack to project management)
• Teams where nobody has engineering bandwidth for automation
• Quick one-off integrations that need to work immediately
• Access to the largest integration catalog at 6,000+ apps

Where Zapier struggles:

• Complex branching logic or multi-path workflows
• High-volume operations (costs escalate fast above 2,000 tasks/month)
• Data transformation beyond basic formatting
• Any workflow requiring loops or iterative processing

Make (formerly Integromat): The Visual Middle Ground

Make sits between Zapier’s simplicity and n8n’s technical power. Its drag-and-drop visual builder uses a flowchart-style canvas where you can see the entire workflow laid out, including branches, error handlers, and parallel paths.

With over 250,000 active businesses on the platform, Make has proven itself as a serious Zapier alternative — particularly for teams that need more sophisticated logic without writing code. The visual approach makes complex workflows understandable at a glance, which is a real advantage when debugging or handing off automations to colleagues.

Where Make excels:

• Multi-step workflows with conditional branching and error handling
• Visual debugging — you can see exactly where a workflow failed and why
• Data transformation using built-in functions (no code required)
• Price-to-power ratio for teams processing 5,000-50,000 operations monthly

Where Make struggles:

• No self-hosting option (your data always passes through Make’s servers)
• JavaScript support limited to Enterprise plans
• Integration count is growing but still trails Zapier significantly
• Complex API calls sometimes require workarounds

n8n: Full Control for Technical Teams

n8n is the only platform in this comparison that you can self-host — meaning your data never leaves your servers. That alone makes it the default choice for companies handling sensitive data, operating under strict compliance requirements, or simply wanting full control over their automation infrastructure.

The platform raised a Series C round at a $2.5 billion valuation in October 2025, signaling that the market sees serious potential in the self-hosted automation space. With 230,000+ active users, n8n has built a substantial community despite being the most technically demanding option.

Where n8n excels:

• Self-hosting with complete data sovereignty (run it on a $5/month VPS)
• Complex automations with JavaScript/Python code nodes
• AI workflow building with ~70 dedicated AI nodes and LangChain integration
• Cost efficiency at high volume — per-execution billing means complex workflows stay cheap

Where n8n struggles:

• Steeper learning curve (expect weeks, not hours, to become proficient)
• Smaller pre-built integration library (though the HTTP/API node covers most gaps)
• Self-hosting requires server maintenance and monitoring
• Less polished UX compared to Zapier or Make

The Real Cost Comparison: Three Scenarios

Pricing pages are designed to look attractive. Real costs depend on your specific workflow complexity and volume. Here are three concrete scenarios based on typical business automation needs.

Scenario 1: Small Business (1,000 operations/month)

A local service business automating lead capture from a website form to a CRM, sending confirmation emails, and updating a Google Sheet.

Workflow: 5 steps per execution, ~200 executions per month = 1,000 total operations.

Platform	Plan needed	Monthly cost	Notes
Zapier	Free	$0	Barely fits within 100-task limit
Make	Free	$0	Comfortable within 1,000-op limit
n8n Cloud	Starter	$20	Overkill — 2,500 executions included
n8n Self-hosted	Free	~$5	VPS cost only

Verdict: At this scale, Make’s free tier wins. Zapier’s free tier is too restrictive (100 tasks is just 20 five-step executions). n8n is unnecessary unless you already have a server.

Scenario 2: Growing Company (10,000 operations/month)

An e-commerce company syncing orders between Shopify and an ERP, updating inventory across channels, sending personalized post-purchase emails, and feeding sales data into a reporting dashboard.

Workflow: 8 steps average, ~1,250 executions per month = 10,000 total operations.

Platform	Plan needed	Monthly cost	Notes
Zapier	Professional	~$49-99	10,000 tasks requires higher tier
Make	Core	$29	40,000 ops included — room to grow
n8n Cloud	Starter	$20	2,500 executions covers 1,250 actual runs
n8n Self-hosted	Free	~$10	Slightly beefier VPS

Verdict: Make offers the best value here. n8n self-hosted is cheapest but requires maintenance. Zapier’s per-task billing makes it 2-5x more expensive than alternatives.

Scenario 3: Scale-Up (100,000 operations/month)

A mid-market SaaS company running automated onboarding sequences, syncing data across 8+ tools, processing webhooks, running daily reporting jobs, and managing a complex lead scoring pipeline.

Workflow: 15 steps average, ~6,700 executions per month = 100,000 total operations.

Platform	Plan needed	Monthly cost	Notes
Zapier	Team/Company	$1,200-1,500	Per-task billing at high volume hurts
Make	Pro/Teams	$90-180	Still competitive at this scale
n8n Cloud	Pro	$50-120	Depends on execution count
n8n Self-hosted	Free	$15-30	Dedicated VPS with monitoring

At 100,000 operations monthly, the price gap becomes enormous. Zapier can cost 50-100x what self-hosted n8n costs for the same work.

Verdict: n8n self-hosted is the clear winner for cost-conscious teams at this scale. Make remains viable. Zapier’s pricing model simply doesn’t work for high-volume automation — and this is where many businesses start exploring custom automation solutions built specifically for their workflows.

Billing Models Explained: Why This Matters More Than Features

The pricing table above only tells part of the story. Understanding how each platform counts usage reveals the true cost difference.

Zapier counts tasks. Every single step in a workflow is one task. A five-step Zap that runs once uses five tasks. Run it 100 times and you’ve consumed 500 tasks. This adds up fast for multi-step workflows.

Make counts operations. Similar to Zapier’s tasks, but Make bundles certain internal operations more efficiently. A comparable five-step scenario on Make typically consumes fewer operations than Zapier tasks because Make handles routing and filtering differently.

n8n counts executions. One workflow run = one execution, regardless of how many nodes (steps) it contains. A 3-node workflow and a 30-node workflow both cost the same. This is the fundamental reason n8n is dramatically cheaper for complex automations.

Here’s a practical example. Imagine a workflow that:

1. Receives a webhook from your website
2. Looks up the customer in your CRM
3. Checks their purchase history
4. Applies conditional logic (new vs. returning customer)
5. Creates a personalized email
6. Sends the email
7. Logs the interaction in a spreadsheet
8. Updates a Slack channel

That’s 8 steps. On Zapier, each execution consumes 8 tasks. On Make, roughly 6-8 operations. On n8n, exactly 1 execution. Run this workflow 1,000 times per month, and the gap is enormous: 8,000 Zapier tasks vs. 1,000 n8n executions.

Integration Ecosystem: Quality Over Quantity

Zapier’s 6,000+ integrations is an impressive number, but it needs context. Most businesses use 5-15 apps in their automation stack. The question isn’t “which platform has the most integrations?” but “does this platform integrate with my tools?”

All three platforms cover the essentials: Salesforce, HubSpot, Slack, Google Workspace, Microsoft 365, Shopify, Stripe, Jira, Notion, and Airtable are available everywhere. The differences emerge in niche tools.

When Zapier’s catalog matters: You use industry-specific SaaS tools (dental practice software, niche CRM systems, vertical-specific platforms). Zapier is most likely to have a pre-built connector.

When Make’s catalog is sufficient: You use mainstream business tools and occasionally need custom API calls. Make’s HTTP module handles edge cases well.

When n8n’s flexibility wins: You need to connect to internal APIs, self-hosted tools, or systems behind firewalls. n8n’s HTTP Request node and custom code nodes can connect to virtually anything — you just need to write the integration logic yourself.

For businesses that need to connect multiple systems with complex data transformations — such as syncing an ERP with an e-commerce platform while applying custom business rules — the integration approach matters more than the integration count. This is exactly the kind of scenario where API integration services become worth exploring.

AI and Automation: The 2026 Differentiator

All three platforms added AI features in 2025, but the depth varies significantly.

n8n leads in AI workflow capabilities with approximately 70 dedicated AI nodes, LangChain integration, and the ability to build full AI agent workflows. You can create RAG (Retrieval-Augmented Generation) pipelines, connect multiple LLMs, and build sophisticated AI-powered automations. The self-hosted model also means your AI processing data stays on your infrastructure.

Zapier democratized AI with its “AI by Zapier” actions that let anyone add GPT-powered steps to workflows. It’s the easiest way to add AI text generation, summarization, or classification to an existing Zap. However, the customization options are limited compared to n8n.

Make treats AI as functional building blocks — you can connect to OpenAI, Claude, and other APIs through dedicated modules. It’s more flexible than Zapier’s approach but less comprehensive than n8n’s AI-native toolkit.

If you’re building AI-powered business processes — like automated document analysis, intelligent customer routing, or AI-assisted content workflows — n8n’s capabilities are substantially ahead. For businesses exploring AI agents specifically, understanding AI agent development costs helps frame the build-vs-buy decision.

Security, Compliance, and Data Sovereignty

This comparison point is binary: n8n offers self-hosting; Zapier and Make don’t.

For businesses handling healthcare data (HIPAA), financial records, European customer data (GDPR), or any sensitive information, self-hosting means your automation data never touches a third-party server. This isn’t a nice-to-have — for regulated industries, it’s often a legal requirement.

Both Zapier and Make maintain SOC 2 compliance and encrypt data in transit and at rest. They’re secure platforms. But “secure” and “compliant with your specific regulatory requirements” aren’t the same thing. If your compliance team needs to audit exactly where data flows and is stored, self-hosted n8n is the only option among these three.

For companies where business process automation needs to meet strict regulatory standards, the self-hosting capability often outweighs all other considerations.

When You Outgrow All Three Platforms

There’s a ceiling that no off-the-shelf automation platform can break through. You hit it when:

• Your workflows require sub-second response times that cloud platforms can’t guarantee
• You need deep integration with proprietary systems that have no pre-built connectors
• Your automation logic is so complex that visual builders become unmanageable
• You’re processing millions of operations monthly and even n8n’s self-hosted costs add up in engineering time
• You need guaranteed uptime SLAs that no third-party platform offers

At that point, the conversation shifts from “which automation platform?” to “should we build custom automation infrastructure?” Custom-built workflow automation eliminates per-operation costs entirely, gives you complete control over performance and reliability, and can be designed specifically around your business processes — not adapted to fit a platform’s paradigm.

This is particularly common in e-commerce automation scenarios where businesses start with Zapier or Make for basic order syncing, then find themselves needing something purpose-built as order volumes grow.

If you’re evaluating whether custom automation development makes sense for your workload, mapping your existing processes is the essential first step. A structured business process mapping exercise reveals which workflows are genuinely complex enough to justify custom development and which are fine staying on a platform.

Decision Framework: Picking the Right Tool

Stop comparing feature lists. Instead, answer these five questions:

1. Who will build and maintain the automations? If it’s a non-technical team member, Zapier. If it’s someone comfortable with visual logic builders, Make. If it’s a developer, n8n.

2. How many operations will you run monthly? Under 5,000: any platform works, pick the easiest. 5,000-50,000: Make or n8n Cloud. Over 50,000: n8n self-hosted or custom development.

3. Do you have compliance requirements around data residency? If yes, n8n self-hosted. If no, all three are viable.

4. How complex are your workflows? Linear, 3-5 steps: Zapier. Branching with error handling, 5-15 steps: Make. Complex with code, AI, and 15+ steps: n8n.

5. What’s your total automation budget? Under $50/month: Make’s free or paid tier. $50-200/month: Make Pro or n8n Cloud. Over $200/month: n8n self-hosted or custom automation solutions.

The Hybrid Approach

You don’t have to pick just one. Many companies run Zapier for quick, simple integrations that business teams manage themselves, while using n8n or Make for complex, high-volume workflows that the engineering team owns. This “hybrid automation stack” approach gives you the best of both worlds: accessibility for simple tasks and power for complex ones.

Migration Considerations

Already locked into one platform? Switching isn’t trivial but it’s not catastrophic either.

• Zapier to Make: Most straightforward migration. Make has import tools and similar concepts. Expect 1-2 weeks for a team running 20-30 active workflows.
• Zapier to n8n: Moderate effort. The conceptual model is different enough that workflows need rebuilding, not porting. Plan for 2-4 weeks plus testing.
• Make to n8n: Similar effort to Zapier-to-n8n. Visual workflows translate to n8n’s canvas fairly well, but code nodes and error handling need rethinking.
• Any platform to custom: The biggest jump. Requires proper requirements gathering, architecture design, and development. But the long-term ROI is typically positive for businesses processing 50,000+ operations monthly.

Hidden Costs Nobody Talks About

The monthly subscription is just the starting point. Factor in these often-overlooked costs:

• Learning curve time: Zapier takes hours, Make takes days, n8n takes weeks. Multiply by your team’s hourly rate.
• Debugging time: When automations break (and they will), how quickly can your team diagnose and fix the issue? Visual platforms like Make are faster to debug than code-heavy n8n workflows.
• Server maintenance (n8n self-hosted): “Free” self-hosting still requires someone to handle updates, backups, monitoring, and security patches. Budget 2-4 hours per month.
• Scaling surprises: Zapier’s costs can jump dramatically when you cross tier thresholds. Make’s operation counting has edge cases that inflate usage. n8n Cloud’s execution counts can surprise teams with many short-running workflows.
• Vendor lock-in: The longer you use a platform, the more painful migration becomes. Every custom function, every complex workflow, every team member trained on the tool — it all creates switching costs.

According to Gitnux research, 67% of business leaders cite workflow automation as essential to their operations. That dependency makes platform choice a strategic decision, not just a tools comparison.

Frequently Asked Questions

Is n8n really free?

The self-hosted Community Edition is genuinely free with no task or workflow limits. You pay only for the server to run it — typically $5-20/month for a VPS. n8n Cloud (their hosted version) starts at $20/month for 2,500 executions. The trade-off is that self-hosting requires technical knowledge to set up, maintain, and keep secure.

Which platform is cheapest for high-volume automation?

n8n self-hosted, by a wide margin. At 100,000 operations monthly, you’d pay roughly $15-30 for server costs compared to $90-180 on Make or $1,200-1,500 on Zapier. The per-execution billing model means complex workflows with many steps don’t increase your costs.

Can a non-technical person use Make?

Yes, though with a steeper learning curve than Zapier. Most non-technical users become comfortable building basic Make scenarios within a few days. Complex features like error handling and data transformation take longer. Make’s visual canvas actually helps non-technical users understand workflow logic better than Zapier’s linear interface.

How many integrations does each platform support?

Zapier leads with 6,000+ pre-built integrations, Make offers 1,500+, and n8n has 1,000+ with the added advantage of custom code nodes that can connect to any API. For most businesses, all three platforms cover the core business tools. The gap matters mainly if you use niche or industry-specific software.

Should I use Zapier or Make for e-commerce automation?

Make is generally the better choice for e-commerce due to its pricing model and data transformation capabilities. E-commerce workflows tend to be multi-step (order received → inventory update → shipping label → customer notification → analytics), and Make’s operation bundling is more cost-efficient than Zapier’s per-task model for these scenarios.

Is it worth migrating from Zapier to n8n?

It depends on volume and complexity. If you’re spending over $200/month on Zapier and have engineering resources available, the migration typically pays for itself within 3-6 months. If you’re spending under $50/month and your team is non-technical, the migration cost and learning curve likely outweigh the savings.

Can I use multiple automation platforms at the same time?

Absolutely, and many companies do. A common pattern is Zapier for simple, business-team-managed integrations and n8n or Make for complex, engineering-managed workflows. This hybrid approach balances ease of use with cost efficiency and lets each team use the tool that fits their skill level.

When should I consider custom automation instead of these platforms?

When you’re processing over 50,000 operations monthly, need sub-second response times, have strict compliance requirements, or your workflow logic is too complex for visual builders. Custom workflow automation development eliminates per-operation costs and gives you full architectural control, but requires upfront investment in design and development.