Zapier vs Make vs n8n vs Lindy: AI Automation Platform Comparison 2026

Automation platforms have a pricing problem. Not because they are expensive at the start — most have generous free tiers — but because costs scale in ways that are hard to predict and even harder to control.

A startup that connects Slack notifications to a CRM, syncs form responses to a spreadsheet, and triggers email sequences from webhook events can easily hit 50,000 operations per month. On Zapier, that costs over $300/month. On Make.com, you might stay under $20. On a self-hosted n8n instance, you pay $5/month for the server and nothing else.

The difference is not quality. All four platforms covered in this article — Zapier, Make.com, n8n, and Lindy — can handle the same core use cases. The difference is how they charge for it. And in 2026, that pricing gap has become wide enough that choosing the wrong platform can cost a growing team thousands of dollars per year.

This article breaks down every major automation platform by pricing, features, AI capabilities, and self-hosting options. If you are building automations for a team or a product, this is the cost analysis you need before committing to a platform.

Why Automation Costs Spiral Out of Control

The automation market has a structural problem: the unit of billing does not match the unit of value.

Zapier charges per "task." Every time a Zap successfully performs an action — sending an email, creating a row, updating a record — that counts as one task. A five-step Zap that runs once uses five tasks. Run it 100 times a day and you have burned through 500 tasks before lunch.

Make.com charges per "operation," which is similar but slightly more granular. Every module execution in a scenario counts as one operation. A scenario with 8 modules that runs 1,000 times uses 8,000 operations.

n8n charges per "execution" on its cloud plans — one execution per workflow run, regardless of how many nodes the workflow contains. This is fundamentally different and dramatically cheaper at scale.

Here is what this looks like in practice:

Scenario: Process 1,000 form submissions per day, each requiring 5 steps (validate, enrich, store, notify, log)

The same automation. The same result. A 60x cost difference between the most and least expensive option.

This is why automation costs spiral. Teams start on a free tier, build critical workflows, and then get locked into pricing that grows linearly with usage while the value they extract does not.

Platform Overview

Zapier: The Market Leader

Zapier is the most widely known automation platform with the largest app integration library — over 7,000 apps as of 2026. It pioneered the "trigger + action" model and remains the default choice for non-technical users.

Strengths:

• Largest integration library (7,000+ apps)
• Excellent documentation and community
• AI-powered Zap builder that generates workflows from natural language
• Multi-step Zaps with conditional logic (paths)
• Tables feature for built-in data storage

Weaknesses:

• Most expensive per-task pricing at scale
• Per-task billing makes costs unpredictable
• No self-hosting option
• Limited custom code execution (JavaScript/Python with constraints)

Make.com: The Cost-Effective Visual Builder

Make.com (formerly Integromat) offers a visual, flowchart-style workflow builder that appeals to both technical and non-technical users. Its operation-based pricing is significantly cheaper than Zapier for high-volume workflows, and the credit-based system introduced in late 2025 adds more flexibility.

Strengths:

• Visual flowchart editor with branching and loops
• Credit-based pricing that is 5-13x cheaper than Zapier at scale
• 2,000+ app integrations
• Built-in HTTP/webhook modules for custom API calls
• Data stores and data structures for stateful workflows

Weaknesses:

• Steeper learning curve than Zapier
• No self-hosting option
• Credit system can be confusing for new users
• Some advanced features locked behind higher tiers

n8n: The Open-Source Powerhouse

n8n is an open-source workflow automation platform that offers both cloud hosting and self-hosting. For developers, it is the most flexible option — full code access, custom nodes, and unlimited executions when self-hosted.

Strengths:

• Open-source with Apache 2.0 license (community edition)
• Self-hosted option with unlimited executions
• Full JavaScript/Python code execution within nodes
• 400+ integrations with easy custom node creation
• Execution-based pricing (cloud) — one run = one execution regardless of node count
• Active community and rapid development

Weaknesses:

• Smaller integration library than Zapier or Make
• Self-hosting requires server management knowledge
• Cloud pricing can get expensive at enterprise scale (€800/mo for Business)
• UI less polished than Make.com's visual builder

Lindy: The AI-Native Newcomer

Lindy takes a different approach. Instead of building trigger-action workflows, you create "Lindies" — AI agents that handle tasks using natural language instructions. It is less of a traditional automation platform and more of an AI agent builder.

Strengths:

• AI-native: agents understand context and can make decisions
• Natural language workflow creation
• Good for unstructured tasks (email triage, meeting scheduling, research)
• Unlimited AI agents on all paid plans

Weaknesses:

• Credit-based pricing that depletes quickly with AI-heavy tasks
• Smaller integration ecosystem
• Less predictable costs (credits vary by task complexity)
• Not ideal for simple, deterministic automations where Zapier/Make excel

Pricing Comparison: Every Plan, Side by Side

Zapier Pricing (2026)

Additional tasks cost $0.01-0.03 each depending on your plan, which adds up fast at high volume.

Make.com Pricing (2026)

Make revised its pricing in November 2025 to a credit-based system. The Pro plan now includes up to 8 million credits per month — a significant increase that makes it extremely competitive for high-volume users.

n8n Pricing (2026)

The critical difference: n8n counts executions, not individual steps. A 20-node workflow that runs once is one execution. This makes n8n dramatically cheaper for complex, multi-step automations.

Lindy Pricing (2026)

Additional credits: $10 per 1,000 credits. Phone capabilities: $0.19/minute.

Feature Comparison: What Actually Matters

Triggers and Actions

AI Capabilities

Custom Code Support

For developers who need to run custom code, database queries, or shell commands as part of their automations, n8n is in a different league. The self-hosted version gives you full system access — you can install npm packages, connect to local databases, execute shell scripts, and build custom nodes that do anything your server can do.

Self-Hosted n8n: The $5/Month Unlimited Alternative

This is where the economics completely change. If you are a developer comfortable with basic server administration, self-hosted n8n gives you unlimited workflow executions for the cost of a small VPS.

What You Need

• A VPS with at least 1 CPU core and 2GB RAM (though 1GB works for light usage)
• Docker installed
• A domain name (optional but recommended for webhook URLs)
• Basic familiarity with Docker Compose

Real Infrastructure Costs

If you read our guide on how to self-host your entire dev stack for under $20/month, n8n is one of the tools that fits perfectly into that stack. A Hetzner CAX11 running Coolify can host n8n alongside a dozen other services with room to spare.

Deploying n8n with Docker Compose

The simplest deployment uses Docker Compose with SQLite:

version: "3.8"
services:
  n8n:
    image: n8nio/n8n
    restart: always
    ports:
      - "5678:5678"
    environment:
      - N8N_HOST=n8n.yourdomain.com
      - N8N_PORT=5678
      - N8N_PROTOCOL=https
      - WEBHOOK_URL=https://n8n.yourdomain.com/
      - N8N_BASIC_AUTH_ACTIVE=true
      - N8N_BASIC_AUTH_USER=admin
      - N8N_BASIC_AUTH_PASSWORD=your-secure-password
    volumes:
      - n8n_data:/home/node/.n8n

volumes:
  n8n_data:

For production use with PostgreSQL (recommended for reliability):

version: "3.8"
services:
  n8n:
    image: n8nio/n8n
    restart: always
    ports:
      - "5678:5678"
    environment:
      - DB_TYPE=postgresdb
      - DB_POSTGRESDB_HOST=postgres
      - DB_POSTGRESDB_PORT=5432
      - DB_POSTGRESDB_DATABASE=n8n
      - DB_POSTGRESDB_USER=n8n
      - DB_POSTGRESDB_PASSWORD=your-db-password
      - N8N_HOST=n8n.yourdomain.com
      - N8N_PROTOCOL=https
      - WEBHOOK_URL=https://n8n.yourdomain.com/
    volumes:
      - n8n_data:/home/node/.n8n
    depends_on:
      - postgres

  postgres:
    image: postgres:16
    restart: always
    environment:
      - POSTGRES_USER=n8n
      - POSTGRES_PASSWORD=your-db-password
      - POSTGRES_DB=n8n
    volumes:
      - postgres_data:/var/lib/postgresql/data

volumes:
  n8n_data:
  postgres_data:

If you are using a self-hosted PaaS like Coolify or Dokploy — both of which we have compared in detail — deployment is even simpler. Coolify has a one-click n8n template that handles SSL, reverse proxy, and automatic backups.

What You Get vs. Cloud

The annual savings of self-hosting: roughly €660/year compared to n8n Cloud Pro. And unlike the cloud version, there are no execution limits — your workflows can run as often as needed.

Migration Guide: Switching from Zapier to Self-Hosted n8n

If you are currently on Zapier and want to reduce costs, migrating to n8n is straightforward but requires planning. Here is the practical process.

Step 1: Audit Your Current Zapier Usage

Before migrating, document every active Zap:

• What it does (trigger → actions)
• How often it runs (daily/hourly/on-event)
• Which apps it connects
• Whether it uses Zapier-specific features (Paths, Formatter, Storage)

Step 2: Check n8n Integration Availability

n8n has 400+ built-in integrations, but Zapier has 7,000+. For common apps — Slack, Google Sheets, HubSpot, Stripe, Notion, GitHub — n8n has native nodes. For less common apps, you have options:

• HTTP Request node: Call any REST API directly
• Webhook node: Receive data from any app that supports webhooks
• Custom nodes: Build your own integration in JavaScript

In practice, the HTTP Request node covers most gaps. If an app has an API (and most do), you can connect to it.

Step 3: Rebuild Workflows in n8n

Do not try to recreate Zaps one-to-one. n8n's node-based system is more flexible, and many Zapier workarounds (multiple Zaps chained together, formatter steps) become unnecessary.

Common Zapier → n8n translations:

Step 4: Test and Migrate Incrementally

1. Set up your self-hosted n8n instance
2. Rebuild your most critical workflow first
3. Run both the Zapier Zap and n8n workflow in parallel for a week
4. Compare outputs to verify correctness
5. Disable the Zapier Zap once confirmed
6. Repeat for each workflow

Step 5: Cancel Zapier

Once all workflows are migrated and verified, downgrade to Zapier Free (keep it as a backup for 30 days) and then cancel.

Our Experience at Effloow: Why We Chose Self-Hosted n8n

At Effloow, automation is not optional — it is the backbone of how our AI agent company operates. With 14 AI agents coordinating through Paperclip, we need automations that run frequently, handle complex data transformations, and connect to APIs that do not have pre-built integrations.

We evaluated all four platforms. Here is why we landed on self-hosted n8n:

Cost Was the Deciding Factor

Our automation volume would have cost over $200/month on Zapier. On n8n self-hosted, it costs us nothing beyond the server we were already paying for. We run n8n on the same Hetzner instance that hosts the rest of our self-hosted dev stack — it adds minimal overhead.

Developer-First Flexibility

We needed to:

• Run custom JavaScript transformations on incoming data
• Connect to internal APIs with custom authentication
• Execute database queries as part of workflow logic
• Trigger workflows from our Paperclip agent orchestration system via webhooks

Only n8n (self-hosted) gave us all of this without workarounds. Zapier's code steps are sandboxed. Make.com's JavaScript module has limitations. Lindy is AI-focused and not designed for deterministic data pipelines.

Full Control Over Data

With self-hosted n8n, all workflow data stays on our server. No third-party platform sees our API keys, webhook payloads, or processed data. For a company that runs autonomous AI agents, this level of control is not a luxury — it is a requirement.

What We Would Use the Others For

This is not to say Zapier, Make, or Lindy have no place:

• Zapier is still the best choice if you need to connect niche apps quickly and are not a developer. Its 7,000+ integrations are unmatched.
• Make.com is the best middle ground — visual builder, competitive pricing, and enough power for most teams. If self-hosting is not an option, Make.com is what we would recommend.
• Lindy is genuinely interesting for AI-driven tasks where the automation needs to understand context — email triage, meeting scheduling, research summarization. It is not a Zapier replacement; it is a different category.

Which Platform Should You Choose?

Choose Zapier If:

• You are non-technical and need the simplest setup
• You need integrations with niche or industry-specific apps
• Your automation volume is low (under 750 tasks/month)
• You value the largest community and documentation ecosystem

Choose Make.com If:

• You want visual workflow building with competitive pricing
• Your automation volume is moderate to high
• You need advanced logic (routers, iterators, aggregators)
• Self-hosting is not an option but cost efficiency matters
• Affiliate note: Make.com offers a solid Pro plan starting at $18.82/month — check their current pricing for the latest details.

Choose n8n Cloud If:

• You want n8n's flexibility without managing infrastructure
• Your execution volume fits within 2,500-10,000/month
• You prefer managed hosting with automatic updates
• Note: n8n Cloud starts at €24/month — view their plans for current options.

Choose Self-Hosted n8n If:

• You are a developer comfortable with Docker and basic server management
• You need unlimited executions at minimal cost
• You require custom code execution, npm packages, or database access
• Data sovereignty matters to your organization
• You already have a VPS — deploy n8n on a Hetzner or Contabo instance for under $5/month.

Choose Lindy If:

• Your automations require AI decision-making (not just if/then logic)
• You need AI agents for tasks like email triage, research, or scheduling
• You are comfortable with credit-based pricing
• You want to experiment with the AI-agent approach to automation

The Bottom Line: Pricing Summary

For a team running 50,000 automation steps per month:

The automation platform you choose is not a one-time decision. As your usage grows, the wrong choice compounds. A $200/month difference in automation costs is $2,400/year — enough to pay for an entire self-hosted infrastructure stack.

If you are a developer, self-hosted n8n is the clear winner on cost. If you are not, Make.com offers the best balance of power and price. Zapier remains the safest choice for non-technical teams that value simplicity over savings. And Lindy occupies its own niche for AI-native workflows that traditional platforms cannot handle.

Start with what matches your skill level. Migrate when the costs justify it. And whatever you do, audit your automation spending quarterly — it is one of the fastest-growing line items in any team's tooling budget.

Pricing data in this article was verified as of April 2026. Platform pricing changes frequently — always check the official pricing pages for the most current information before making purchasing decisions.