Zapier vs Make vs n8n: The Great Automation Migration of 2024
Three months ago, I received a Zapier bill for £387.
For automations I'd built two years ago. Running quietly in the background. Processing maybe 15,000 tasks monthly.
The bill had tripled since I first set them up. Not because I was using more—because Zapier's pricing kept increasing.
I migrated everything to Make (formerly Integromat) in a weekend. Same automations. Better interface. £47/month instead of £387.
I'm not alone. In 2024, there's a quiet mass migration happening from Zapier to alternatives—primarily Make and n8n.
The automation platform market is shifting, and it reveals something important about where no-code tools are headed.
The Automation Platform Landscape in 2024
The big three:
| Platform | Type | Target User | Pricing | Open Source | |----------|------|-------------|---------|-------------| | Zapier | Cloud SaaS | Non-technical users | $20-$800+/mo | No | | Make | Cloud SaaS | Power users | $9-$299/mo | No | | n8n | Self-hosted / Cloud | Developers | Free (self-host) / $20+/mo | Yes |
Market share (estimated from public data & surveys):
- Zapier: ~60% market share
- Make: ~20%
- n8n: ~5%
- Others (Workato, Tray.io, Pipedream, etc.): ~15%
But momentum is shifting:
- Zapier growth: Slowing (estimates suggest 15-20% YoY)
- Make growth: Accelerating (50-70% YoY reported)
- n8n growth: Explosive (100%+ YoY, small base)
What's driving the shift?
Reason 1: Zapier's Pricing Became Unsustainable
Zapier pricing is based on "tasks" (each action in automation = 1 task).
Example automation:
- New row in Google Sheets (trigger)
- Look up customer in Airtable (action = 1 task)
- Send email via Gmail (action = 1 task)
- Update Slack channel (action = 1 task)
Per execution: 3 tasks
Run 5,000 times/month: 15,000 tasks
Zapier pricing:
- Free: 100 tasks/month (basically unusable)
- Starter: $20/month for 750 tasks
- Professional: $49/month for 2,000 tasks
- Team: $299/month for 50,000 tasks
- Company: $599/month for 100,000 tasks
For my 15,000 tasks/month, I needed Team tier: $299.
But I had multiple automations. Total tasks: ~80,000/month. Required Company tier: $599.
Then Zapier introduced "Premium apps" (Salesforce, Airtable, etc.). These cost extra or require higher tier.
My actual bill: $387/month (Company tier + premium app fees).
Make pricing for same volume:
- Free: 1,000 operations/month
- Core: $9/month for 10,000 operations
- Pro: $16/month for 10,000 operations
- Teams: $29/month for 10,000 operations
For 80,000 operations: ~$47/month on Teams tier.
8× cheaper for identical functionality.
Why Zapier Costs More
Zapier's perspective:
- "We're the enterprise-grade, reliable platform"
- "We have 5,000+ integrations"
- "We handle security, compliance, uptime"
User perspective:
- "I'm paying 8× more for the same automations"
- "Make has the integrations I need"
- "My workflows run fine on cheaper platform"
The truth: Zapier built a moat through integrations and ease of use. But once competitors matched integration breadth and improved UX, price became indefensible.
Reason 2: Visual Workflow Builders Are Just Better
Zapier's interface:
- Linear, step-by-step
- Each action follows previous one in sequence
- Branching requires separate "Paths" feature
- Hard to visualize complex workflows
Make's interface:
- Visual canvas with drag-and-drop nodes
- See entire workflow at a glance
- Built-in branching, loops, error handling
- Feels like flowchart software
Example scenario:
Automation that processes customer feedback:
- Trigger: New Typeform submission
- Check sentiment (positive/negative/neutral)
- If positive → send to marketing team in Slack
- If negative → create support ticket in Zendesk + email manager
- If neutral → add to monthly review spreadsheet
In Zapier: This requires "Filter" steps and "Paths" feature. Becomes confusing with 8+ steps.
In Make: Drag three branches from sentiment check. Visual, obvious, maintainable.
Power users prefer Make's interface overwhelmingly.
Reason 3: n8n Offers Self-Hosted Control
n8n's differentiator: Open source + self-hosted option.
Why this matters:
Control
With Zapier or Make, your automations run on their servers. If they're down, your workflows stop.
With n8n self-hosted:
- Runs on your infrastructure
- You control uptime
- No third-party dependency
Data Privacy
Zapier processes all your data through their servers.
For sensitive data (customer PII, health records, financial transactions), this creates compliance issues.
n8n self-hosted:
- Data never leaves your infrastructure
- You control data residency (important for GDPR, HIPAA)
- No third-party data processing agreements needed
Cost at Scale
Zapier/Make pricing scales with usage. At high volume, this gets expensive fast.
n8n self-hosted:
- Unlimited workflows
- Unlimited executions
- Only cost is infrastructure (often ~$10-50/month for small VPS)
Example:
A SaaS company running 1M+ tasks/month:
- Zapier: $1,000-2,000/month
- Make: $400-800/month
- n8n (self-hosted): $50/month infrastructure
40× cost difference at scale.
Reason 4: Developer-Friendly Features
Zapier was built for non-developers. This is a strength for simple automations, a weakness for complex ones.
Make and n8n cater to power users:
Custom Code
Zapier: Very limited JavaScript support. Code steps are clunky.
Make: Built-in functions for transformations. Still limited custom code.
n8n: Full JavaScript support in every node. Can write complex logic inline.
API Integration
Zapier: Pre-built integrations only. Custom API connections require "Webhooks" which are awkward.
Make: "HTTP" module for custom API calls. Well-designed.
n8n: HTTP Request node is first-class citizen. Also supports custom nodes (write your own integrations).
Version Control
Zapier: No version control. If you break a Zap, you manually restore from memory.
Make: Scenario history (can restore previous versions).
n8n: Workflows are JSON. Can commit to Git. Proper version control.
Error Handling
Zapier: Errors send email. Manual retry.
Make: Built-in error handlers. Automatic retries. Fallback paths.
n8n: Same as Make, plus custom error handling logic.
For developers, Make and n8n are obviously superior.
The Migration: What I Learned
I migrated 23 Zapier automations to Make over one weekend. Here's what worked and what didn't:
What Migrated Easily
Simple automations: Trigger → Action → Action
Example: "New Airtable record → Send Slack message"
Time to migrate: 5-10 minutes each
Success rate: 100%
What Required Rework
Complex multi-step workflows: 8+ steps with branching logic
Example: "New customer signup → lookup in database → check tier → send different onboarding email based on tier → update CRM → notify sales if Enterprise tier"
Time to migrate: 30-60 minutes
Success rate: 90% (some required logic changes because Make handles things differently)
What Broke
Zapier-specific features:
- Formatter steps (date/time manipulation, text transformations) - Make has equivalents, but syntax differs
- Storage (Zapier's built-in key-value storage) - Make doesn't have this; I used Airtable instead
- Certain niche integrations (Zapier had a few Make didn't; I used HTTP requests instead)
Overall: ~10% of automations required significant rework.
Total Time Investment
- Planning: 2 hours (mapping which automations to migrate first)
- Migration: 12 hours (spread across weekend)
- Testing: 3 hours
- Total: ~17 hours
ROI:
- Savings: $340/month ($387 Zapier - $47 Make)
- Break-even: 0.05 months (2 days)
- Annual savings: $4,080
Worth it? Absolutely.
When to Use Which Platform
Use Zapier If:
- You're non-technical and need simplest possible interface
- You need very specific niche integration that only Zapier has
- Company policy requires SOC 2 and you can't evaluate alternatives
- Price isn't a concern (enterprise budget covers it)
Use Make If:
- You need visual workflow builder for complex automations
- Price matters (most people)
- You want better error handling and debugging
- You need conditional logic, loops, or branching
Use n8n If:
- You're a developer comfortable with self-hosting
- Data privacy is critical (must keep data on your infrastructure)
- You need custom integrations via code
- You're running high volume (100k+ tasks/month)
- You want version control for workflows
What This Means for the Automation Market
Trend 1: Unbundling Zapier
Zapier tried to be everything to everyone:
- Simple for beginners
- Powerful for advanced users
- Handles all integration needs
This is unsustainable.
Beginners find it too expensive. Advanced users find it too limiting.
The market is splitting:
- Simple: Tools like IFTTT (very basic, cheap)
- Power users: Make, n8n
- Enterprise: Workato, Tray.io (expensive but full-featured)
Zapier is stuck in the middle.
Trend 2: Open Source Wins at Scale
At small scale, SaaS pricing is fine. $20-50/month is acceptable.
At scale (100k+ tasks/month), SaaS pricing becomes untenable. Companies either:
- Negotiate custom enterprise deals (complex, slow)
- Migrate to open source self-hosted (n8n, Temporal, Prefect)
n8n's growth shows this is accelerating.
Trend 3: Developer Tools Eating "No-Code"
"No-code" was supposed to democratize automation for non-developers.
What actually happened:
- Non-developers use simple automations (IFTTT level)
- Power users (often developers) build complex workflows and want code flexibility
The valuable automation work is developer-adjacent.
Make and n8n acknowledge this. Zapier resists it.
Predictions for 2025
Prediction 1: Zapier Reprices or Loses Market Share
Current pricing is unsustainable vs competition.
Options:
- Reduce prices (hurts margins, but retains users)
- Accept market share loss (maintain margins, lose users)
- Compete on enterprise features (move upmarket, abandon SMB)
My bet: Zapier moves upmarket. Focuses on enterprise with compliance, security, support. Loses SMB users to Make/n8n.
Prediction 2: Make Reaches 30% Market Share
Make is growing fast. Interface is better. Pricing is better. Integration parity is close enough.
Barriers to Make dominance:
- Zapier's brand recognition
- Switching cost (takes time to migrate)
But neither barrier is insurmountable.
Prediction 3: n8n Gets Acquired
n8n is small (est. <50 employees) but strategically valuable:
- Open source credibility
- Developer mindshare
- Self-hosted option (important for enterprises)
Potential acquirers:
- Atlassian (fits with Jira, Confluence automation needs)
- GitLab (developer-focused, self-hosted option aligns)
- Amazon (AWS could offer "n8n on AWS" as managed service)
Prediction 4: AI Agents Disrupt Workflow Automation
Current automation: "When X happens, do Y" (deterministic rules).
AI agents: "Achieve goal Z" (AI figures out steps).
Example:
Current automation:
"When new lead enters CRM → Send welcome email → Wait 3 days → Send follow-up → If no response, notify sales."
AI agent version:
"Nurture new leads until they're ready for sales conversation." (Agent decides when/how to follow up based on lead behavior.)
This is nascent but coming.
If AI agents can replace workflow automation, platforms like Zapier/Make/n8n face existential threat.
TL;DR: The automation platform shift
What's happening:
- Mass migration from Zapier to Make and n8n (2024)
- Driven by pricing (Zapier 3-8× more expensive)
- Also driven by better UX (visual workflows) and developer features
Platform comparison:
| | Zapier | Make | n8n | |-|--------|------|-----| | Price | $20-800+/mo | $9-299/mo | Free-$20+/mo | | Interface | Linear steps | Visual canvas | Visual canvas | | Target user | Non-technical | Power users | Developers | | Custom code | Limited | Some | Full JS support | | Self-hosted | No | No | Yes |
When to use which:
- Zapier: Non-technical + need simplicity + price doesn't matter
- Make: Visual workflows + price sensitive + complex logic
- n8n: Developer + self-host + data privacy + high volume
What I did:
- Migrated 23 automations from Zapier to Make
- Time: 17 hours
- Savings: $340/month ($4,080/year)
- Payback: 2 days
Market trends:
- Zapier losing SMB market share
- Make growing 50-70% YoY
- n8n growing 100%+ YoY
- Open source wins at scale
What's next:
- Zapier moves upmarket (enterprise focus)
- Make captures 30% market share
- AI agents eventually disrupt entire category
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