Zapier vs Make (Integromat) 2025: Which Automation Platform Wins?
A hands-on comparison of Zapier and Make for workflow automation. Pricing, features, complexity, and real examples from automating 50+ workflows on both platforms.

Zapier vs Make (Integromat) 2025: Which Automation Platform Wins?
I’ve been automating my workflows for 4 years — first with Zapier, then with Make (formerly Integromat), and now with both. Between the two platforms, I’ve built over 50 active automations that save me roughly 12 hours per week. Everything from auto-filing emails to generating reports to syncing 6 different tools happens without me lifting a finger.
But choosing between Zapier and Make isn’t straightforward. They serve different types of users, different complexities, and have vastly different pricing models. After building the same automations on both platforms, I can tell you exactly where each one wins and which one is right for YOUR situation.
Quick Answer
Choose Zapier if: You want simple, fast automations with minimal setup. “When X happens, do Y.” You value your time over your money, and you prefer a polished, beginner-friendly interface.
Choose Make if: You need complex multi-step workflows, you’re comfortable with a slight learning curve, and you want more power for less money. Make handles branching logic, loops, and data transformation that would be awkward or impossible in Zapier.
Key Differences at a Glance
| Aspect | Zapier | Make |
|---|---|---|
| Ease of use | ⭐⭐⭐⭐⭐ (Easiest) | ⭐⭐⭐ (Learning curve) |
| Complex workflows | Limited | ⭐⭐⭐⭐⭐ (Excellent) |
| Pricing (entry) | $19.99/month (750 tasks) | $9/month (10,000 ops) |
| Pricing (scale) | Expensive at volume | Affordable at volume |
| Integrations | 6,000+ | 1,600+ |
| Visual builder | Linear (step-by-step) | Visual flowchart |
| Error handling | Basic | ⭐⭐⭐⭐⭐ (Detailed) |
| Data transformation | Limited | ⭐⭐⭐⭐ (Powerful) |
| AI features | ✅ AI builder (new 2025) | ✅ AI assistant |
| Speed | Fast | Very fast |
| API/Webhooks | Good | Excellent |
Pricing Deep Dive (This Is Where It Gets Interesting)
Zapier Pricing 2025
| Plan | Price/Month | Tasks/Month | Multi-step Zaps |
|---|---|---|---|
| Free | $0 | 100 tasks | Single-step only |
| Starter | $19.99 | 750 tasks | Multi-step |
| Professional | $49 | 2,000 tasks | + Paths, filters |
| Team | $69/user | 2,000 shared | + Shared workspaces |
| Enterprise | Custom | Unlimited | + SSO, admin |
Make Pricing 2025
| Plan | Price/Month | Operations/Month | Scenario Complexity |
|---|---|---|---|
| Free | $0 | 1,000 ops | 2 scenarios |
| Core | $9 | 10,000 ops | Unlimited |
| Pro | $16 | 10,000 ops | + Priority execution |
| Teams | $29/user | 10,000 ops | + Team features |
| Enterprise | Custom | Custom | + SSO, audit logs |
The Real Cost Comparison
Here’s what most comparison articles miss: Zapier counts each action as a “task,” while Make counts each operation differently.
Example automation: New email → Extract data → Create Todoist task → Post to Slack
- In Zapier: This is 1 “Zap” with 4 steps = 4 tasks per run
- In Make: This is 1 “scenario” with 4 modules = 4 operations per run
If this runs 50 times/month:
- Zapier: 200 tasks used (of 750 on Starter = 27% of monthly quota)
- Make: 200 operations used (of 10,000 on Core = 2% of monthly quota)
At scale, Make is dramatically cheaper. My 50 automations use roughly 8,000 operations per month on Make ($9/month). The same workload on Zapier would cost $49-99/month.
Pro Tip: Count your actual task volume before choosing. If you run fewer than 500 simple automations per month, Zapier’s ease of use justifies the premium. Above 2,000 tasks/month, Make’s pricing advantage becomes significant — potentially saving you $40-100/month.
My 10 Most Useful Automations (Built on Both Platforms)
1. Email to Task (Zapier — simple)
Trigger: Email starred in Gmail Action: Create task in Todoist with email subject + link Time saved: 2 minutes per email, ~30 minutes/week
2. Meeting Notes Processing (Make — complex)
Trigger: Otter.ai meeting ends Action: Extract action items → Create Todoist tasks → Post summary to Slack → Update Notion project page Time saved: 15 minutes per meeting, ~2 hours/week
3. Content Publishing Pipeline (Make — complex)
Trigger: Notion status changes to “Ready to Publish” Actions: Extract content → Format for WordPress → Schedule post → Create social media drafts → Update content calendar Time saved: 45 minutes per post, ~3 hours/week
4. Invoice Processing (Make — complex)
Trigger: Email received with PDF attachment matching “invoice” pattern Actions: Extract PDF → Parse amount + vendor with AI → Add to expenses spreadsheet → Notify me if over $500 Time saved: 5 minutes per invoice, ~1 hour/week
5. New Subscriber Welcome (Zapier — simple)
Trigger: New email subscriber Actions: Add to CRM → Send welcome sequence tag → Log in analytics sheet Time saved: 3 minutes per subscriber
6. Social Listening + Response (Make — complex)
Trigger: Brand mention on Twitter (via webhook) Actions: Analyze sentiment → If positive: like + queue thank you reply. If negative: alert me immediately in Slack Time saved: 20 minutes/day monitoring
7. Weekly Report Generation (Make — complex)
Trigger: Every Friday at 4 PM Actions: Pull data from 4 sources → Calculate metrics → Generate report in Google Docs → Email to stakeholders Time saved: 2 hours/week
8. File Organization (Zapier — simple)
Trigger: File uploaded to Google Drive “Inbox” folder Actions: Rename based on date + content → Move to appropriate subfolder Time saved: 30 seconds per file, ~15 minutes/week
9. Client Onboarding (Make — complex)
Trigger: New client form submitted Actions: Create Notion project → Create Todoist project with template tasks → Send welcome email → Schedule kickoff meeting → Add to CRM Time saved: 30 minutes per new client
10. Daily Briefing (Make — complex)
Trigger: Every day at 7 AM Actions: Check weather → Pull calendar events → Count inbox emails → Summarize in a formatted message → Send to Slack Time saved: 10 minutes/day
Building the Same Automation on Both Platforms
Let me walk through building Automation #1 (Email to Task) on both:
On Zapier (3 minutes to build):
- Click “Create Zap”
- Trigger: Gmail → “New Starred Email”
- Action: Todoist → “Create Task”
- Map fields: Subject → Task name, Body snippet → Description
- Test and turn on
Zapier’s linear builder makes simple automations trivially easy. No confusion, no complexity.
On Make (5 minutes to build):
- Create new Scenario
- Add Gmail module → Configure “Watch Emails” with star filter
- Add Todoist module → Configure “Create Task”
- Map fields using Make’s mapping interface
- Set schedule (check every 15 min)
- Activate
Make requires slightly more configuration but gives you more control over timing, error handling, and data transformation.
Verdict for simple automations: Zapier wins on speed and ease. The 2-minute difference is negligible per automation but adds up when you’re building 20+ simple ones.
Verdict for complex automations: Make wins overwhelmingly. Branching paths, loops, data transformation, and error handling are visual and intuitive on Make. On Zapier, complex logic requires nested “Paths” that get confusing fast.
Where Each Platform Clearly Wins
Zapier Wins For:
- Beginners who want automation without learning a tool
- Simple workflows (2-3 steps, no branching)
- Maximum integration count (6,000+ vs 1,600+)
- Speed to first automation (under 5 minutes)
- AI-built automations (describe in English, Zapier builds it)
- Teams with non-technical members (anyone can build Zaps)
Make Wins For:
- Complex workflows with branching, loops, and conditionals
- Data transformation (parsing, formatting, calculating)
- Cost efficiency at scale (10,000 ops for $9 vs 750 tasks for $20)
- Error handling (retry, custom error routes, detailed logs)
- API/webhook integrations (more flexible HTTP module)
- Visual workflow design (flowchart view is superior for complex scenarios)
- Data storage (built-in data store for tracking state between runs)
Zapier AI vs Make AI: How They Compare
Both platforms have leaned heavily into AI in 2025:
Zapier AI
- AI Zap builder: Describe your automation in plain English → Zapier creates it
- AI by Zapier module: Add GPT-powered steps to any Zap (summarize, classify, extract)
- Natural language filters: “Only trigger when the email sounds urgent”
- My experience: Works great for simple flows. Struggles with complex multi-branch scenarios.
Make AI Assistant
- AI module configuration: Suggests how to configure complex modules
- Error diagnosis: AI explains why a scenario failed and suggests fixes
- Template recommendations: Suggests scenario templates based on your goals
- My experience: Less “magical” than Zapier’s builder, but more useful for debugging.
Pro Tip: You don’t have to choose just one. I use Zapier for quick, simple automations (email triggers, form submissions) and Make for anything with branching logic or data transformation. The $9/month for Make Core + Zapier Free gives you both platforms for less than Zapier Starter alone.
Reliability and Uptime
This matters more than most people realize. When an automation handles critical workflows:
| Metric | Zapier | Make |
|---|---|---|
| Uptime (2024) | 99.9% | 99.8% |
| Average execution time | 3-5 seconds | 2-4 seconds |
| Error notifications | Email + in-app | |
| Auto-retry on failure | ✅ Yes | ✅ Yes (configurable) |
| Execution logs | 7-day history | 30-day history |
| Real-time monitoring | Basic | ✅ Detailed |
Make’s execution logs and detailed error information are significantly better for troubleshooting. When something breaks at 2 AM, I can diagnose Make failures in minutes. Zapier failures sometimes require trial-and-error to debug.
Common Mistakes to Avoid
1. Over-Automating
Not everything should be automated. If a task takes 30 seconds and happens twice a week, building a 30-minute automation for it is negative ROI. My rule: automate tasks that are (1) repetitive, (2) happen 5+ times per week, AND (3) don’t require human judgment.
2. Not Handling Errors
Both platforms will fail occasionally (API rate limits, changed schemas, server errors). Set up error notifications. In Make, use error handler routes. In Zapier, enable error emails. I check my automation health weekly.
3. Building Complex Workflows on Zapier
If your workflow needs more than 5 steps or any branching logic, build it on Make. Zapier CAN handle complexity, but it gets expensive and confusing. Use the right tool for the right complexity level.
4. Ignoring Rate Limits
Many APIs have rate limits (e.g., Gmail: 250 emails/day). If your automation triggers frequently, you might hit limits. Build in delays (Make has this natively; Zapier requires Delay steps).
5. Not Documenting Your Automations
After building 50+ automations, I couldn’t remember what half of them did. Now I name each one clearly and add notes: “Created by Michael, Jan 2025. Handles: invoice processing from Gmail to Sheets. Depends on: Gmail label ‘Invoices’, Google Sheet ‘Expenses 2025’.“
6. Starting Too Complex
Build the simplest version first, test it for a week, then add complexity. My content publishing pipeline started as “Notion → WordPress” (2 steps) and grew to 7 steps over 3 months as I identified what else could be automated.
The AI Revolution in Automation (2025)
Both platforms now offer AI-powered automation building:
Zapier AI: Describe your automation in plain English (“When I get an email with an invoice, add it to my expenses spreadsheet”) and Zapier builds the Zap. It works well for simple flows but struggles with complex logic.
Make AI Assistant: Helps you configure modules, suggests next steps, and can debug errors. Less “build from English” and more “intelligent copilot.”
My take: AI makes BOTH platforms easier for beginners but doesn’t eliminate the need to understand what you’re automating. I still review every AI-generated automation before activating it.
Integration with Other Productivity Tools
Both platforms connect to the tools in my productivity stack:
- Todoist for task creation
- Notion for databases and wikis
- Google Calendar for scheduling
- Slack for notifications
- AI tools for data processing
For a full list of automations that save time daily, see my guide on 10 automations that save 5 hours/week.
My Automation Stack (Current Setup)
| Platform | # of Automations | Monthly Cost | Monthly Operations |
|---|---|---|---|
| Make (Core) | 38 active scenarios | $9 | ~7,500 operations |
| Zapier (Free) | 12 simple Zaps | $0 | ~400 tasks |
| Apple Shortcuts | 8 device automations | $0 | Unlimited (local) |
| Total | 58 automations | $9/month | Saves ~12 hours/week |
At $9/month for 12 hours saved per week, that’s about $0.17/hour — the best productivity investment I make.
Getting Started: Your First 5 Automations
If you’re new to automation, start with these (all doable on the free tier of either platform):
- Starred email → Task (2 min setup)
- New calendar event → Slack reminder (2 min setup)
- Form submission → Spreadsheet row (3 min setup)
- RSS feed → Email digest (3 min setup)
- File upload → Rename + organize (5 min setup)
Build one per day for a week. By Friday, you’ll have 5 working automations saving you 30+ minutes per week, and you’ll understand the basics for building more complex ones.
FAQ
Can I use both Zapier and Make together?
Yes, and this is what I recommend. Zapier Free (100 tasks/month) handles your simple 2-step automations perfectly. Make Core ($9/month, 10,000 operations) handles your complex multi-step workflows. Total cost: $9/month with enormous capability. They can even trigger each other via webhooks for ultra-complex scenarios.
Is automation difficult to learn?
If you can use a spreadsheet formula, you can build automations. Simple ones (trigger → action) take 5 minutes to learn. Complex ones (branching, data transformation) take 2-3 hours to understand conceptually. I went from zero to confidently building complex automations in about 2 weeks of evening experimentation. Make has a steeper initial learning curve but more YouTube tutorials available than ever.
What’s the ROI of automation tools?
My specific numbers: $9/month investment saves 12 hours/week. At even a modest $25/hour value of time, that’s $300/week in saved time from a $9/month tool. Even with the initial time investment of building automations (roughly 20 hours over my first month), I broke even within 2 weeks. The ROI is extraordinary for anyone doing repetitive digital tasks.
Are there security concerns with giving automation tools access to my accounts?
Both Zapier and Make are SOC 2 Type 2 certified and handle data securely. They use OAuth connections (you authorize access without sharing passwords) and you can revoke access anytime. That said, be thoughtful about what you connect — I don’t automate anything involving sensitive financial data or client passwords. For enterprise needs, both offer data encryption and compliance features on higher plans.
What’s the biggest mistake people make with automation?
Trying to automate complex human-judgment tasks. Automation works best for predictable, repetitive, rules-based work. “Move all emails from this sender to this folder” = perfect for automation. “Read this email and decide if it needs a thoughtful personal reply” = not suitable for automation (yet). Start with the boring, repetitive stuff and you’ll see immediate returns.
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