Zapier vs Make (Integromat): Complete Integration Platform Comparison
An in-depth comparison of Zapier and Make (formerly Integromat), covering features, pricing, use cases, and helping you choose the right automation platform for your needs.
Table of Contents
- Introduction to Integration Platforms
- Platform Overview
- Feature Comparison
- Pricing Analysis
- Ease of Use
- App Ecosystem
- Performance and Reliability
- When to Choose Zapier
- When to Choose Make
- Migration Considerations
Introduction to Integration Platforms
Integration Platform as a Service (iPaaS) tools have transformed how businesses connect their software applications. Instead of custom development for every connection, these platforms provide visual interfaces to build automated workflows between applications. The two dominant players in this space are Zapier and Make (formerly Integromat), each with distinct philosophies and capabilities.
Choosing the right platform affects your operational efficiency, scalability, and total cost of ownership. This guide provides an objective comparison to help you make an informed decision.
Before diving into platform comparisons, use our Integration Compatibility Checker to verify which platforms support the specific tools in your tech stack.
Platform Overview
Zapier
Founded in 2011, Zapier pioneered the no-code automation space. It focuses on simplicity and accessibility, making automation available to non-technical users. Zapier uses a linear workflow model where triggers initiate sequential actions.
Philosophy: "Automation for everyone" Primary Audience: Non-technical users, small businesses, individual professionals Workflow Model: Linear (trigger → action → action)
Make (Integromat)
Launched in 2012 and rebranded from Integromat in 2022, Make positions itself as a more powerful, developer-friendly alternative. It uses a visual scenario builder with support for complex logic, branching, and data manipulation.
Philosophy: "Powerful automation with visual flexibility" Primary Audience: Technical users, agencies, growing businesses Workflow Model: Visual flowchart with branching and loops
Feature Comparison
Workflow Building
| Feature | Zapier | Make |
|---|---|---|
| Visual Builder | Linear path | Flowchart canvas |
| Branching Logic | Paths (limited) | Routers (unlimited) |
| Loops | Not natively supported | Built-in iterators |
| Error Handling | Basic (retry, stop) | Advanced (routes, handlers) |
| Conditional Logic | Filters between steps | Filters + routers |
| Data Transformation | Basic formatters | Full data manipulation |
| Multi-trigger | Not supported | Supported |
Workflow Complexity
Zapier Approach:
Trigger → Filter → Action → Action → Action
↓
(Path A) → Action
↓
(Path B) → Action
Make Approach:
┌→ Route A → Action → Action
Trigger → Router
├→ Route B → Iterator → Action (for each item)
│ ↓
│ Aggregator
└→ Route C → Error Handler → Alert
Data Handling
Zapier:
- Basic data mapping between fields
- Built-in formatters for text, numbers, dates
- Limited ability to aggregate or transform complex data
- Line item support with caveats
Make:
- Full JSON/array manipulation
- Built-in functions for complex transformations
- Aggregators for combining multiple records
- Text parser with regex support
- Math and date functions
Example: Processing Multiple Items
Zapier approach (requires multiple zaps or Paths):
Trigger: New order with 5 line items
→ Uses line item mode
→ Creates 5 separate task executions
→ Each counts toward task limit
Make approach:
Trigger: New order with 5 line items
→ Iterator splits into 5 bundles
→ Process each item
→ Aggregator combines results
→ Single scenario run
Scheduling and Triggers
| Capability | Zapier | Make |
|---|---|---|
| Minimum Interval | 1 minute (highest tier) | 1 minute (all paid) |
| Scheduled Triggers | Yes | Yes |
| Webhook Triggers | Yes | Yes |
| Custom Webhooks | Basic | Advanced |
| Polling Frequency | Plan-dependent | Configurable |
Pricing Analysis
Understanding pricing requires looking beyond the advertised rates to actual usage patterns.
Zapier Pricing (2026)
| Plan | Monthly Cost | Tasks | Zaps | Key Features |
|---|---|---|---|---|
| Free | $0 | 100 | 5 | Single-step zaps |
| Starter | $19.99 | 750 | 20 | Multi-step zaps |
| Professional | $49 | 2,000 | Unlimited | Paths, custom logic |
| Team | $69/user | 2,000 | Unlimited | Shared workspaces |
| Enterprise | Custom | Custom | Unlimited | SSO, admin controls |
What counts as a task?
- Each action execution = 1 task
- Filters don't count
- Paths multiply task usage
- Line items each count separately
Make Pricing (2026)
| Plan | Monthly Cost | Operations | Scenarios | Key Features |
|---|---|---|---|---|
| Free | $0 | 1,000 | 2 | All core features |
| Core | $9 | 10,000 | Unlimited | All modules |
| Pro | $16 | 10,000 | Unlimited | Full-text execution log |
| Teams | $29 | 10,000 | Unlimited | Team features |
| Enterprise | Custom | Custom | Unlimited | Custom add-ons |
What counts as an operation?
- Each module execution = 1 operation
- Filters count as operations
- Iterators count for each item processed
- Error handlers count
Real-World Cost Comparison
Scenario: Daily CRM sync with 100 contacts
Zapier:
- Trigger: 1 task
- 100 contacts × 2 actions each = 200 tasks
- Daily total: 201 tasks
- Monthly: ~6,030 tasks
- Required plan: Professional ($49+) or higher
Make:
- Trigger: 1 operation
- Iterator: 1 operation
- 100 items × 2 modules = 200 operations
- Aggregator: 1 operation
- Daily total: 203 operations
- Monthly: ~6,090 operations
- Required plan: Core ($9) handles this easily
Cost Efficiency Analysis
| Use Case | More Cost-Effective |
|---|---|
| Simple, low-volume workflows | Zapier (free tier) |
| High-volume data processing | Make |
| Complex branching logic | Make |
| Team collaboration needs | Comparable |
| Enterprise requirements | Comparable |
Ease of Use
Learning Curve
Zapier:
- Extremely intuitive for beginners
- Guided setup wizards
- Minimal technical knowledge required
- Limited flexibility can frustrate power users
Make:
- Steeper initial learning curve
- More powerful once learned
- Requires understanding of data structures
- Extensive documentation and tutorials
User Interface
Zapier UI Strengths:
- Clean, guided workflow
- Step-by-step configuration
- Clear error messages
- Excellent onboarding
Make UI Strengths:
- Visual scenario canvas
- Drag-and-drop modules
- Real-time execution preview
- Detailed data inspection
Template and Recipe Availability
| Aspect | Zapier | Make |
|---|---|---|
| Pre-built Templates | 6,000+ | 1,000+ |
| Template Quality | Consistently good | Variable |
| Customization | Limited | Full |
| Community Sharing | Yes | Yes |
App Ecosystem
Integration Count
Zapier: 6,000+ apps Make: 1,500+ apps
However, raw numbers don't tell the full story.
Integration Depth
| App Category | Zapier Coverage | Make Coverage |
|---|---|---|
| CRM | Excellent | Excellent |
| Marketing | Excellent | Very Good |
| E-commerce | Very Good | Excellent |
| Development | Good | Excellent |
| Databases | Good | Excellent |
| Niche/Specialized | Better | Variable |
Custom API Support
Zapier:
- Webhooks by Zapier (basic)
- Code by Zapier (JavaScript/Python)
- Requires workarounds for complex APIs
Make:
- HTTP/Webhook modules (full featured)
- Custom app creation
- GraphQL support
- SOAP API support
- Better handling of complex authentication
Building Custom Integrations
Zapier Developer Platform:
- Visual builder for simple integrations
- CLI for advanced development
- Public app listing possible
- Revenue sharing program
Make App Development:
- More technical but more powerful
- Full API access in apps
- Private app support
- Custom module creation
Performance and Reliability
Execution Speed
| Metric | Zapier | Make |
|---|---|---|
| Instant Triggers | Yes (webhook) | Yes (webhook) |
| Min Polling Interval | 1 min | 1 min |
| Execution Speed | Good | Excellent |
| Large Data Sets | Can struggle | Handles well |
Reliability and Uptime
Both platforms maintain strong uptime records:
- Zapier: 99.9% uptime SLA (Enterprise)
- Make: 99.5% uptime SLA
Error Handling Comparison
Zapier Error Handling:
Error occurs → Retry (automatic)
→ Stop zap
→ Notify user
→ Manual replay
Make Error Handling:
Error occurs → Error handler route
→ Retry with backoff
→ Fallback actions
→ Store failed bundle
→ Resume from failure point
→ Notify user
When to Choose Zapier
Zapier is the better choice when:
1. Non-Technical Users
- Marketing teams automating campaigns
- Sales teams connecting CRM to tools
- HR managing applicant workflows
- Anyone who values simplicity over power
2. Simple Automation Needs
- Linear workflows (A → B → C)
- Standard app-to-app connections
- Low to medium volume
- Basic conditional logic
3. Specific App Requirements
- Need a niche app only on Zapier
- Existing Zapier integration is superior
- Template matches your exact use case
4. Quick Implementation
- Need automation working today
- No time for learning curve
- Prototyping before building properly
Example Zapier-Ideal Workflows
- New Typeform submission → Slack notification → Google Sheets
- New Stripe customer → Mailchimp subscriber
- Calendar event → Zoom meeting → Email confirmation
- New lead → CRM record → Sales notification
When to Choose Make
Make is the better choice when:
1. Complex Workflow Requirements
- Branching logic with multiple paths
- Data transformation needs
- Loop/iteration requirements
- Error handling sophistication
2. Cost Sensitivity at Scale
- High-volume workflows
- Processing many records
- Budget constraints
- Need to maximize value
3. Technical Capabilities
- Team has technical comfort
- Need custom API connections
- Complex data manipulation
- Advanced scheduling needs
4. Data Processing Focus
- Aggregating data from multiple sources
- Complex transformations
- Working with arrays/JSON
- Building reports or dashboards
Example Make-Ideal Workflows
- E-commerce: Order → Check inventory → Route to fulfillment OR notify purchasing
- Data pipeline: Multiple sources → Transform → Aggregate → Load to warehouse
- Support: Ticket → AI classification → Route to appropriate team → SLA tracking
- Reporting: Pull from 5 sources → Transform → Generate report → Schedule delivery
Migration Considerations
Zapier to Make
Why migrate:
- Hitting task limits
- Need more complex logic
- Cost optimization
- Better API support
Migration process:
- Document existing Zaps
- Identify Make equivalents
- Rebuild with enhanced logic
- Test thoroughly
- Run parallel briefly
- Switch over
Challenges:
- Different mental model (linear vs. visual)
- Some apps may have different field names
- Learning curve for team
Make to Zapier
Why migrate:
- Team needs simpler tool
- Better native integration needed
- Template availability
- Reducing complexity
Migration process:
- Audit scenario complexity
- Identify which can be simplified
- Accept some feature loss
- Rebuild as Zaps
- Test and verify
Challenges:
- May need multiple Zaps for one scenario
- Loss of advanced features
- Potential cost increase
Hybrid Approach
Some organizations use both:
- Zapier: Simple automations, non-technical users
- Make: Complex workflows, data processing
This adds management overhead but optimizes for each use case.
Both Zapier and Make are excellent platforms with different strengths. Zapier democratizes automation with its simplicity, while Make empowers technical users with flexibility and power. Your choice depends on your team's technical comfort, workflow complexity, budget constraints, and specific integration needs.
Use our Integration Compatibility Checker to verify both platforms support your essential tools before making a decision. Consider starting with free tiers of both to experience the differences firsthand.
The best automation platform is the one your team will actually use consistently. Sometimes that means choosing the simpler option even when you could handle the complex one.
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