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Make vs Zapier

Make wins for complex multi-branch scenarios at lower cost; Zapier wins for the largest integration catalog and easiest learning curve.

By , Founder, NextAutomation
Make wins for complex multi-branch scenarios at lower cost; Zapier wins for the largest integration catalog and easiest learning curve.

Feature comparison

FeatureMakeZapierWinner
Integrations
Good
1,700+ apps
Excellent
7,000+ apps
Zapier
Pricing
Excellent
$9-$29+/mo by operations
Fair
$19.99-$799+/mo by tasks
Make
Visual builder
Excellent
Best-in-class scenario UI
Good
Linear step-by-step
Make
Branching/routers
Excellent
Native routers and aggregators
Good
Paths add-on
Make
Ease of learning
Good
Steeper than Zapier
Excellent
Easiest in market
Zapier
Data transformation
Excellent
Iterators, aggregators, JSON
Good
Formatter steps
Make
Free tier
Excellent
1,000 ops/mo
Fair
100 tasks/mo
Make
Templates
Good
7,000+ templates
Excellent
6,000+ templates
Tie
Support
Good
Email + community
Excellent
24/7 on higher tiers
Zapier
Cost (10K ops/tasks)
Excellent
~$9/mo
Fair
~$73/mo
Make

Choose Make if…

  • You build complex multi-branch flows
  • You need data iterators and aggregators
  • You want the cheapest cloud option
  • You want a visual scenario builder
  • Your monthly volume is under 100K operations

Choose Zapier if…

  • You need an obscure integration
  • You have no technical experience
  • You want the easiest possible UX
  • You prefer linear flows
  • You need premium 24/7 support

Our recommendation

Make is the better deal for complex automations involving data manipulation, loops, or branching. Zapier is the safer pick for simple A-to-B workflows or when you need an integration Make does not support.

How to choose the right platform

Choosing between automation platforms isn't just about features — it's about matching the tool to your team's technical capability, budget constraints, and specific use cases. The "best" platform is the one your team will actually use consistently.

Decision framework

Ask these questions before committing to a platform:

  • Who will build the automations? Non-technical users need visual builders (Zapier, Make). Developers prefer code-first tools (n8n, custom).
  • How complex are your workflows? Simple A→B integrations work on any platform. Multi-step, branching workflows need Make or n8n.
  • Do you need AI/LLM capabilities? Only n8n has native LangChain integration for AI agent workflows.
  • What's your data sensitivity? If data must stay on your servers, only self-hosted options (n8n) qualify.

Migration considerations

Switching platforms after building 100+ workflows is painful. Factor in migration cost when choosing — it's worth paying slightly more upfront for the right platform than saving money now and facing a 6-month migration later.

Sources: Assessments draw on vendor documentation, public user reviews (G2, Capterra), community forums, and NextAutomation's hands-on experience building on these platforms.

Frequently Asked Questions

Make (formerly Integromat) is a visual automation platform that uses a scenario-based, data-flow interface and supports complex logic like iterators, aggregators, error handling, and conditional routing. Zapier uses a simpler trigger-action model with a linear, step-by-step interface. Make is more powerful for complex workflows; Zapier is faster for simple two-step automations.

Make's free plan includes 1,000 operations/month with unlimited scenarios. Paid plans start at $10.59/month (10,000 ops) vs Zapier's $20/month (750 tasks). Make's pricing is based on operations (individual actions within a scenario), while Zapier charges per task (each trigger-action pair). For complex multi-step workflows, Make is almost always cheaper than Zapier at equivalent workload.

Make has a higher learning curve due to its visual data-flow interface, which differs from traditional linear workflow tools. Concepts like modules, bundles, iterators, and aggregators require some initial study. Zapier's step-by-step interface is more intuitive for beginners. Most users comfortable with spreadsheets and logic adapt to Make within one to two weeks of regular use.

Make is significantly better for complex workflows. It natively supports: loops over arrays, data aggregation, error-handler branches, conditional routing, and multiple data transformations within a single scenario. Zapier's Paths feature adds some branching, but it lacks Make's iterators and aggregators. For multi-step, data-heavy automations, Make is the stronger choice.

Choose Zapier when: your team is non-technical and needs to set up automations independently, you rely on apps only available in Zapier's larger integration library, you need the simplest possible two-step automations with no data manipulation, or your organization has existing Zapier expertise and workflows. Zapier's reliability, support, and onboarding experience are consistently stronger for non-technical teams.

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