Make (Integromat) vs Zapier: Which one Is Better?

Make vs Zapier — the two dominant no-code automation platforms compared on complexity handling, AI integration, pricing, and ease of use. Make wins on power and cost. Zapier wins on simplicity and app breadth.
Feature
Make (Integromat)
Zapier
Ease Score

6/10

9/10

Feature Score

9/10

7/10

Money Value Score

10/10

8/10

Integration Score

8/10

10/10

Customer Support

8/10

9/10

Price

$9/mo

Free: 1,000 ops | Core: $9/mo | Pro: $16/mo | Teams: $29/mo

$19/mo

Free: 100 tasks | Starter: $19/mo | Professional: $49/mo | Team: $69/mo

Overall Score

8/10

8/10

Winner
Depends on Complexity

Make wins for complex multi-branch automation with AI intelligence — 70-80% cheaper at scale. Zapier wins for simple integrations with maximum ease of use and 7,000+ app connections. Most businesses start with Zapier and graduate to Make as complexity grows.6

About Make (Integromat) vs Zapier

Make (Integromat) vs Zapier — Full Comparison Zapier and Make are the two platforms that made no-code automation mainstream. Both let non-technical business users connect apps and automate workflows. The difference is depth: Zapier optimized for simplicity, Make optimized for power. Key Differences At a Glance
  • Make handles complex logic (conditional branches, iterators, data transformation, error handling) that Zapier cannot.
  • Zapier has 7,000+ integrations vs Make’s 1,500 — for niche apps, Zapier is more likely to have a native connector.
  • Make’s native AI modules (OpenAI, Anthropic, Google AI) allow adding intelligence to any workflow step visually.
  • Zapier Professional at $49/month = 2,000 tasks. Make Pro at $16/month = 10,000 operations. Make is ~70% cheaper.
  • Learning curve: Zapier takes hours to learn. Make takes days to weeks for complex scenarios.

✓  Your automations need conditional logic, loops, or multi-branch routing

✓  You want AI decision-making embedded in workflow steps (OpenAI, Claude, Google AI modules)

✓  High operation volumes make Zapier’s pricing prohibitive

✓  You have technically-minded team members who can invest time learning the platform

✓  Your workflows require data transformation between incompatible app formats

✓  You need simple trigger-action integrations configured in minutes

✓  Your tools use niche integrations not yet available in Make’s library

✓  Your team has no technical background and needs absolute maximum simplicity

✓  You’re starting with basic automation and may not need complex logic

Frequently Asked Questions

Everything you need to know about Make (Integromat) vs Zapier

Is Make easier to use than Zapier?
No — Zapier is significantly easier to use than Make. Zapier’s interface is intentionally simple: select trigger app, select trigger event, select action app, select action, map fields. Most users are running their first Zap within 30 minutes. Make’s visual scenario builder is more powerful but requires understanding concepts like data flow, routers, iterators, and error handling. Expect 1–2 weeks before Make’s power becomes accessible for complex workflows.
Make has dedicated modules for OpenAI, Anthropic (Claude), and Google AI that you add like any other app module in a workflow. Configure the AI module with your prompt, model choice, and parameters — then connect its output to downstream workflow steps. Example: receive a customer support email → OpenAI module classifies the issue type and urgency → router directs to correct support queue → AI drafts a suggested reply. No coding required — pure visual configuration.
Yes. Make’s HTTP/Webhook modules allow connecting to any app that has a REST API — even if there’s no dedicated Make module. This requires slightly more technical knowledge (understanding API documentation, authentication methods) but extends connectivity to virtually any modern SaaS application. Zapier’s 7,000+ pre-built connectors require less technical knowledge for each specific app but the HTTP module approach in Make ultimately covers more ground.
If your automation need is: ‘When X happens in App A, do Y in App B’ — use Zapier. If your automation need is: ‘When X happens, check condition 1 (if yes go to branch A, if no go to branch B), transform the data, process each item in a list, handle errors gracefully, and connect to AI for a decision’ — use Make. The branching, looping, and AI integration requirements are the clearest indicators that Make is the right tool.
Make Core: $9/month = 10,000 operations = $0.0009 per operation. Zapier Starter: $19/month = 750 tasks = $0.025 per task. Make is approximately 28x cheaper per execution unit. However, Make operations and Zapier tasks aren’t directly equivalent (a Make scenario may use multiple operations per run), so real cost comparison requires calculating your specific scenario’s operation consumption.