Zapier and Make are the two dominant no-code automation platforms. They connect apps, automate workflows, and reduce manual work. They’re often treated as direct substitutes — but they have meaningful differences that affect which is right for your team.
What Is Zapier?
Zapier is the pioneer of the no-code integration category. It connects 7,000+ apps via a simple trigger-action model: something happens in App A, something happens in App B. It’s designed for non-technical users and prioritizes simplicity and speed of setup.
Zapier’s strength is its massive integration library and zero learning curve. Its weakness is the pricing model: every task costs a credit.
What Is Make?
Make (formerly Integromat) is a visual automation platform with a more powerful workflow builder than Zapier. It uses a visual canvas where you connect “modules” (nodes) with arrows, and it supports complex scenarios with iterators, aggregators, error handlers, and routers.
Make is more capable than Zapier for complex workflows — but it has a steeper learning curve. It’s not as simple as Zapier, but not as developer-centric as n8n.
Head-to-Head: Core Features
| Zapier | Make | |
|---|---|---|
| UI style | Linear steps list | Visual canvas/map |
| Logic complexity | Limited | Good (routers, iterators, aggregators) |
| Integrations | 7,000+ | 1,800+ |
| Target user | Non-technical | Semi-technical |
| Pricing model | Per task | Per operation |
| Free plan | 100 tasks/month | 1,000 operations/month |
| Data handling | Per-field mapping | Advanced transformations |
| AI features | AI steps, Copilot | Basic AI modules |
| Execution history | 15 days | 30 days |
| Real-time triggers | Yes (paid) | Yes (paid) |
Pricing: The Critical Difference
Zapier Pricing (2026)
- Free: 100 tasks/month
- Starter: $29.99/month — 750 tasks
- Professional: $73.50/month — 2,000 tasks
- Team: $103.50/month — teams + versioning
Make Pricing (2026)
- Free: 1,000 operations/month
- Core: $10.59/month — 10,000 operations
- Pro: $18.82/month — 10,000 operations + advanced features
- Teams: $34.12/month per user
The key difference: Make’s “operation” is one module execution. Zapier’s “task” is one action step. A 5-step workflow running 100 times = 500 tasks on Zapier but 500 operations on Make.
The operational semantics are similar — but Make’s base price is dramatically lower. At equivalent usage, Make typically costs 5–10x less than Zapier. For teams that run high-volume workflows, this is material.
Where Zapier Wins
1. Integration breadth
Zapier’s 7,000+ integrations dwarf Make’s 1,800+. If you need to connect a niche SaaS tool that only a few people use, there’s a much better chance Zapier has it.
2. Simplicity for non-technical users
Zapier’s linear interface is genuinely easier to understand. A marketing manager can build a Zapier automation in 20 minutes with no training. Make’s canvas can be overwhelming initially.
3. Support and documentation
Zapier has years of documentation, how-to guides, and an active community. It’s the “Google” of automation — if you have a question, the answer exists somewhere.
4. Reliability track record
Zapier has been around since 2011 and has a mature, reliable cloud infrastructure. For mission-critical automations, that track record matters.
Where Make Wins
1. Price
At almost any usage level above the free tier, Make is significantly cheaper. For teams running thousands of automation operations per month, the cost difference can be thousands of dollars per year.
2. Complex data transformations
Make has built-in functions for array manipulation, data aggregation, and complex filtering that Zapier handles poorly. If you’re transforming data (not just routing it), Make is more capable.
3. Visual debugging
Make’s visual canvas makes it easier to trace what happened in a complex scenario. Zapier’s linear task history is harder to debug when something goes wrong in step 4 of a 10-step workflow.
4. Parallel execution
Make can run branches in parallel within a single scenario. Zapier’s linear model executes steps sequentially only.
5. More generous free tier
1,000 operations/month (Make) vs 100 tasks/month (Zapier) — Make gives 10x more on the free tier.
When to Choose Zapier
- Your team is non-technical and needs self-service automation
- You need 7,000+ integrations and Make doesn’t have all your tools
- Speed of setup is more important than cost
- Your workflows are simple and linear
When to Choose Make
- Cost matters — you’re running high volumes or budget is tight
- Your workflows involve complex data transformations or parallel paths
- You have a semi-technical team member who can manage the visual canvas
- You want the visual debuggability of the canvas view
The Limitation Both Share: Fixed Paths
Zapier and Make are both fundamentally workflow automation tools — which means they follow fixed paths that a human defines.
Neither tool can:
- Decide how to handle a situation it hasn’t been programmed for
- Read context and adapt its response
- Reason about whether an action makes sense before taking it
For these tasks — which are increasingly what teams actually need — AI agents are a better fit.
Shogo connects the same tools (970+ integrations) but replaces the fixed trigger-action model with AI reasoning. Instead of defining every possible path, you describe the outcome:
“When we get a new inbound lead, research their company, score them based on ICP fit, and route them to the right rep with a summary.”
Zapier/Make version: You’d need 8 steps, a lookup table, a filter, and different action branches for each score tier. Every edge case requires manual programming.
Shogo version: The agent reads the lead, reasons about fit, and decides what to do — handling edge cases without you defining them.
Zapier and Make are the right choice for structured, repeatable workflows. Shogo is the right choice when the work requires judgment.
Bottom Line
Choose Zapier if: you need simplicity, maximum integration breadth, and your team is non-technical.
Choose Make if: cost matters, your workflows are complex, and you have someone semi-technical to manage the setup.
Consider Shogo if: you need automation that can reason, not just route — especially for sales, support, and knowledge work.