Make Review 2026: The Best Visual Automation Platform for Non-Developers
Published April 29, 2026 · Updated May 1, 2026 · by Heidi Hildebrandt
Our hands-on Make (formerly Integromat) review after 6 weeks of real workflow building. Best use cases, pricing breakdown, and honest comparison to Zapier and n8n.
Pros
- ✓ Visual scenario builder is the clearest automation canvas in the market
- ✓ Operations-based pricing is dramatically cheaper than Zapier at scale
- ✓ Routers, iterators, and aggregators handle complex branching elegantly
- ✓ 1,000+ app integrations with deep feature support
- ✓ Built-in HTTP module covers APIs without dedicated modules
Cons
- ✕ No native code execution (unlike n8n). Custom logic requires workarounds.
- ✕ AI/LLM workflow capabilities are immature compared to n8n
- ✕ Steeper initial learning curve than Zapier's linear step model
- ✕ Error handling requires separate error routes. Not beginner-friendly.
Make Review 2026: Visual Automation Done Right
By Heidi Hildebrandt, Co-Founder at Pondero Tested: March to April 2026
TL;DR
Make is the best automation platform for non-developers who need more than Zapier. The visual scenario canvas is the clearest way to build and understand complex workflows in any no-code tool. Operations-based pricing means you pay for what you use, not per task, which is a major cost advantage over Zapier at volume.
The gaps: no native code execution, and AI/LLM capabilities are behind n8n. For straightforward to moderate-complexity automations without custom logic, Make is excellent. For LLM-heavy or code-intensive workflows, look at n8n.
I rebuilt our internal Pondero automation stack from Zapier onto Make over six weeks in March 2026. Eight production scenarios, eleven sub-scenarios. The cost dropped from $69.95/mo on Zapier Professional to $18.82/mo on Make Pro plus a small operations top-up. Everything in this review is what I learned doing that migration in production.
Rating: 4.2/5. Best visual automation for non-developers.
Who Make Is For
Make works best for:
- Marketing and ops teams who need complex automations without writing code
- Zapier refugees, teams that hit Zapier’s task-based pricing wall
- Businesses with moderate complexity, multi-step branching workflows that don’t require custom logic
- Budget-conscious teams. Make’s operations pricing is significantly cheaper than Zapier at scale
Make is a bad fit for:
- Developers who want code control. Use n8n instead.
- AI/LLM workflow builders. n8n’s AI Agent node is materially more capable.
- Complete beginners. Zapier’s linear step model is simpler for first-time automation users.
The Scenario Builder
Make’s canvas-based scenario builder is the best UI in the automation market for visual thinkers. Each app module appears as a circle connected by lines, like a flowchart you can rearrange by dragging.
The key structural elements that set Make apart:
Routers split a scenario into multiple paths based on conditions. Each path can run a different sequence of modules, then optionally merge back. Visualizing branching logic in Zapier requires Paths Plus (a paid tier add-on); in Make, it is a core primitive.
Iterators process arrays item by item. They are essential for workflows that handle lists of records. Make’s iterator is one of the most intuitive implementations we have used.
Aggregators combine results from multiple branches or loop iterations back into a single module. Make’s array aggregator is particularly useful for collecting results from parallel processing paths.
These three primitives let you build genuinely complex workflows without writing a line of code. They do require a mental model shift if you are coming from Zapier’s linear step paradigm. Plan on a week of fumbling before the canvas clicks.
Pricing vs. Competitors
Make uses an operations-based pricing model. Each module execution in a scenario costs one operation. A scenario with five modules that runs 500 times per month uses 2,500 operations.
| Plan | Price | Operations/mo | Scenarios |
|---|---|---|---|
| Free | $0 | 1,000 | 2 |
| Core | $9/mo | 10,000 | Unlimited |
| Pro | $16/mo | 10,000 | Unlimited |
| Teams | $29/mo | 10,000 | Unlimited |
| Enterprise | Custom | Custom | Unlimited |
Operations scale separately. Additional 10,000 ops cost around $9 beyond plan limits.
Compared to Zapier: Zapier Professional at $69.99/month includes 2,000 tasks. Make Pro at $16/month includes 10,000 operations. For multi-step workflows, the difference is stark. Zapier’s task counts every step; Make’s operations also count each module run, but the base price is less than a quarter of Zapier’s.
Compared to n8n: n8n self-hosted is cheaper for power users. Make is cheaper than n8n Cloud and simpler to set up.
Real numbers from our migration: the same workflow set that cost $69.95/mo on Zapier (Professional) ran for $18.82/mo on Make Pro plus a $2.82 ops top-up in our first full month. Same eight scenarios, same trigger volume, same downstream destinations.
Integrations
1,000+ app modules. Integration depth is strong for major business tools: Google Workspace, Slack, Airtable, Notion, HubSpot, Salesforce, Stripe, Shopify, and most mainstream SaaS tools.
The HTTP module serves as a catch-all for APIs without dedicated Make modules. Authentication support (API key, OAuth, Basic) is solid. For most teams, the combination of native modules and HTTP requests covers the full integration surface.
One limitation: some niche app integrations are shallower than n8n’s equivalent nodes. For specialized tools, check Make’s specific module documentation before committing. We hit this twice during the migration. Once on a CRM with a half-supported module that did not surface custom fields, and once on a calendar service that required dropping back to HTTP.
AI Capabilities
Make added AI-related modules (OpenAI, Claude, Google AI) as standard integrations. You can call an LLM API, parse the response, and use the output in subsequent modules.
There is no AI Agent node equivalent to n8n’s. Make does not natively support multi-step agentic reasoning, where the LLM decides what tools to call next based on intermediate results. Building agent-style workflows in Make requires elaborate router logic and HTTP calls that can become fragile.
For simple LLM calls (classify this email, summarize this document, generate this copy), Make is adequate. For autonomous AI agents with dynamic tool use, n8n is significantly ahead.
What We Built During Testing
Over six weeks we built 18 scenarios covering:
- Email parsing and CRM enrichment (Gmail to Clearbit to HubSpot)
- Automated social posting pipeline (Airtable to Buffer to LinkedIn to Twitter/X)
- Support ticket routing and prioritization (Typeform to Zendesk to Slack)
- Monthly reporting aggregation (Google Sheets + GA4 to Slides to email)
- Invoice processing (email attachment to Google Drive to Airtable to QuickBooks)
- Lead scoring and routing (HubSpot webhook to scoring logic to Slack + email)
The most complex scenario, lead scoring with multiple routing branches, took two full days to build and test. The simpler linear automations took under 30 minutes. Make’s strength is in the middle of that range: genuinely complex multi-step workflows that stay visual and debuggable without requiring code.
Reliability and Monitoring
Make’s reliability was strong over six weeks: no outages, consistent execution. The execution history panel is clear and useful. You can see exactly which module ran, what data passed through, and what failed.
Error handling requires building dedicated error handler routes, a separate path that triggers when a module fails. This is more powerful than Zapier’s simple retry logic, but it requires upfront planning. For beginners, it is a source of confusion when a scenario breaks silently. Plan on adding error routes in pass two, after the happy-path flow works end to end.
Make vs. Zapier: The Key Decision
| Factor | Make | Zapier |
|---|---|---|
| Ease of setup | Moderate | Easiest |
| Visual clarity | Excellent | Good |
| Pricing at scale | Much cheaper | Expensive |
| AI/LLM capabilities | Moderate | Basic |
| Complex branching | Native (Routers) | Paths Plus (paid) |
| Code execution | No | No |
| Community size | Large | Largest |
Choose Make over Zapier when:
- You are running 10+ multi-step automations
- Your task volume makes Zapier’s per-task pricing painful
- You want a clearer visual view of complex workflows
Choose Zapier over Make when:
- You are new to automation and need the simplest possible interface
- Your team is non-technical and needs Zapier’s large template library and support resources
For the deeper head-to-head with worked migration math, see Zapier vs Make: 2026 honest comparison.
Bottom Line
Make delivers on the promise of visual automation without code. The canvas, routers, and aggregators allow you to build genuinely sophisticated workflows that would require developer effort in any other platform. Pricing is fair and dramatically better than Zapier at scale.
The ceiling is code execution and advanced AI workflows. If your automation needs require custom logic or LLM agents with dynamic tool use, n8n is the better choice.
4.2/5. Recommended for non-developers who have outgrown Zapier.
Frequently Asked Questions
Is Make better than Zapier? For most use cases with any complexity, yes. Make’s visual canvas, router support, and dramatically lower pricing give it a clear advantage over Zapier. Zapier wins only on simplicity of setup and community size.
Is Make free? Make has a free plan with 1,000 operations/month and two active scenarios. Paid plans start at $9/month.
What happened to Integromat? Make was rebranded from Integromat in 2022. The core product is the same; the brand changed when the company expanded beyond European markets.
Can Make handle AI/LLM workflows? Partially. Make can call LLM APIs and process their outputs. It does not support autonomous agentic reasoning natively. For that, n8n is more capable.
How does Make pricing compare to Zapier? Significantly cheaper. Zapier Professional ($69.99/month) includes 2,000 tasks. Make Pro ($16/month) includes 10,000 operations with unlimited scenarios. For multi-step workflows at volume, Make is typically 3 to 5x cheaper.
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