Make (Integromat) Review 2026: Power at a Fraction of the Price

What Is Make?

Make — known as Integromat until its 2022 rebrand — is a visual automation platform. Where Zapier presents a workflow as a vertical list of steps, Make gives you a canvas: modules are circles, connections are lines, and data flows left to right in front of you.

That difference sounds cosmetic. It is not. Once a workflow has three branches, a loop, and an error handler, the list view stops being readable and the canvas keeps making sense. Make calls these workflows scenarios, and they can grow considerably more sophisticated than a Zap before they become unmanageable.

Make supports 1,500+ native app integrations, plus a universal HTTP module that connects to any REST API — which in practice means the integration list is a convenience, not a ceiling.

Key Features

The Visual Scenario Builder

The core of the product. Drag modules onto a canvas, wire them together, and click any connection to inspect the exact data passing through it. When something breaks, you can see where — a debugging experience no list-based builder matches.

Routers, Iterators, and Aggregators

This is where Make pulls decisively ahead. A router splits one scenario into parallel branches with independent filters. An iterator turns an array into individual items you can process one at a time. An aggregator collapses them back into a single bundle. Together they express the "for each item in this list, do something, then summarize the results" pattern that most no-code tools force you into ugly workarounds for.

Error Handlers

Attach a dedicated error route to any module: retry, ignore, roll back, or break and resume later. For workflows touching payments or customer data, this is not a nice-to-have — it is the difference between a failed run you fix on Monday and silent data loss you find in a quarter.

AI Agents and AI Modules

Make's AI agents can be dropped into a scenario as a module, given a set of tools, and left to decide the route — while the rest of the scenario stays deterministic. That hybrid model is the sensible one: use AI where judgment is needed, keep hard logic everywhere else. Native modules for the major model providers are also included.

Scheduling and Execution Control

Run scenarios on a cron-style schedule, on a webhook, or on demand — with per-scenario concurrency limits and full execution history. Sequential processing can be enforced when order matters, which is more control than most competitors expose.

Pricing

Make bills per operation — one module doing one thing on one bundle of data. That is more granular than Zapier's task, and the free tier alone gives you 1,000 operations a month against Zapier's 100 tasks. At real volume the gap widens considerably.

Pros & Cons

Who Should Use Make?

Use Make if you run more than a handful of automations, your workflows have conditions and branches, or your Zapier bill has started to sting. The weekend you spend learning routers and iterators pays for itself within a couple of months.

Look elsewhere if you need one simple automation live in ten minutes and never want to think about it again — Zapier is the better answer. If you are technical and want to self-host for cost or data-residency reasons, n8n is the closer fit.

Our Verdict

Make is the best value in no-code automation, and the gap is not close. Anything Zapier can do, Make can do — usually for less money and often more elegantly. The visual canvas is not just prettier; it is a genuinely better way to reason about a workflow with more than three steps.

The honest caveat is the first week. Make expects you to understand how data moves between modules, and it will not hide that from you. Some people find that clarifying. Others find it exhausting, bounce off, and go back to Zapier — which is a legitimate outcome, not a failure.

Bottom line: If you plan to automate more than a couple of things, start here. Our Zapier vs Make comparison breaks down exactly where each one wins.