Make, formerly Integromat, is a visual automation platform built around a drag-and-drop canvas where each app, action, and decision appears as a connected node. Where Zapier presents automations as a linear list of steps, Make lays the entire workflow out spatially, so you can see data flowing through your scenario and follow branches, loops, and merges at a glance. For anyone whose automations involve more than a straight trigger-to-action path, this visual model is its single biggest advantage.
The core function is the same category of work — connecting apps so events in one drive actions in others — but Make is designed for the more sophisticated end of that spectrum. It excels at conditional routing, iterating over lists of items, aggregating results, transforming data structures, and handling errors gracefully with retries and replay. A single Make scenario can fan out into multiple paths, process arrays of records, call APIs directly, and recombine the results, all within one canvas. This makes it a strong fit for operations teams automating multi-step processes that would feel cramped in a linear builder.
Make integrates with thousands of applications and, crucially, exposes deep functionality within them rather than only surface-level triggers. It also offers generic HTTP and webhook modules, so any service with an API can be wired in even without a dedicated connector. On the AI side, Make has introduced its Maia assistant, which helps build and explain scenarios, and Make AI Agents for autonomous, goal-driven task execution, alongside modules that call language models for classification, extraction, and generation inside a workflow.
Its characteristics cut both ways. The visual canvas is genuinely powerful and, for complex logic, easier to reason about than nested linear steps — but it is not intuitive on day one, and most newcomers need a few hours to feel comfortable. Pricing is operation-based, which is generally cost-effective at moderate volumes and often cheaper than Zapier at scale, though it can surprise you if a scenario performs many operations per run. The connector catalogue, while large, is smaller than Zapier’s.
Make suits power users, agencies, and operations teams who have outgrown simple trigger-action tools and need branching, data manipulation, and error handling without dropping into full code. Typical tasks include syncing complex records across systems, processing batches of data, orchestrating multi-app marketing or sales workflows, and building internal tools that react to events. It is less suited to absolute beginners who want something working in two minutes, or to teams that need self-hosting and full data ownership.
Choose Make if your workflows have real branching, looping, or data-transformation needs and you want to see and control the logic visually without writing code.
