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Make (formerly Integromat)

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Make (formerly Integromat)란 무엇인가요?

Make (formerly Integromat) is a visual automation platform that connects apps and designs complex workflows using a drag-and-drop canvas. It offers more advanced data transformation and branching capabilities than simple trigger-action tools, making it popular for technically-inclined users.

What is Make?

Make, formerly known as Integromat until its rebrand in 2022, is a cloud-based integration and automation platform that lets users visually design workflows called "scenarios." Unlike simpler trigger-action platforms, Make uses a canvas-based visual editor where you can see the entire data flow, add routers for conditional branching, and handle complex multi-path logic.

How Make Works

Make scenarios consist of modules connected on a visual canvas:

  • Trigger module: Watches for events in a source app (new email, updated record, scheduled interval).
  • Action modules: Perform operations in connected apps — create records, send messages, update databases.
  • Routers: Split the workflow into parallel paths based on conditions, enabling if/else branching.
  • Iterators and aggregators: Loop through arrays of data and consolidate results, essential for batch processing.
  • Data transformers: Built-in functions for text manipulation, date formatting, math operations, and JSON parsing.
  • Make vs. Zapier

    AspectMakeZapier
    Visual editorFull canvas with data flow visualizationLinear step-by-step builder
    BranchingNative router modulesPaths feature (premium only)
    Data manipulationRich built-in functionsLimited without code steps
    PricingOperations-based, generally cheaperTask-based, more expensive at scale
    Learning curveSteeperGentler for beginners
    Error handlingGranular per-module error routesBasic retry and notification

    Make's Strengths

  • Visual data flow: The canvas shows exactly how data moves through your workflow, making complex logic easier to understand and debug.
  • Advanced transformations: Built-in functions for manipulating text, dates, numbers, and arrays without needing custom code.
  • Cost-effective at scale: Operations-based pricing typically costs less than Zapier's per-task model for equivalent workloads.
  • Error handling: Dedicated error-handling routes let you define fallback behavior for each module independently.
  • Make's Limitations

  • No browser automation: Like Zapier, Make cannot interact with web pages — it relies entirely on API connectors.
  • Steeper learning curve: The power of the visual canvas comes with complexity that can overwhelm non-technical users.
  • Execution time limits: Scenarios have maximum execution time constraints that can limit long-running workflows.
  • No AI agent: Make does not include an AI that can autonomously plan and build workflows based on natural language instructions.
  • Make vs. Autonoly

    Autonoly shares Make's visual canvas philosophy but extends it with AI-powered browser automation and an intelligent agent. Where Make requires API connectors for every service, Autonoly can interact with any website through Playwright-based browser control. Autonoly's AI agent can also interpret natural language instructions to build and execute workflows autonomously — a capability neither Make nor Zapier offers.

    왜 중요한가요

    Make represents an important evolution in no-code automation — proving that visual workflow builders can handle complex logic, branching, and data transformation. Understanding Make's approach helps teams evaluate whether they need a visually-oriented platform and where Make's API-only limitation might require a more comprehensive solution.

    Autonoly는 어떻게 해결하나요

    Autonoly builds on the visual canvas concept that Make pioneered, adding AI-powered browser automation and an intelligent agent that can plan workflows from natural language. While Make requires API connectors for every integration, Autonoly works with any website through built-in browser control — and its AI agent eliminates the manual workflow-building process entirely.

    자세히 보기

    예시

    • Migrating a Make scenario to Autonoly when the workflow needs to interact with a legacy web portal that has no API

    • Replacing a complex Make scenario with an Autonoly AI agent that builds the workflow from a natural language description

    • Combining Make-style visual branching with Autonoly's browser automation to create end-to-end workflows across API and non-API systems

    자주 묻는 질문

    Make offers more advanced visual workflow design, better data transformation capabilities, and generally lower pricing at scale. Zapier is easier to learn and has more pre-built app connectors. The best choice depends on your workflow complexity and technical comfort level.

    Integromat rebranded to Make in February 2022. The platform, features, and team remained the same — only the name and branding changed. Existing Integromat users were migrated to Make automatically.

    No. Like Zapier, Make relies on API connectors and cannot interact with web pages directly. For browser-based automation — clicking, typing, scrolling, and extracting data from websites — you need a platform like Autonoly that includes built-in Playwright-powered browser control.

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