Comparison of three orchestration tools Make, Claude Code and OpenClaw as stack layers

    Make vs. Claude Code vs. OpenClaw – Picking the Right Orchestration Layer (2026)

    21. März 20264 min read
    Till Freitag

    TL;DR: „Make for structured workflows, Claude Code for custom code, OpenClaw for self-hosted assistants – they're not competitors, they're different layers of the stack."

    — Till Freitag

    Three Tools. Three Layers. One Question.

    The automation landscape in 2026 has fundamentally shifted. It's no longer about "Zapier or Make?" – it's about entirely different approaches solving different problems.

    Make.com (Celonis, $13.2B valuation), Claude Code (Anthropic, $380B valuation), and OpenClaw (open source) are not competing products. They're different layers of the orchestration stack.

    The question isn't: "Which one is best?" The question is: What are you actually trying to build?

    The Comparison at a Glance

    Make.comClaude CodeOpenClaw
    Product typeVisual workflow automationAI coding agentAI assistant & action layer
    Best forMulti-step automations, routing, integrationsCustom tools, code, internal automationsTask execution, assistant-led actions, cross-channel
    Core strengthMature builder with 3,000+ integrationsHighest flexibility through codeLean & fast for execution-heavy use cases
    Main limitationCost and complexity rise with scaleNeeds technical judgment and promptingLess proven for deep orchestration
    Learning curveModerateModerate to hardModerate for technical users
    Typical userOps teams, automation builders, tech marketersDevelopers, technical operators, foundersFounders, operators, growth teams
    PriceFrom $0, paid from $9/moFrom $20/mo (Claude Pro)$0 self-hosted + hosting/API costs
    Complexity4/105/106/10

    Make.com – The Workflow Orchestrator

    Make (formerly Integromat, now part of Celonis) is the most mature visual automation platform on the market.

    What Make Does

    • Visual scenario builder: Drag & drop with branching, loops, error routes
    • 3,000+ app integrations: From Google Workspace to Shopify to Salesforce
    • AI Scenario Builder (2026): Describe scenarios in natural language and auto-generate them
    • EU Data Residency: GDPR-compliant out of the box

    When to Pick Make

    • You need structured, visible, maintainable workflows across many tools
    • Your team isn't purely technical – the visual builder makes logic understandable
    • You want operational logic: approval flows, routing, conditional branching
    • Compliance and auditability matter

    Where Make Hits Limits

    • Complex scenarios take time to design and maintain
    • Costs scale with operations volume
    • Custom code requires HTTP modules or workarounds

    Our take: Make is the foundation for any structured automation. As a certified partner, we've used it as our primary orchestration tool for years.

    Claude Code – The Coding Agent

    Claude Code by Anthropic is not an automation tool in the traditional sense – it's an AI coding agent that writes, runs, and ships code for complex technical tasks.

    What Claude Code Does

    • Codebase-aware: Reads and understands your entire codebase
    • Writes and runs code: Scripts, tools, automations – directly in the terminal
    • Shipping speed: From idea to working tool in minutes, not days
    • High precision: Anthropic's Claude models are leading in reasoning and coding

    When to Pick Claude Code

    • The fastest path is custom code, not dragging blocks in a builder
    • You need one-off scripts, internal tools, or repo-specific automations
    • You want maximum flexibility without visual builder constraints
    • Code reviews, refactoring, and technical analysis are your daily work

    Where Claude Code Hits Limits

    • Terminal-first workflow – less visual oversight than a builder
    • Needs technical direction and clear prompting
    • No native integration into business apps like CRMs or ERPs

    Our take: Claude Code is our go-to for agentic engineering. We use it daily for custom tooling and codebase work – combined with Make for the operational layer.

    OpenClaw – The Self-Hosted Assistant

    OpenClaw is an open-source AI agent that works as an action layer across chat apps, terminal, and API.

    What OpenClaw Does

    • Self-hosted: Full control over data and infrastructure
    • Multi-channel: Slack, Discord, Teams, terminal – one agent everywhere
    • Tool execution: Lightweight automations, research, messaging
    • Multi-LLM: OpenAI, Anthropic, Mistral, or local models via Ollama

    When to Pick OpenClaw

    • You want a self-hosted assistant you fully control
    • Speed and simplicity matter more than workflow depth
    • You need a cross-channel agent for messaging, research, and tasks
    • GDPR and data sovereignty are non-negotiable

    Where OpenClaw Hits Limits

    • Setup, permissions, and security are more involved than people think
    • Less proven than Make for complex, multi-step orchestration
    • Community support rather than enterprise SLA

    Our take: OpenClaw is the exciting open-source alternative for teams that want maximum control. For production setups, we recommend Docker-based hosting.

    They're Different Layers

    This is the key insight: These tools don't compete with each other. They solve different problems at different levels:

    LayerToolFunction
    Workflow orchestrationMake.comStructured, visual, multi-step automations
    Code & custom toolsClaude CodeOne-off scripts, internal tools, technical automation
    Assistance & executionOpenClawCross-channel task execution, lightweight actions

    In practice, we use all three – depending on the task:

    • Make orchestrates operational workflows (lead routing, onboarding, reporting)
    • Claude Code builds custom tools that Make can't (API parsers, data pipelines, internal dashboards)
    • OpenClaw handles fast, cross-channel tasks (inbox triage, Slack actions, research)

    Scoring Matrix: Which Tool When?

    CriterionMake.comClaude CodeOpenClaw
    Structured workflows★★★★★★★☆☆☆★★★☆☆
    Custom code & tools★★☆☆☆★★★★★★★★☆☆
    Speed to value★★★★☆★★★★★★★★☆☆
    Visual auditability★★★★★★☆☆☆☆★★☆☆☆
    Data control / GDPR★★★★☆★★★☆☆★★★★★
    Scalability★★★★☆★★★★★★★★☆☆
    Ease of entry★★★★☆★★★☆☆★★★☆☆

    Our Stack in Practice

    For our clients, we typically deploy this combination:

    TaskToolWhy
    Lead routing & CRM syncsMake.comStructured, auditable, maintainable
    Custom API integrationsClaude CodeFaster than any builder
    Email triage & inbox managementOpenClawCross-channel, privacy-compliant
    Approval workflowsMake.comVisual, auditable
    Internal tools & dashboardsClaude CodeCode-first, maximum flexibility
    Research & monitoringOpenClawProactive, multi-channel

    Conclusion: Ask the Right Question

    Stop searching for the "best" tool. Ask instead:

    1. Do I need visible, structured workflows? → Make.com
    2. Is custom code the fastest path? → Claude Code
    3. Do I need a self-hosted assistant across channels? → OpenClaw

    Most teams need at least two of these layers. The art lies in the right combination.


    Not sure which combination fits your team? Talk to us – we help with orchestration strategy.

    More on this topic: Make.com Guide · What is OpenClaw? · 5 Building Blocks of an AI Agent · Agent Skills as a Standard

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