n8n vs Make.com 2026: Full Comparison

TL;DR — n8n vs Make at a Glance

Make.com wins for non-technical users who need a polished, visual interface and access to 1,500+ pre-built connectors without writing a line of code. n8n wins for technical teams who need code flexibility, unlimited executions, AI agent capabilities, and data sovereignty — especially at scale where Make's per-operation billing becomes expensive.

What is n8n?

n8n (pronounced "n-eight-n") is an open-source workflow automation platform built by n8n GmbH in Berlin. Its visual node-based canvas connects applications, APIs, databases, and AI models, and it supports full JavaScript and Python code execution inside any workflow node — something Make.com does not offer.

n8n launched in 2019 and now has 40,000+ GitHub stars, a 90,000-member Discord community, and is used by companies ranging from solo freelancers to enterprise engineering teams. It operates under a Sustainable Use License (fair-code) — free to self-host internally, commercial licensing needed for building a SaaS on top.

n8n Deployment Options

• Community Edition (self-hosted) — Free; you manage the server, SSL, and updates
• n8n Cloud — Hosted by n8n GmbH; Starter from €20/month (2,500 executions), Pro from €50/month (10,000 executions)
• OpenHosst Managed n8n — Dedicated instance, unlimited executions, SSL, auto-updates, custom domain — $2.99/month, no server management
• n8n Enterprise — On-premise or private cloud, SAML SSO, RBAC, audit logs; custom pricing

What is Make.com?

Make.com (formerly Integromat, acquired by Celonis in 2020, rebranded in 2022) is a cloud-based visual automation platform headquartered in Prague, Czech Republic. It connects 1,500+ apps through a drag-and-drop scenario builder designed for non-technical users who want automation without code.

Make's core concept is the scenario: a visual flowchart where each connected app module represents one automated step. It's genuinely easier to use than n8n for beginners — the UI is polished, onboarding is smooth, and the connector library is extensive. Make is cloud-only with no self-hosted option.

How Make.com Pricing Works

Make bills by operations. Each module in a scenario that successfully executes counts as one operation. This is the critical detail most comparisons gloss over:

• A 3-module scenario (trigger → transform → send email) = 3 operations per run
• A 5-module scenario (webhook → lookup → format → update CRM → Slack notify) = 5 operations per run
• That 5-module scenario running 2,000 times/month = 10,000 operations — Make's entire Starter plan

Most real automation workflows have 4–8 modules. Users frequently discover their use case demands 2–4× more operations than they estimated, pushing them to higher-priced plans.

Feature-by-Feature Comparison

Pricing Breakdown 2026

n8n Pricing

Note on n8n Cloud vs OpenHosst: n8n Cloud plans count executions (workflow runs), not operations. OpenHosst is fully managed self-hosting — your data stays on your instance, unlimited executions, and no execution caps. For teams migrating from Make's per-operation model, OpenHosst removes billing anxiety entirely.

Make.com Pricing

Prices verified from make.com/pricing as of June 2026, monthly billing rates.

Make.com's Operation Billing Trap

This is the thing most Make.com reviews underexplain. The operation model sounds simple but compounds quickly in real usage:

The Math Most Users Don't Do

Each row where operations exceed 10,000 requires paying $9 per additional 10,000 block. An e-commerce team running 16,000 ops/month pays $25/month — and that's before adding more scenarios. n8n on OpenHosst handles all of these at $2.99/month, always.

AI Agent Capabilities: n8n vs Make.com

AI capabilities have become the decisive factor for many teams evaluating automation platforms in 2026. The two platforms take fundamentally different approaches.

n8n's AI Agent Architecture

n8n is built on LangChain — the leading AI agent framework — giving it native support for the entire spectrum of AI automation patterns:

• AI Agent node — Autonomous agents that decide which tools to use at runtime, supporting tool-calling with any LLM (OpenAI GPT-4o, Anthropic Claude, Mistral, Llama via Ollama, and more)
• Memory systems — Window buffer memory (last N messages), vector store memory (Pinecone, Qdrant, Weaviate, Chroma), Redis session memory for stateful agents
• RAG pipelines — Document loader → text splitter → embeddings → vector store → retrieval → LLM response, all orchestrated as n8n nodes
• Multi-agent orchestration — Supervisor agents that spawn specialized sub-agents and aggregate their outputs
• Tool calling — Any n8n workflow can be wrapped as a tool callable by an AI agent — database lookups, API calls, email sending, file operations
• Bring your own API key — No per-AI-call markup; you pay your AI provider directly

Make.com's AI Approach

Make.com has connectors for AI services — primarily OpenAI, Anthropic, and Google AI — that let you include AI calls as steps in your scenarios. What this enables:

• Send a prompt to GPT-4o, receive a response, pass it to the next module
• Summarize documents, classify content, generate copy within a linear workflow
• Use AI to transform or enrich data between other app modules

What Make.com cannot do: build an AI agent that decides at runtime which of several tools to use, loops until a task is complete, or maintains stateful memory across multiple conversation turns. Make's automation is trigger-action; n8n's AI layer is agent-orchestration. These are genuinely different paradigms.

Ease of Use & Learning Curve

This is Make.com's clearest advantage. The two platforms are genuinely aimed at different skill levels.

Make.com: Built for Non-Technical Users

Make's scenario builder is intuitive: you drag app modules onto a canvas, connect them, configure each step in a side panel, and click Run. There's no concept of JSON manipulation or API authentication at the code level — Make handles these abstractions for you. A non-technical marketer or operations manager can build a functional automation in 30 minutes without prior experience.

The learning curve is: Make Free (15 min to first workflow) → routing and filtering (2–3 hours) → iterators and aggregators (1–2 days) → full platform mastery (2–4 weeks).

n8n: Built for Technical Teams

n8n requires more initial investment. The node canvas concept is easy to grasp visually, but configuring nodes requires understanding JSON data structures, how APIs return data, and how to reference data from previous nodes using n8n's expression syntax. Writing Code nodes requires JavaScript or Python.

The payoff: once you're past the initial curve, n8n lets you do things Make simply cannot — write arbitrary data transformation logic, call obscure APIs, build complex branching, and build full AI agent systems. Technical teams consistently describe the n8n learning investment as "worth it" for the power and flexibility gained.

The learning curve is: Basic workflows (1–3 hours) → expressions and data referencing (1 day) → Code nodes (requires JS/Python) → AI agents and advanced workflows (1–2 weeks of practice).

Integration Libraries Compared

Make.com: Breadth via Pre-Built Connectors

Make's 1,500+ pre-built app modules is its biggest quantitative advantage. These connectors are maintained by Make's team and partners, cover every major SaaS category, and expose the apps' APIs in a user-friendly module interface. Non-technical users don't need to understand the underlying API — Make abstracts it.

Standout Make connectors: Airtable, Monday.com, ClickUp, HubSpot, Salesforce, Slack, Discord, WhatsApp Business API, Shopify, WooCommerce, Stripe, Gmail, Google Calendar, 100+ Google Workspace tools, and niche tools like Typeform, JotForm, Webflow, Notion, and Todoist.

n8n: Depth via Code + Community

n8n's 400+ native nodes cover the most common integrations. The 500+ community-published npm nodes cover additional tools. And the HTTP Request node closes almost all remaining gaps — any REST API, any authentication method, any request body format can be called without a pre-built node.

n8n's native node depth often exceeds Make's for developer-centric tools: Postgres (with full query builder), Redis, RabbitMQ, GitHub Actions, GitLab, JIRA, Docker, SSH, and LDAP are all built-in. For developer toolchain automation, n8n frequently covers more than Make's polished SaaS-focused catalog.

Data Privacy & Self-Hosting

This is a genuine architectural difference that matters for certain use cases.

n8n: Data Sovereignty by Design

Self-hosted n8n processes all workflow data on your own server. Credentials, automation inputs, outputs, and execution history never leave your infrastructure. This is the strongest possible compliance posture: your data isn't transferred to any third-party cloud platform.

For industries handling protected health information (HIPAA), financial data, legal records, or personal data under GDPR, self-hosted n8n on your own infrastructure provides a level of data control that no cloud-based automation platform can match.

Make.com: GDPR-Compliant EU Cloud

Make is headquartered in Prague with servers in the EU, making it one of the more GDPR-friendly cloud automation platforms. Your data flows through Make's EU infrastructure, but it does flow through their systems. Make offers data region selection for Enterprise customers and maintains GDPR compliance documentation.

For most European teams handling standard business data, Make's compliance posture is adequate. But organizations with strict data residency requirements — healthcare, finance, government — typically need self-hosted n8n or direct cloud control that Make cannot provide.

n8n vs Make vs Zapier: The 3-Way Comparison

Many teams evaluating n8n or Make are also considering Zapier. Here's how all three compare on the factors that matter most.

Summary: Zapier wins on app connector count and ease, but its task-based billing is the harshest of the three at scale. Make is the middle ground: easier than n8n, more affordable than Zapier for moderate use. n8n wins on cost, flexibility, AI, and data control for teams willing to invest the learning time. We've written a full n8n vs Zapier comparison if you're evaluating that pair specifically.

Use Case Scenarios: Which Tool Wins?

Scenario 1: Marketing Team Running 20 Automated Campaigns

Make.com has a strong case. A marketing team (non-technical) running HubSpot → Google Sheets → Slack notifications → email campaigns will appreciate Make's polished HubSpot connector, the clean visual scenario builder, and the ability to make changes without IT help. If their 20 scenarios use an average of 4 modules each and run 500×/month, that's 40,000 operations — requiring Make's Teams plan ($29/mo) or heavy add-on purchases. n8n at $2.99 still wins on cost, but the make-or-break is whether anyone on the team can configure n8n's more technical interface.

Scenario 2: Developer Team Building AI Agent Products

n8n wins by a wide margin. A team building AI-powered internal tools — customer support agents, document processing pipelines, automated research assistants — needs LangChain's agent loop, vector store memory, and multi-agent orchestration. Make.com's AI connectors handle simple "prompt in, response out" steps, but cannot build an agent that decides which tools to use, loops until done, or maintains stateful memory. n8n is the only no-code-adjacent platform with this capability built-in.

Scenario 3: E-Commerce Startup Processing Orders

n8n wins on cost; Make wins on setup speed. A Shopify → Inventory → Fulfillment → Accounting automation processing 500 orders/day with 6-module scenarios = 90,000 operations/month on Make. That's 9 blocks of 10,000 ops at $9 each = $81/month in add-ons alone, on top of the $9 base plan. OpenHosst n8n: $2.99/month, unlimited orders. The setup investment in n8n is real, but the cost savings at this volume are $70-90/month.

Scenario 4: Solo Freelancer with Simple Automations

Make.com's free plan or Core plan is compelling. A freelancer running 5 simple automations (Typeform → Notion, Gmail → Trello, etc.) with low volume stays comfortably within Make's 1,000 ops/month free tier. n8n's free Community Edition requires managing your own server — not practical for a non-technical freelancer. OpenHosst's $2.99 managed plan still beats Make Core ($9) on price, but Make's UI advantage matters when technical help isn't available.

Who Should Choose Each Tool?

Choose n8n on OpenHosst if:

• You or your team can work with JSON data structures and basic JavaScript
• You're building AI agent workflows, RAG pipelines, or multi-agent systems in 2026
• You run complex workflows with many steps — Make's operation math becomes expensive fast
• Data sovereignty matters — your data cannot pass through third-party cloud platforms
• You need custom database connectors (Postgres, MySQL, MongoDB, Redis) beyond what Make offers
• You want to embed automation capabilities into your own product (white-labeling)
• You're migrating from Make and your primary complaint was billing unpredictability

Choose Make.com if:

• Your team is non-technical and needs to build and edit automations without developer help
• Your automation stack is primarily SaaS apps covered by Make's 1,500+ connector library
• Your scenario volume stays below 10,000 operations/month reliably
• You need Make-specific connectors for niche tools not covered by n8n's native nodes
• Speed of setup matters more than long-term cost efficiency
• EU data processing with GDPR compliance is required and self-hosting is not an option

Migrating from Make.com to n8n

Make scenarios and n8n workflows don't share a common export format — there's no one-click migration. But the process is manageable with the right approach.

Step 1: Export and Catalogue Your Make Scenarios

Go to Make's scenario list and export each one as a Blueprint (JSON). This gives you the full structure of each scenario's modules, connections, and configurations. Categorize your scenarios by: trigger type, app connections used, estimated monthly operation volume, and business criticality. This audit alone often reveals scenarios that have been inactive for months — a good time to clean up before migrating.

Step 2: Start Your n8n Instance

Create an OpenHosst managed n8n instance — it's live in under 2 minutes. Go to Settings → Credentials and add your accounts for each app you use. n8n's credential system is more explicit than Make's "connections" but handles OAuth 2.0, API keys, basic auth, and custom authentication methods for the same apps Make uses.

Step 3: Rebuild High-Volume Scenarios First

Start with the scenarios that consume the most Make operations. These deliver the fastest cost savings. For straightforward trigger → transform → action scenarios, rebuilding in n8n typically takes 20–45 minutes per workflow once you're familiar with the platform. The key skill to develop first: understanding n8n's expression syntax for referencing data from previous nodes (e.g., {{ $json.email }}).

Step 4: Map Make's Filters and Routers to n8n's IF/Switch Nodes

Make's Router module (which splits a scenario into multiple paths) maps to n8n's IF node (binary split) or Switch node (multiple branches). Make's Filter (which stops execution if a condition isn't met) maps to n8n's IF node with only one output connected. These are conceptually identical — the syntax just differs.

Step 5: Handle Make's Iterators and Aggregators

Make's Iterator (which processes an array item-by-item) maps to n8n's Split in Batches node or simply n8n's native array handling — many n8n nodes process arrays automatically without an explicit iterator. Make's Aggregator (which collects multiple items back into one) maps to n8n's Merge node or the Code node for custom aggregation logic.

Step 6: Run in Parallel, Then Cut Over

Run Make and n8n in parallel for 2–4 weeks on non-critical scenarios. Compare outputs. Watch for edge cases in your data. Once you're confident the n8n workflows produce identical results, switch production traffic and cancel Make at the next billing cycle (Make is monthly, no annual contract required on base plans).

Frequently Asked Questions

Which is cheaper: n8n or Make.com?

n8n on OpenHosst is $2.99/month with unlimited executions. Make.com's Core plan is $9/month for 10,000 operations, but each module in a scenario counts separately — a 5-module workflow running 2,000 times/month consumes all 10,000 operations. Teams with real automation workloads routinely need to purchase additional operation blocks ($9 per 10K) or upgrade plans. At any meaningful volume, n8n is dramatically cheaper — typically 60–90% less than Make for equivalent workloads.

Is n8n harder to use than Make.com?

Yes, n8n has a steeper initial learning curve. Make.com's visual scenario builder is intuitive for non-technical users — you can build a working automation in 30 minutes with no technical knowledge. n8n benefits from understanding JSON data structures, API authentication, and JavaScript expressions. That said, n8n's basic workflows are learnable in an afternoon, and the power you gain — custom code, AI agents, unlimited scale — pays off for technical teams quickly. Make wins for non-technical users; n8n wins for technical teams willing to invest learning time upfront.

Does n8n have more integrations than Make.com?

Make.com has more pre-built native connectors (1,500+ vs n8n's 400+ native nodes). However, n8n's 500+ community npm nodes and universal HTTP Request node mean it can connect to almost any app with an API. In practice, both platforms cover the vast majority of business apps — the gap is smallest for developer-centric tools (where n8n often has deeper native support) and largest for niche SaaS apps (where Make's polished pre-built modules shine).

How does n8n handle sensitive data compared to Make?

n8n's self-hosted architecture gives you complete data sovereignty — all workflow data stays on your server, never passing through third-party cloud infrastructure. OpenHosst runs your dedicated n8n instance in your preferred region. Make.com is EU-based and GDPR-compliant, but your automation data flows through their infrastructure. For healthcare (HIPAA), finance, legal, or organizations with strict data residency requirements, self-hosted n8n provides stronger compliance than any cloud automation platform.

Which platform is better for AI agent workflows in 2026?

n8n is significantly more capable for AI agents. Its native LangChain integration supports AI Agent nodes with tool-calling, multiple memory backends (vector stores, Redis, window buffer), RAG pipelines, and multi-agent orchestration. You can build an agent that loops, makes decisions, and uses tools autonomously. Make.com has AI app connectors for prompt-in/response-out steps, but does not support agent loops or autonomous decision-making between steps. For any team building AI-first products or internal AI automation, n8n is the clear choice in 2026.