How to Migrate from Make.com to n8n in 2026

TL;DR

• Teams typically migrate from Make.com to n8n when credit-based pricing becomes unpredictable at scale, scenario libraries grow unmanageable, or they need more control over infrastructure and data.

• n8n eliminates per-operation billing (self-hosted community edition), gives full control over where workflows run, and supports version control, CI/CD, and custom code alongside visual building.

• The safest migration follows a phased process: audit existing scenarios, map and redesign (not copy) into n8n, build with proper error handling, test in parallel with Make, then monitor after cutover.

• A typical migration consolidates scenario count significantly. In one case, 40 Make scenarios became 18 n8n workflows with better reliability and more predictable costs.

• Common pitfalls include lift-and-shift without redesign, big-bang migration, underestimating auth and rate limits, and skipping post-cutover monitoring.

Why Teams Leave Make.com

Most teams do not leave Make because they dislike it. They leave because they have outgrown it.

Cost behavior as Workflows and Data Volumes Grow

Make.com's pricing is credit-based, where every module execution in a scenario consumes credits. As of 2026, Make's Core plan starts at $10.59/month for 10,000 credits, with costs scaling as you add more branches, transforms, and API calls. A typical scenario with 5-6 steps uses 5-6 credits per run, meaning 10,000 credits only covers roughly 1,600-2,000 runs per month.

That is fine for a small estate. It gets harder to justify when scenarios are running continuously on production data, you have multi-branch flows with many intermediate modules, and a few core scenarios account for most of your automation bill. Forecasting and controlling costs becomes non-trivial, especially if nobody "owns" scenario design standards.

Complexity of Managing Large Scenario Libraries

Make is excellent for building individual flows. Managing dozens or hundreds of scenarios over time is a different challenge. Overlapping logic spreads across multiple scenarios, there is minimal reuse of common patterns, it becomes harder to see what is critical versus experimental, and dependency chains live in someone's head rather than in documentation.

As scenarios accumulate, so does risk. A small change in one flow can have unexpected effects elsewhere. For teams running complex SaaS workflows or finance team automations, this complexity becomes a liability.

Vendor Lock-In and Limited Control Over Infrastructure

Make is a hosted platform. You do not control where the underlying infrastructure runs, how data is stored internally, how long logs are retained, or when breaking changes to connectors are rolled out. For teams with stricter security or data residency requirements, or those integrating sensitive internal systems, this is increasingly uncomfortable.

Reliability, Debugging, and Observability for Complex Flows

Make has a capable execution inspector, but at higher complexity you start to feel its limits. Debugging multi-branch scenarios with many modules is slow, long-running flows can be harder to reason about, and alerting and monitoring are not on par with typical engineering observability stacks.

When workflows are "nice to have", this is acceptable. When they are part of how revenue is generated or customers are served, it becomes a risk surface.

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Benefits of n8n for Larger or More Complex Workflows

n8n is closer to automation infrastructure than a simple SaaS tool. With over 181,000 GitHub stars and 1500+ integrations, it has become one of the most popular open-source automation platforms in the world. That is why our n8n consultants recommend it once automation becomes business-critical.

Cost Model at Scale

With n8n, especially in self-hosted setups, there is no per-operation billing in the community edition. You pay for infrastructure (servers/containers) and, if applicable, commercial licensing. You can run many workflows and executions within the same environment.

This makes costs more predictable for high-volume automation than credit-based models. There are still real costs in running and maintaining the platform, but they behave more like other engineering infrastructure than a "metered SaaS" bill. For teams processing 50,000+ operations per month, n8n self-hosted is significantly more cost-effective than Make's equivalent tier.

Control and Ownership

Self-hosted n8n gives you full control over where workflows run (cloud, on-prem, VPC), the ability to keep data inside your infrastructure and region, direct access to logs and runtime behavior, and freedom to integrate internal services that will never appear as public connectors.

For organizations with compliance obligations or internal data platforms, this level of control is often non-negotiable.

More Expressive Workflow Logic and Extensibility

Make is very flexible, but n8n pushes further towards "visual programming" with rich branching and looping, direct JSON manipulation and expressions, and the ability to mix low-code nodes with custom JavaScript where needed.

If your team includes engineers or technically comfortable ops, this combination of visual design and code is powerful. It lets our n8n developers encode nuanced business rules without fighting the tool.

Automation as Part of the Engineering Stack

Because n8n is source-available and self-hostable, you can version-control workflow definitions, integrate with CI/CD pipelines, and align monitoring and alerting with the rest of your stack. Automation stops being "that thing in a separate SaaS" and becomes part of your operational infrastructure.

Our Migration Process (Audit, Map, Build, Test, Monitor)

A Make.com to n8n migration does not have to be disruptive. The risk mostly comes from rushing or treating it as a 1:1 copy exercise.

As an n8n automation agency, we use a structured process:

Audit: Inventory of Make Scenarios and Their Business Owners

We start by making the invisible visible. Export a list of all active and scheduled scenarios, group them by business process (lead routing, billing notifications, reporting, etc.), and identify critical flows (customer impact, revenue, risk), high-volume/high-cost flows, and redundant or obsolete scenarios.

We also capture owners, meaning who understands why each scenario exists and what "good" looks like.

Map: Design n8n Equivalents, Consolidate and Improve

Next, we map scenarios to n8n designs. We identify equivalent triggers and integrations in n8n, decide where to merge overlapping scenarios into shared workflows, add explicit error handling, logging, and idempotency where Make flows relied on defaults, and introduce a standard structure for naming, folders, and documentation.

At this stage, we are deliberately improving design, not just copying it.

Build: Clean, Reliable, Well-Documented n8n Workflows

We then build the workflows in n8n using clear node structures and naming conventions, extracting reusable parts into sub-workflows, implementing safeguards (validation, retries, dead-letter handling where appropriate), and documenting assumptions, inputs, outputs, and dependencies.

The goal is a system that can be safely maintained by your team or ours.

Test: Parallel Runs and Real Data

Before switching anything off in Make, we run key workflows in parallel where possible (Make and n8n side by side), feed n8n with live or realistic test payloads, compare outputs into downstream systems (CRM, billing, warehouse, etc.), and simulate failure modes (API errors, rate limits, malformed data).

Only when we are confident behavior matches (or improves on) the original do we cut over.

Monitor: Logging, Alerting, and Ongoing Iteration

After cutover, we treat workflows like production systems. We set up logging and metrics for n8n executions, configure alerts for failure rates and latency thresholds, and review early incidents to refine error handling.

This is where most DIY migrations fall down. Our n8n experts design monitoring in from the start.

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What Is Required Before Migrating

You do not need everything perfect to start, but a few inputs make migration smoother:

• Overview of your Make.com estate. A list of active scenarios with rough notes on what they do and which teams they serve.

• Clarity on critical flows. Which scenarios are revenue-critical or customer-facing, and any SLAs attached to them.

• Decision (or preference) on hosting. Self-hosted n8n versus managed cloud.

• Access to systems and people. API keys or service accounts for your tools, and someone who understands the business rules behind key automations.

Common Pitfalls (and How We Prevent Them)

We see the same patterns whenever teams try to migrate Make.com to n8n on their own.

1. "Lift and Shift" Without Redesign

• Problem: Copying each scenario directly into n8n recreates existing complexity and technical debt. You end up with the same mess on a different platform.

• How we prevent it: Our n8n consultants group and redesign flows, consolidating where it makes sense and introducing standards for structure, naming, and reuse.

2. Big-Bang Migration

• Problem: Moving everything at once means if something breaks, you are debugging many workflows simultaneously, often under time pressure.

• How we prevent it: We phase migrations. First, low-risk, low-complexity flows. Then high-value but well-understood flows. Finally, edge cases and rarely used scenarios. Each phase has its own test and cutover plan.

3. Underestimating Auth, Permissions, and Rate Limits

• Problem: Flows that worked in Make fail in n8n because credentials, scopes, or rate limits were not properly accounted for.

• How we prevent it: We use dedicated service accounts where possible, align scopes and permissions with least-privilege principles, and model rate limits in workflow design (backoff, queuing, batching).

4. No Monitoring After Cutover

• Problem: Without proper logs and alerts, failures go unnoticed until users complain.

• How we prevent it: We bake logging and error outputs into the n8n design, surface key metrics in dashboards your team already uses, and set up alerts for critical workflows from day one.

5. Ignoring Internal Change Management

• Problem: Teams discover new tooling and behavior changes after the fact, leading to confusion and rollback pressure.

• How we prevent it: We involve owners of key processes early, share migration plans and timelines, and provide lightweight training so internal teams understand how to work with n8n.

Case Example: B2B SaaS Migration

A simplified but representative example from our n8n case studies.

• Client: B2B SaaS company with approximately 60 employees.

• Before: Around 40 Make.com scenarios supporting lead routing and enrichment, customer onboarding emails, billing and dunning notifications, and internal Slack alerts. Make usage was steadily increasing with operations occasionally spiking. No clear owner for scenarios. A few "Make power users" held the knowledge.

• After n8n migration: Consolidated into approximately 18 n8n workflows and sub-workflows. Deployed n8n into the client's existing cloud environment. Introduced standard logging, error alerts, and simple dashboards.

• Results (first 3 months): More predictable costs with automation spend aligned to infrastructure budgets rather than credit spikes. Fewer silent failures thanks to monitoring and alerting. Clear mapping of workflows to business processes and owners. Internal ops team able to request and understand new automations without learning Make's UI.

The specific numbers will vary by organisation, but this pattern of more control, clearer costs, and better reliability is typical.

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Why Use an n8n Agency for Make.com Migrations

On paper, your team could do this alone. In practice, migration often stalls behind other priorities, or ends up as a partial, fragile port.

Working with a specialist n8n agency gives you:

• Experience with both Make and n8n. We have seen how real-world scenarios behave on Make, and how they should be modeled on n8n. That means faster mapping, better design choices, and fewer unpleasant surprises.

• A proven migration process. The audit, map, build, test, monitor pipeline exists to reduce downtime risk, deliver value early (by targeting costly or fragile flows first), and keep stakeholders aligned as behavior changes.

• Production-grade automation systems. Our workflow automation experts treat automations as part of your core stack, not side projects. That means explicit error handling, observability, documentation, and reusability.

• An ongoing partner after migration. Once Make.com is out of the way, you will typically want to add new workflows, integrate more tools, and optimize what you already have. Having dedicated n8n experts on call keeps momentum going.