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Migrate from Make.com to n8n

Migrate from Make.com to n8n

Dec 10, 2025

Sep 20, 2025

Sep 20, 2025

Calculating...

Calculating...

Calculating...

Harish Malhi - founder of Goodspeed

Founder of Goodspeed

Graphic showing "Bubble Development for SMEs: How Small and Medium-Sized Enterprises Can Leverage Bubble Technology"
Graphic showing "Bubble Development for SMEs: How Small and Medium-Sized Enterprises Can Leverage Bubble Technology"
Graphic showing "Bubble Development for SMEs: How Small and Medium-Sized Enterprises Can Leverage Bubble Technology"

Make.com is a strong choice when you’re getting started with visual automation. Scenarios are easy to build, the editor is powerful, and for a handful of workflows it can feel like magic. lindy.ai+1

The problems start when those “few scenarios” turn into dozens, then hundreds, and parts of your business now depend on them. At that point, Make.com to n8n migration is less about tool preference and more about:

  • Cost behaviour at scale

  • Control over infrastructure and data

  • Reliability and observability for critical workflows

This guide is for teams already using Make.com who are considering a move to n8n and want to do it in a structured, low-risk way with an experienced n8n agency.

Why teams leave Make.com (cost, limits, complexity, reliability)

Most teams don’t leave Make because they dislike it. They leave because they’ve outgrown it.

Cost behaviour as workflows and data volumes grow

Make’s pricing is tied to operations – every module execution in a scenario consumes credits. As you add more branches, transforms and API calls, the operation count climbs quickly. Make+2relay.app+2

That’s fine for a small estate. It gets harder to justify when:

  • Scenarios are running continuously on production data


  • You have multi-branch flows with lots of intermediate modules


  • 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 spread across multiple scenarios


  • Minimal reuse of common patterns


  • Harder to see what’s critical vs experimental


  • Dependency chains that live in someone’s head, not in docs Hackceleration+1


As scenarios accumulate, so does risk. A small change in one flow can have unexpected effects elsewhere.

Vendor lock-in and limited control over infra/data

Make is a hosted platform. You don’t control:

  • Where the underlying infrastructure runs


  • How data is stored internally


  • How long logs are retained


  • When breaking changes to connectors are rolled out Make+1


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 lots of modules is slow


  • Long-running flows can be harder to reason about


  • Alerting and monitoring are not on par with typical engineering observability stacks Hackceleration+1


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

These are the main drivers we see when serious teams decide it’s time to migrate Make to n8n.

Benefits of n8n for larger or more complex workflows

n8n is closer to automation infrastructure than a simple SaaS tool. That’s why our n8n consultants recommend it once automation becomes business-critical. GitHub+2n8n+2

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. n8n+2n8n+2

There are still real costs in running and maintaining the platform, but they behave more like other engineering infrastructure than a “metered SaaS” bill.

Control and ownership

Self-hosted n8n gives you:

  • Full control over where workflows run (cloud, on-prem, VPC)


  • Ability to keep data inside your infrastructure and region


  • Direct access to logs and runtime behaviour


  • Freedom to integrate internal services that will never appear as public connectors n8n+2GitHub+2


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


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More expressive workflow logic and extensibility

Make is very flexible, but n8n pushes further towards “visual programming”:

  • Rich branching and looping


  • Direct JSON manipulation and expressions


  • Ability to mix low-code nodes with custom JavaScript where needed n8n+2helloroketto.com+2


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 / ops stack

Because n8n is source-available and self-hostable, you can:

  • Version-control workflow definitions


  • Integrate with CI/CD pipelines


  • Align monitoring and alerting with the rest of your stack GitHub+1


In other words, 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 doesn’t 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 (e.g. lead routing, billing notifications, reporting)


  • Identify:


    • Critical flows (customer impact, revenue, risk)


    • High-volume / high-cost flows


    • Redundant or obsolete scenarios


We also capture owners – 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:

  • 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


  • Introduce a standard structure for naming, folders and documentation


At this stage, our workflow automation experts are deliberately improving design, not just copying it.

Build – clean, reliable, well-documented n8n workflows

We then build the workflows in n8n:

  • Use clear node structures and naming conventions


  • Extract reusable parts into sub-workflows


  • Implement safeguards (validation, retries, dead-letter handling where appropriate)


  • Document 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:

  • 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.)


  • Simulate failure modes (API errors, rate limits, malformed data)


Only when we’re confident behaviour matches (or improves on) the original do we cut over.


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Monitor – logging, alerting, and ongoing iteration

After cutover, we treat workflows like production systems:

  • Set up logging and metrics for n8n executions


  • Configure alerts for failure rates and latency thresholds


  • Review early incidents and refine error handling


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

What’s required before migrating

You don’t need everything perfect to start, but a few inputs make migration smoother:

  • Overview of your Make.com estate


    • List of active scenarios


    • Rough notes on what they do and which teams they serve


  • Clarity on critical flows


    • Which scenarios are revenue-critical or customer-facing


    • Any SLAs attached to them


  • Decision (or preference) on hosting


  • Access to systems and people


    • API keys / service accounts for your tools


    • Someone who understands the business rules behind key automations


If any of this is missing, we can include a short discovery phase to gather it.

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” 1:1 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’re debugging many workflows simultaneously, often under time pressure.

How we prevent it: we phase migrations:

  1. Low-risk, low-complexity flows


  2. High-value but well-understood flows


  3. 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 weren’t properly accounted for.

How we prevent it:

  • Use dedicated service accounts where possible


  • Align scopes and permissions with least-privilege principles


  • 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:

  • Bake logging and error outputs into the n8n design


  • Surface key metrics in dashboards your team already uses


  • Set up alerts for critical workflows from day one


5. Ignoring internal change management

Problem: teams discover new tooling and behaviour changes after the fact, leading to confusion and rollback pressure.

How we prevent it:

  • Involve owners of key processes early


  • Share migration plans and timelines


  • Provide lightweight training so internal teams understand how to work with n8n


Short case example (migration result)

A simplified but representative example.

Client: B2B SaaS company with ~60 employees
Before:

  • ~40 Make.com scenarios supporting:


    • Lead routing and enrichment


    • Customer onboarding emails


    • Billing and dunning notifications


    • Internal Slack alerts


  • Make usage steadily increasing; operations occasionally spiking


  • No clear owner for scenarios; a few “Make power users” held the knowledge


After n8n migration:

  • Consolidated into ~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 (automation spend aligned to infra budgets, not credit spikes) relay.app+2Latenode+2


  • 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 – more control, clearer costs, 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’ve seen how real-world scenarios behave on Make, and how they should be modelled on n8n. That means faster mapping, better design choices, and fewer unpleasant surprises. goodspeed.studio+1

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)


  • Keep stakeholders aligned as behaviour changes


Production-grade automation systems

Our workflow automation experts treat automations as part of your core stack, not side projects:

  • Explicit error handling


  • Observability


  • Documentation and reusability


That’s hard to get from ad hoc migrations.

An ongoing partner after migration

Once Make.com is out of the way, you’ll typically want to:

  • Add new workflows


  • Integrate more tools


  • Optimise what you already have


Having dedicated n8n experts on call – whether on a light retainer or project basis – keeps momentum going.

Request a migration review

If your Make scenarios are starting to feel like a fragile dependency, or your operations bill is creeping up, it’s a good time to explore n8n.

We offer a focused Make.com → n8n migration review where we:

  • Audit your current Make setup


  • Identify high-value, high-risk candidates for migration


  • Recommend hosting options for n8n


  • Propose a phased, low-risk migration plan


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Harish Malhi - founder of Goodspeed
Harish Malhi - founder of Goodspeed

Harish Malhi

Founder of Goodspeed

Harish Malhi is the founder of Goodspeed, one of the top-rated Bubble agencies globally and winner of Bubble’s Agency of the Year award in 2024. He left Google to launch his first app, Diaspo, built entirely on Bubble, which gained press coverage from the BBC, ITV and more. Since then, he has helped ship over 200 products using Bubble, Framer, n8n and more - from internal tools to full-scale SaaS platforms. Harish now leads a team that helps founders and operators replace clunky workflows with fast, flexible software without writing a line of code.

Frequently Asked Questions (FAQs)

1. Why do teams stop using Make.com?

Most teams leave Make.com because they outgrow it, not because it’s a bad tool. The main reasons are rising costs tied to operations, difficulty managing large scenario libraries, limited control over infrastructure and data, and reliability concerns for business-critical workflows.

2. Why does Make.com become expensive as automation scales?

Make.com charges based on operations per module execution. As scenarios gain more branches, transformations, and API calls, operation counts increase quickly, making costs harder to predict and control for high-volume production workflows.

3. What makes large Make.com scenario libraries hard to manage?

As scenario counts grow, teams face duplicated logic, poor reuse of common patterns, unclear ownership, and hidden dependencies. Over time, small changes in one scenario can create unexpected side effects elsewhere.

4. What control limitations push teams away from Make.com?

Make.com is fully hosted, so teams don’t control infrastructure location, data residency, log retention, or connector change timing. For organisations with stricter security, compliance, or internal system needs, this lack of control becomes a blocker.

5. Why is n8n better suited for complex or critical workflows?

n8n offers more expressive workflow logic, direct JSON access, custom code where needed, and full execution logs, making it easier to debug, monitor, and evolve workflows that directly impact revenue or customer experience.

6. Is migrating from Make.com to n8n risky?

Migration doesn’t have to be risky when done in phases. A structured approach—audit, map, build, test, and monitor—allows teams to validate behaviour with real data and often run Make and n8n in parallel before full cutover.

7. When should a team consider moving from Make.com to n8n?

Teams should consider switching when automation costs are unpredictable, scenarios are business-critical, security or data residency matters, or when automation needs start resembling infrastructure rather than ad-hoc workflows.

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Don't need a call? Email harish@goodspeed.studio

We’ve created products featured in

Get in touch

Ready to Build Smarter?

Explore how we can turn your idea into a scalable product fast with low-code, AI, and a battle-tested process.


Don't need a call? Email harish@goodspeed.studio

We’ve created products featured in

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Goodspeed is a top-rated no-code/low-code and Bubble agency with 200+ custom internal tools and SaaS products delivered. Our team combines product strategy, AI, and Bubble to build clean, scalable software fast and at a fraction of the cost.

Logo

Goodspeed is a top-rated no-code/low-code and Bubble agency with 200+ custom internal tools and SaaS products delivered. Our team combines product strategy, AI, and Bubble to build clean, scalable software fast and at a fraction of the cost.

Logo

Goodspeed is a top-rated no-code/low-code and Bubble agency with 200+ custom internal tools and SaaS products delivered. Our team combines product strategy, AI, and Bubble to build clean, scalable software fast and at a fraction of the cost.