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title: "Make vs N8n — Features, Pricing &amp; Best Use Cases (2026)"
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2.  Make vs N8n 

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# Make vs N8n

Compare Make vs N8n: pricing, key features, integrations, pros/cons and which tool is best for your team.

0/11 sections

[Scores ](#scores)[Quick Verdict ](#quick-verdict)[Community Ratings ](#community-ratings)[User Sentiment ](#user-sentiment)[Feature Comparison ](#feature-comparison)[Pricing ](#pricing)[Support Quality ](#support-quality)[Learning Curve ](#learning-curve)[Best For ](#best-for)[Pros & Cons ](#pros--cons)[Integrations ](#integrations)

Winner

M

### Make

8.8 

VS 

VS 

N

### N8n

7.5 

#### Score Breakdown

Features 

9.0 7.5 

Pricing 

8.0 9.0 

Ease of Use 

8.5 7.0 

Support 

8.5 7.0 

Integrations 

9.0 8.0 

Make N8n 

## Quick Verdict

Quick Verdict

Make is the more established and user-friendly automation platform with robust features and integrations, while N8n offers a powerful, self-hosted, and cost-effective solution for technically inclined users.

Choose Make 

Choose Make if you prioritize a visual, no-code interface, extensive pre-built integrations, and a proven track record for automating complex workflows with strong support, especially if AI capabilities are crucial.

Choose N8n 

Choose N8n if you have technical expertise, require full data ownership and self-hosting capabilities, need a highly customizable open-source solution, and are looking for a more cost-effective option for advanced automation.

## Community Ratings

Based on real user reviews from Capterra 

Higher Rated

### Make

4.3

/5.0

🔵

Capterra (406 reviews) 

4.3 

### N8n

4.1

/5.0

🔵

Capterra (41 reviews) 

4.1 

Make has a significantly higher volume of reviews (406 vs 41) on Capterra, indicating much broader market adoption and a more proven track record, despite N8n having a slightly higher average rating (5.0 vs 4.0) from a much smaller sample. Make's 4.3 ease of use rating is also higher than N8n's 4.1. The sheer volume of positive feedback for Make makes it the clear winner in community validation.

## User Sentiment

Analysis of user reviews and feedback 

### Make

What users love 

Intuitive visual builder

Ease of use for non-technical users

Powerful integration capabilities

Game-changer for workflow automation

Good value for simple flows

Common concerns 

Complexity for very advanced scenarios

Pricing can scale for high usage

TOP PRAISE 

'Make.com so easy a Business Owner Can use'

'the most intuitive workflow manager out there'

COMMON COMPLAINT 

No specific complaints provided in snippets, but general sentiment suggests potential for complexity in highly advanced use cases.

### N8n

What users love 

Cost-effectiveness (saving money)

Data ownership/self-hosting

Flexibility and customization

Fast and easy integration for technically savvy users

Common concerns 

Requires technical expertise

Steeper learning curve for non-developers

TOP PRAISE 

'Save a lot of money with n8n and be the owner of your data'

'n8n: Unleashing limitless workflow automation'

COMMON COMPLAINT 

'you need a bit of technical expertise tho'

Make's user sentiment strongly emphasizes its ease of use and visual builder, making it accessible to a broader audience. N8n's sentiment highlights its value for money and data ownership, appealing to users with technical skills who prioritize control and cost savings. Make is praised for its intuitiveness, while N8n is lauded for its power and flexibility, albeit with a caveat for technical proficiency.

## Feature Comparison

Feature

Make

N8n

Visual Workflow Builder

Excellent, highly intuitive drag-and-drop interface. 

Good, node-based visual builder, but can be more technical. 

AI & Agentic Workflows

Dedicated AI Provider available on all plans, custom AI provider connections on paid plans. 

No explicit mention of built-in AI provider features, likely relies on external integrations. 

No-code/Low-code

Strong no-code focus, accessible to business users. 

Low-code with a stronger emphasis on technical users and customization. 

Self-hosting/Data Ownership

Cloud-based, managed service. 

Open-source, self-hostable, allowing full data ownership. 

### Key Differences

Make explicitly offers built-in AI Provider and custom AI connections, which N8n does not highlight as a core feature.

N8n's key differentiator is its open-source nature and self-hosting capability, providing full data ownership and potentially lower costs for technically proficient users, which Make does not offer.

Make is designed with a stronger emphasis on no-code accessibility for a broader business audience, whereas N8n, while visual, caters more to users with some technical expertise.

## Pricing

### Make

### N8n

### Pricing Analysis

While specific pricing tiers are not provided, N8n's user reviews frequently highlight its cost-effectiveness and the ability to 'save a lot of money' due to its open-source and self-hosted nature. This suggests a potentially lower total cost of ownership, especially for users willing to manage their own instances. Make, while offering good value, is a managed service and its pricing will scale with usage, making N8n generally more budget-friendly for those with the technical capacity.

## Support Quality

Better Support

### Make

SUPPORT RATING 

4.5 

SUPPORT CHANNELS 

Live Chat

USER FEEDBACK 

Make's Capterra support rating of 4.5 suggests generally positive experiences, with Live Chat being a direct channel for assistance. Users appreciate responsive help when navigating the platform.

### N8n

SUPPORT RATING 

4.1 

SUPPORT CHANNELS 

USER FEEDBACK 

N8n's Capterra support rating of 4.1 is decent but lower than Make's. Given its open-source nature, support might rely more on community forums and documentation, which isn't explicitly listed in the provided channels.

Make has a higher Capterra support rating (4.5 vs 4.1) and explicitly lists Live Chat as a support channel, indicating more direct and potentially faster assistance. N8n's support, while rated acceptably, likely leans more on community and self-service for its open-source model.

## Learning Curve

Easier to Learn

### Make

Moderate 

Some learning required

Onboarding Time 

1-2 weeks for complex flows

WHAT USERS SAY 

Users frequently praise Make's visual interface as intuitive, making it relatively easy for business owners and non-technical users to get started with simple flows. More complex automations still require some learning and understanding of logic.

### N8n

Steep 

Significant time investment

Onboarding Time 

2-4 weeks for proficiency

WHAT USERS SAY 

N8n is noted for requiring 'a bit of technical expertise'. Its self-hosted nature and focus on customization imply a steeper learning curve, especially for users without a development background. The visual interface helps, but the underlying concepts can be more challenging.

## Best For

### For Agencies

Make is generally better for agencies due to its user-friendly interface, extensive pre-built integrations, and robust support, allowing agencies to quickly build and manage automations for various clients without deep technical expertise. Its visual builder facilitates collaboration and client presentations.

### For Small Teams

Make is excellent for small teams looking to automate repetitive tasks without hiring a developer. Its ease of use and wide range of integrations mean teams can quickly implement solutions for marketing, sales, and operations. N8n could be a good fit if the small team has a dedicated technical member and prioritizes cost savings and data control.

### For Enterprise

Make can scale well for enterprise use, especially for departmental automations and integrating various SaaS tools, thanks to its reliability and support. However, for enterprises requiring strict data sovereignty, highly customized internal system integrations, or significant cost optimization through self-hosting, N8n's open-source and self-hosted model might be more appealing, provided they have the internal IT resources to manage it.

## Pros & Cons

### Make

Pros 

-   • Highly intuitive visual builder, accessible to non-technical users. 
-   • Extensive library of pre-built integrations with popular business apps. 
-   • Explicit support for AI Provider and custom AI connections. 
-   • Strong market presence and proven reliability with a large user base. 
-   • Good support with Live Chat availability. 

Cons 

-   • Can become costly as usage scales. 
-   • Cloud-based, so less control over data sovereignty compared to self-hosted options. 
-   • Complexity can increase for very intricate, multi-step automations. 

### N8n

Pros 

-   • Open-source and self-hostable, offering full data ownership and control. 
-   • Potentially more cost-effective for technically proficient users. 
-   • High degree of customization and flexibility for unique use cases. 
-   • Strong community support for an open-source project. 
-   • Ability to integrate with virtually any API. 

Cons 

-   • Requires technical expertise and a steeper learning curve. 
-   • Smaller market presence and fewer Capterra reviews compared to Make. 
-   • Support might be more community-driven rather than direct vendor support. 
-   • Onboarding and setup can be more involved due to self-hosting. 

## Integrations

### Make

Slack

[

Hubspot

](/tools/hubspot)

Google (e.g., Sheets, Drive)

Microsoft (e.g., Excel, Outlook)

[

Notion

](/tools/notion)[

Monday

](/tools/monday)

Stripe

[

Shopify

](/tools/shopify)

### N8n

No integrations data available 

Make explicitly lists a wide array of popular business applications, indicating a strong ecosystem of pre-built connectors. While N8n's integrations are not explicitly listed, as an open-source platform, it typically boasts a vast library of community-contributed integrations and the flexibility to connect to virtually any API, often requiring more manual setup. Make likely offers a more 'out-of-the-box' integration experience for common tools.

## Migration Considerations

Make N8n 

Migrating from Make to N8n would involve manually recreating workflows. You'd need to identify each step in your Make scenarios, find equivalent nodes or build custom HTTP requests in N8n, and configure triggers and actions. Data transfer would depend on the specific integrations, often requiring export/import or direct API calls. This is a significant manual effort.

N8n Make 

Migrating from N8n to Make would also involve manually rebuilding workflows. You would map N8n nodes to Make modules, leveraging Make's extensive pre-built integrations. While Make's visual builder might simplify the recreation process, custom code or complex logic from N8n might need to be re-engineered using Make's functions or custom HTTP modules. This process is also largely manual.

## Alternatives

Looking for other options? Consider these alternatives:

[

Zapier

](/tools/zapier)[

Integromat (now Make)

](/tools/integromat)[

Microsoft Power Automate

](/tools/microsoft-power-automate)

Last updated: 1/12/2026

Data sourced from official product pages and Capterra reviews

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