Make vs N8n

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

    Winner
    M

    Make

    0.0
    VS
    N

    N8n

    0.0

    Score Breakdown

    Features
    9.07.5
    Pricing
    8.09.0
    Ease of Use
    8.57.0
    Support
    8.57.0
    Integrations
    9.08.0
    MakeN8n

    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
    MakeN8n
    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
    Google (e.g., Sheets, Drive)
    Microsoft (e.g., Excel, Outlook)
    Notion
    Monday
    Stripe
    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

    MakeN8n

    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.

    N8nMake

    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:

    Last updated: 1/12/2026

    Data sourced from official product pages and Capterra reviews

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