n8n vs Make Automation: Complete Guide 2026

n8n and Make (formerly Integromat) are both powerful workflow automation platforms, but they serve fundamentally different audiences. n8n is open-source, self-hostable, and developer-centric, ideal for teams needing custom logic and infrastructure control. Make is a commercial SaaS platform with a graphical, no-code interface designed for business users and non-developers. For small to medium businesses prioritizing ease of use and pre-built app integrations, Make often works better. For developers, data engineers, or organizations requiring full data ownership and extensibility, n8n is the superior choice.

What is n8n?

n8n is an open-source workflow automation tool built in TypeScript. It uses a node-based architecture where each step in a workflow is a reusable node. You can self-host it on your own servers or use n8n.cloud.

Developers favor n8n for its ability to integrate custom JavaScript/Python code, strong API capabilities, and open-source licensing that allows free commercial use. This makes it a powerful choice for those needing robust API automation.

Key features include native integrations with apps like Slack, Google Sheets, and Airtable, plus HTTP nodes for connecting to any REST or SOAP API. The community edition is fully functional, while enterprise add-ons offer enhanced security and scalability. n8n workflows are defined in JSON, making them portable and version-control friendly.

What is Make (formerly Integromat)?

Make is a proprietary, cloud-based automation platform acquired by Celonis in 2022. It focuses on no-code visual automation using a scenario builder where users connect apps with a drag-and-drop interface. Make offers over 1,500 pre-built app integrations, extensive templates, and a structured pricing model based on operational consumption.

It’s designed for business teams, marketers, and operations staff who need to automate processes without writing code. Make handles all infrastructure, updating connectors automatically. Scenarios run on Make’s servers, requiring no self-hosting but limiting data residency and customization options compared to n8n.

Core Differences: n8n vs Make

Understanding the fundamental distinctions between n8n and Make is crucial for selecting the right automation platform. Here’s a concise overview.

n8n vs Make: Detailed Feature Comparison

Let’s dive deeper into specific features to see how n8n and Make stack up against each other in various critical aspects.

Workflow Design and Interface

n8n uses a node-based editor where each node represents an action, trigger, or logic step. You connect nodes with lines, and each node can be configured with code if needed. The interface is functional but less polished than Make’s.

It supports branching, error handling, and complex data transformation using JavaScript, making it powerful for custom or prediction market automation. Make uses a visual scenario builder with modules representing apps or functions. You connect modules with wires, and the interface includes tools for routers, filters, and aggregators.

It’s more intuitive for non-technical users but less flexible for custom logic without using HTTP modules or writing scripts in a separate app.

Integration Capabilities

n8n has native integrations for popular services like GitHub, Shopify, and Notion, plus generic HTTP nodes to connect to any API. Developers can create custom nodes using n8n’s SDK. The open-source model means community contributions continually add new integrations.

Make boasts over 1,500 pre-built integrations, including many niche business apps. Connectors are maintained by Make, ensuring compatibility but limiting customization. Advanced users can use HTTP/SOAP modules or build custom apps with Make’s development tools, but it requires more effort than n8n’s code nodes.

Pricing and Total Cost of Ownership

n8n is free to self-host on your own infrastructure, with costs limited to server expenses. n8n.cloud plans start at $20/month for 10,000 executions, with higher tiers offering more features. Enterprise licensing is available for on-premise deployments with support.

Make uses a consumption-based model where you pay for operations (each step in a scenario). The free plan includes 1,000 operations/month. Paid plans start at $10.59/month for 10,000 operations, scaling up to custom enterprise deals. Overages cost extra, so high-volume workflows can become expensive.

Performance and Scalability

When self-hosted, n8n’s performance depends on your server resources. It can handle high-throughput workflows if deployed on robust infrastructure. n8n.cloud offers auto-scaling and managed performance for a fee.

Make manages all scalability internally. Scenarios run on their infrastructure, with limits based on your plan. High-volume users may hit operation limits or need to optimize scenarios to reduce costs. Make guarantees uptime but offers less control over performance tuning.

Security and Compliance

Self-hosted n8n gives you full control over data security, encryption, and compliance certifications like GDPR or HIPAA. You manage access controls and audit logs. n8n.cloud provides SOC 2 compliance and data encryption, but you still rely on their infrastructure.

Make is SOC 2 and GDPR compliant, with data encrypted in transit and at rest. However, all data passes through their servers, which may not meet strict data residency requirements. Enterprise plans offer better compliance options but still less control than self-hosting n8n.

Use Cases and Ideal Users

Advanced Features: AI, Error Handling, and Extensibility

n8n includes AI nodes for OpenAI, Hugging Face, and other AI services, allowing you to build AI-powered workflows easily. This can be combined with advanced techniques like fine-tuning LLMs with code for specialized applications. Error handling is done through dedicated error triggers and custom logic nodes.

You can extend n8n with custom nodes written in JavaScript or Python, or use community nodes from npm. Make offers AI integration through modules like OpenAI, but with less flexibility than n8n’s code nodes. Error handling is built into the scenario editor with retry options and error routing.

Extensibility is limited to custom apps (using their SDK) or HTTP modules, which require more setup.

Migration and Interoperability

Migrating from Make to n8n is challenging because Make’s scenarios are proprietary. You’ll likely need to rebuild workflows in n8n manually. n8n workflows are exported as JSON, making them easy to version control and migrate between instances.

Moving from n8n to Make is similarly difficult due to code nodes and custom logic that may not have direct equivalents in Make’s modules. Plan for significant rework if switching platforms.

Real-World Examples

Example 1: E-commerce Order Processing

In n8n, you might use a Shopify trigger node, custom JavaScript to validate orders, a Google Sheets node to log data, and an HTTP node to send a Slack alert. Code nodes let you add complex checks easily, a common practice in AI-powered automation for trading bots.

In Make, you’d use a Shopify module, a filter module to check order values, a Google Sheets module, and a Slack module. It’s quicker to set up but harder to add custom validation without another app.

Example 2: Data Synchronization Between CRM and Email Platform

With n8n, you could use HTTP nodes to pull data from a custom CRM API, transform it with JavaScript, and update Mailchimp via its API. This works even if no native connector exists.

Make would require native connectors for both systems or custom HTTP modules. If connectors exist, it’s faster; if not, n8n is more straightforward.

Risks and Limitations

n8n risks include self-hosting complexity, needing maintenance for updates and security, and a smaller set of native integrations than Make. The learning curve is steeper for non-developers.

Make risks include vendor lock-in, limited customization, potential high costs at scale, and less data control. Scenarios can become complex and expensive if not optimized for operation count.