Zapier vs Make vs n8n: Complete Comparison 2026

The automation platform market has evolved significantly in recent years. Three players dominate the space in 2026: Zapier, Make (formerly Integromat), and n8n. Each takes a different approach to connecting tools, automating workflows, and eliminating repetitive tasks.

This comparison covers features, pricing, use cases, and limitations of each platform to help make an informed choice.

Overview of the three platforms

Zapier

Founded in 2011, Zapier is the pioneer and best-known no-code automation tool. Its main strength lies in its integration catalog: over 7,000 connected applications in 2026. The interface is designed to be accessible even without technical skills, with a simple trigger-and-action logic.

Zapier is built for quickly connecting two tools without worrying about the underlying infrastructure. The platform handles everything: hosting, monitoring, error management.

Make

Make, launched as Integromat in 2012 and rebranded in 2022, stands out with its visual scenario interface. Each automation is represented by a diagram where modules connect visually. This approach enables building complex workflows with conditional branches, loops, and data aggregators.

Make offers approximately 1,800 integrations in 2026 — fewer than Zapier — but compensates with superior execution power for advanced scenarios. The visual routing system lets you visualize data flow at every step.

n8n

n8n is the open-source solution of the trio. Available as self-hosted (free) or via n8n Cloud (paid), it offers complete control over data and infrastructure. The visual interface is similar to Make's, with connectable nodes and an explicit data flow.

n8n's key differentiator is flexibility: the ability to add custom JavaScript nodes, integrate with any REST API, and deploy the instance exactly where needed. In 2026, n8n offers around 500 native integrations, but custom nodes more than make up for the smaller number.

Feature comparison

Interface and learning curve

Zapier offers the simplest interface. Creating a "Zap" takes a few clicks: pick a trigger, pick an action, map the fields. No significant learning curve. This simplicity comes at a cost: very complex workflows become hard to maintain in Zapier's linear editor.

Make provides a richer visual interface. Scenarios display as flow diagrams, making multi-step workflows easier to understand. Conditional branches, filters, and loops are represented graphically. The learning curve is steeper, but the clarity gain is real on complex projects.

n8n offers a similar interface to Make, with a canvas editor where nodes connect via wires. The ability to add JavaScript code directly in nodes opens unlimited possibilities. The learning curve is comparable to Make's, with an edge for technical profiles who appreciate the freedom of custom code.

Available integrations

The number of native integrations matters:

• Zapier: over 7,000 applications
• Make: approximately 1,800 applications
• n8n: approximately 500 native integrations

However, the raw number doesn't tell the whole story. Zapier integrates many niche applications, which can make the difference for very specific needs. Make and n8n cover the most widely used tools (CRM, email, storage, databases, development tools) and compensate with custom HTTP requests.

All three platforms support custom connections via REST API. n8n goes further with reusable and shareable custom nodes.

Workflow logic and complexity

Zapier follows a linear logic: trigger → action 1 → action 2 → etc. "Paths" (conditional branches) have been available since 2020, and "Formatter" steps allow data transformation. For complex workflows with multiple conditions, the editor becomes cluttered.

Make excels at handling complexity. Scenarios natively support loops (Iterator), aggregators (Aggregate), multiple filters, branches (Router), and merged paths. The "bundles" system efficiently processes data batches. A Make scenario can be as complex as a program while remaining visually readable.

n8n offers similar capabilities to Make: loops, conditions, branches, sub-workflows (Execute Workflow). n8n's advantage is the ability to insert JavaScript code at any step in the flow, enabling cases impossible with visual logic alone.

Error handling and monitoring

Zapier provides a basic dashboard with execution history and errors. Email alerts are available, and "Fallback" error handling lets you define alternative actions. Monitoring remains basic compared to competitors.

Make offers more advanced monitoring: detailed execution history with data at each step, a configurable "Error Handler" per module, and email/Slack alerts. Visualizing data in transit between modules facilitates debugging.

n8n Cloud offers monitoring comparable to Make. In self-hosted mode, monitoring capabilities depend on the infrastructure (logs, Prometheus, Grafana). The Cloud version includes execution history, alerts, and a configurable error handling system.

Security and compliance

Zapier is SOC 2 Type II certified, HIPAA compliant (Enterprise plan), and GDPR compliant. Data passes through Zapier's servers, which can be a blocker for organizations with strict data residency requirements.

Make is also SOC 2 Type II and GDPR compliant. The platform offers European data residency options (data centers in Germany). Make also holds ISO 27001 certification.

n8n offers the advantage of self-hosting: data never leaves the organization's own infrastructure. This is a major asset for organizations subject to strict regulatory constraints (banking, healthcare, public sector). n8n Cloud is SOC 2 Type II and GDPR compliant, with data centers in Europe and the United States.

Pricing comparison in 2026

Zapier

Zapier pricing is based on the number of tasks (executed actions) per month:

• Free: 100 tasks/month, single-step workflows (1 trigger → 1 action)
• Starter (from $19.99/month): 750 tasks/month, multi-step, 5 Zaps
• Professional (from $69/month): 2,000 tasks/month, Paths, Formatters
• Team (from $299/month): 10,000 tasks/month, team collaboration
• Company (custom pricing): unlimited tasks, SSO, audit logs, dedicated support

Zapier's model can become expensive quickly. A workflow that runs frequently with multiple steps consumes tasks very fast. Lower plans are limited in active Zaps, forcing an upgrade.

Make

Make uses a dual counter: the number of operations and throughput (operations per second):

• Free: 1,000 operations/month, 2 active scenarios
• Core (from $10.59/month): 10,000 operations/month, base throughput
• Pro (from $18.46/month): 10,000 operations/month, higher throughput, execution priority
• Teams (from $20.79/month per member): shared operations, collaboration
• Enterprise (custom pricing): guaranteed SLA, SSO, dedicated support

Make's model is generally more cost-effective than Zapier for equivalent volume. The throughput system (ops/second) affects scenario execution speed, which matters for real-time automations.

n8n

n8n offers two distinct models:

n8n Cloud:

• Starter (from $20/month): 2,500 executions/month, 5 active workflows
• Pro (from $50/month): 10,000 executions/month, environment variables, batch executions
• Enterprise (custom pricing): unlimited executions, SSO, audit logs, SLA

n8n Self-Hosted:

• Community Edition: free, open-source (fair-code license), all core features
• Enterprise Edition (custom pricing): SSO, RBAC, support, enterprise nodes

n8n's self-hosted model is the most cost-effective long term. The cost boils down to infrastructure (server, database). For organizations with technical skills, it's the most affordable solution, especially at high volume.

Use cases by platform

Ideal use cases for Zapier

Zapier excels at simple, repetitive cases:

• Connecting a web form to a CRM (e.g., Typeform to HubSpot)
• Automating transactional emails (Stripe → confirmation email)
• Syncing contacts between two tools (Gmail → CRM)
• Creating Slack notifications from events (new lead, closed ticket)
• Populating a Google Sheet from application data

These workflows are typically short (2-5 steps) and follow linear logic. Zapier handles them reliably with near-instant setup.

Ideal use cases for Make

Make excels when workflow logic goes beyond simple linear chaining:

• Data processing pipelines with multiple transformations and conditions
• Workflows with loops: processing each item in an order individually
• Complex e-commerce integration: order → stock check → invoicing → shipping → notification
• Bidirectional synchronization between two systems with conflict management
• Data aggregation from multiple sources to a dashboard

Make's visual module system makes these workflows readable and maintainable. Data transformation functions (parse JSON, format dates, calculations) are particularly powerful.

Ideal use cases for n8n

n8n is the preferred choice when control and customization are paramount:

• Internal automation requiring complete data control (GDPR, sensitive data)
• Workflows requiring custom code (complex transformations, specific business logic)
• Integrations with internal or private APIs
• Deployment in a private cloud or on-premise environment
• Very high-volume workflows where cost per execution is critical
• Data pipelines with advanced processing steps (machine learning, AI)

n8n's flexibility makes it a versatile tool, suitable for both technical teams and organizations with high security requirements.

Pros and cons

Zapier

Pros:

• Largest integration catalog on the market
• Simplest and most accessible interface
• Proven reliability, high uptime
• Extensive documentation and active community
• Quick setup, even without technical skills

Cons:

• Pricing increases quickly with volume
• Limited for complex workflows (linear logic)
• No self-hosting: data hosted by Zapier
• Task counter penalizes multi-step workflows
• Limited customization compared to Make and n8n

Make

Pros:

• Powerful visual interface for complex workflows
• More competitive pricing than Zapier for equivalent volume
• Good batch data handling (bundles)
• Comprehensive built-in data transformation tools
• European data residency available

Cons:

• Fewer native integrations than Zapier
• Steeper learning curve than Zapier
• No self-hosting (except Enterprise)
• Throughput system (ops/sec) can limit real-time scenarios on lower plans
• Documentation sometimes less comprehensive than Zapier

n8n

Pros:

• Open-source with free self-hosted option
• Complete control over data and infrastructure
• Custom JavaScript code capability
• Very cost-effective at high volume (self-hosted)
• Maximum flexibility for custom integrations
• Active and growing open-source community

Cons:

• Fewer native integrations (around 500)
• Requires technical skills for self-hosting and custom nodes
• Cloud version less mature than Zapier or Make
• Limited support on Community Edition (community forum only)
• Longer setup time for self-hosted deployments

Which one to choose in 2026?

The choice depends on several factors: workflow complexity, execution volume, budget, and technical or regulatory constraints.

Choose Zapier if simplicity and speed of implementation are the priority, with short linear workflows. The vast integration catalog reduces the risk of not finding a needed application. The higher cost is the price for peace of mind.

Choose Make if workflows require conditional logic, loops, or advanced data transformations. Make offers the best power-to-price ratio for intermediate to advanced complexity scenarios without requiring development skills.

Choose n8n if data control is non-negotiable, execution volume is very high, or advanced customizations (JavaScript code) are needed. Self-hosting is a major asset for organizations with regulatory constraints or an existing private cloud environment.

Combining these tools is also possible. Some organizations use Zapier for simple, quick workflows and n8n for critical automations requiring full control. Make can serve as an intermediate platform for complex workflows that don't justify a self-hosted deployment.

FAQ

Is Zapier really more expensive than Make and n8n?

Generally, yes. Zapier's model, based on task count, penalizes multi-step workflows: each action in a Zap counts as a task. Make counts in operations (equivalent but often more favorable) and n8n in workflow executions (one entire workflow = one execution, regardless of step count). At equivalent volume, Make and n8n can cost 2 to 5 times less than Zapier.

Can you migrate from one platform to another easily?

Migration is possible but requires work. None of the three platforms offers an automatic migration tool to a competitor. Workflows must be recreated manually on the target platform. Documenting existing workflows (screenshots, step descriptions) facilitates migration. Simple Zapier workflows are typically quick to recreate on Make or n8n. Complex Make workflows migrate more naturally to n8n due to similar interfaces.

Is n8n self-hosted really free?

n8n's Community Edition is open-source and free, but it requires infrastructure: a server (or VM), PostgreSQL database, and associated maintenance (updates, backups, monitoring). For a small organization without an infrastructure team, the hidden cost of self-hosting can be significant. However, for an organization that already has the infrastructure, n8n self-hosted is effectively free and can process millions of executions without additional costs.

Which platform is the most reliable?

All three platforms offer high reliability in 2026. Zapier has the best historical uptime thanks to its mature infrastructure. Make has significantly improved its reliability in recent years. n8n Cloud offers competitive SLAs, and n8n self-hosted depends on the infrastructure deployed. For critical workflows, implementing retry mechanisms and monitoring on all three platforms is recommended, regardless of the final choice.

Make or n8n for a complex workflow?

Make and n8n both offer advanced capabilities for complex workflows. Make has the advantage of broader native integration and a more polished interface. n8n has the advantage of custom JavaScript code and self-hosting. If the workflow requires custom API integrations or very specific data processing, n8n is preferable. If the workflow relies primarily on native integrations with conditional logic and loops, Make offers a smoother experience and shorter implementation time.