App coverage
Do native integrations support the exact triggers and actions you need—not merely the app logo?
All three platforms can run reliable business workflows. The right choice depends less on feature-count headlines and more on who will own the system, how complex the logic is, and how usage will grow.
Choose Zapier when speed, a broad app catalog, and nontechnical ownership matter most. Consider Make when visual branching and data transformation are central. Consider n8n when a technical owner needs deeper control, code, or self-hosting. Validate your exact apps, volume, permissions, and support model before committing.
Zapier
Fast adoption
A broad integration catalog and approachable workflow model.
Make
Visual logic
Strong visual mapping for branching and data-heavy scenarios.
n8n
Technical control
Low-code flexibility with cloud and self-hosted options.
Decision
Ownership first
Choose the platform your team can operate after launch.
Working framework
Do not begin with a generic feature matrix. Test one real workflow against these constraints.
Do native integrations support the exact triggers and actions you need—not merely the app logo?
How much branching, transformation, iteration, state, or custom code is required?
How do tasks, credits, or executions change as volume and workflow steps grow?
Can the person responsible inspect failures, update credentials, and understand the workflow?
What roles, logs, retention, deployment, data location, and access controls are required?
Zapier is often the quickest route when a small team wants recognizable triggers and actions across a wide range of business applications. Its current platform uses task-based usage across workflows and related orchestration features; successful action steps generally consume tasks, while some built-in tools are treated differently.
That model is easy to start with, but multi-step and AI-heavy workflows should be estimated using the current task rules rather than a simple run count. Zapier is a strong fit when the business owner or operations team needs to understand the automation without maintaining infrastructure.
Make presents workflows as visual scenarios, which can make branching, iteration, and data mapping easier to reason about for a technically curious operations owner. Make currently describes credits as its billing unit; many standard operations use a fixed credit amount, while some AI and advanced features vary with usage.
The visual canvas is useful, but a large scenario can still become difficult to operate without naming, modularity, error handlers, and documentation. Evaluate the actual credit pattern of a representative workflow, including bundles and AI usage.
n8n supports cloud deployment and self-hosting, custom logic, and workflows that suit teams comfortable owning a more technical system. Its current cloud pricing describes usage in executions: one full workflow run counts as an execution even when the workflow includes many steps.
Self-hosting can increase control over infrastructure and data location, but it also transfers responsibility for upgrades, backups, security, availability, and incident response. That is an operating choice, not merely a pricing choice.
Platform pricing and features change. The links below are the source of truth; this guide explains the decision framework rather than freezing a price table.
Side-by-side
Use this as a decision aid, then validate your specific workflow, systems, and operating constraints.
| Dimension | Zapier | Make | n8n |
|---|---|---|---|
| Typical owner | Business or operations user | Technical operations user | Technical operator or developer |
| Workflow model | Step-based workflows | Visual scenarios and modules | Node-based low-code workflows |
| Current usage unit | Tasks | Credits, related to operations and AI usage | Workflow executions on cloud plans |
| Strong starting point | Fast app-to-app workflows | Branching and data transformation | Custom logic and controlled infrastructure |
| Watch carefully | Task growth across actions and AI steps | Credits across bundles and dynamic AI usage | Technical ownership and hosting responsibility |
Build or diagram the same representative workflow in each serious candidate.
Primary sources
Pricing, limits, and product features change. These official pages are the source of truth for a live buying decision.
Continue from here
Move from understanding the problem to evaluating the business case or scoping a concrete implementation.
FAQ
There is no stable universal answer. Cost depends on run volume, steps, data bundles, AI usage, plan features, and the human effort required to operate the system. Model one real workflow using current vendor pricing.
Yes, but workflows are not portable with one click. Good documentation, platform-neutral process maps, named fields, and separate business rules reduce migration effort.
Self-hosting gives you more infrastructure control, but privacy depends on configuration, access, logging, backups, model providers, and operational discipline. It also makes your team responsible for the host.
No. The platform is selected after the workflow, ownership model, integrations, and operating requirements are clear.
Describe the trigger, tools, repeated work, and where the handoff breaks. You will get a direct view on feasibility and the most sensible next step.
Request a workflow audit