Zapier and Make solve the same problem, connecting apps with automated workflows, with different models. Zapier is a linear list of steps with the largest app catalogue and the shallowest learning curve; it fits simple trigger-then-do automations that a non-technical team can build and maintain. Make is a visual canvas where workflows branch, loop and reshape data, and it fits automations with real logic. Zapier bills per task, Make per operation, and the same workflow can cost very different amounts under each. The third option neither vendor page mentions is a self-hosted tool, where the workflow runs on your own server and the meter disappears.
Both vendors publish a comparison page, and both pages conclude that their own product wins. The independent comparisons mostly restate feature tables. What a person choosing actually needs is the handful of differences that change the decision, a way to test them against the workflows they are going to build, and an honest account of the option where the workflows run on infrastructure they control.
Table of contents
- The one difference that decides most cases
- The differences that matter after that
- How to test the decision in an afternoon
- The third option: run the workflows yourself
- Choosing between all three
- How this fits the rest of the stack
- FAQ
The one difference that decides most cases
Zapier’s editor is a list. A trigger at the top, actions below it, each step feeding the next. Branching exists but is bolted on, with paths as a feature rather than a native shape. Make’s editor is a canvas: modules connected by lines, routers that split the flow, iterators that loop over arrays, aggregators that collect results. The data flowing along each line is visible.
That is not a cosmetic difference. It decides who can build and who can maintain. A linear list can be built by anyone who can describe the automation in a sentence. A canvas rewards people who think in flows, and it lets them build things the list cannot express without contortions: process every line item in an order, retry a failed call three times, route by three conditions.
So the first question is not which tool is better. It is whether your workflows are sentences or flowcharts. Most small-business automations are sentences. Most operations automations with any volume become flowcharts within a year.
The differences that matter after that
- App catalogue. Zapier’s is the largest by a wide margin, and for long-tail SaaS tools it is often the only one with a native integration. Make covers the mainstream well and offers a generic HTTP module for the rest, which is fine if someone on the team can read API docs.
- Data handling. Make treats arrays, objects and iteration as first-class. Zapier flattens data into fields, and working with a list of items inside a single run is where its model strains.
- Error handling. Make has explicit error routes and retry directives per module. Zapier retries on its own schedule and surfaces failures in a task history; recovering a half-completed run is manual.
- Pricing unit. Zapier counts tasks, which are actions that succeed, with triggers and filters not counted. Make counts operations, which are every module execution including triggers and routers. A ten-step workflow with a loop over twenty items is roughly ten tasks on Zapier and two hundred operations on Make. Neither is universally cheaper; model your actual workflows.
- Execution timing. Both poll on an interval for most triggers, with instant triggers via webhooks where the app supports them. Polling interval varies by plan on both. If a workflow must react within seconds, check that its trigger is instant, not polled.
The catalogue and the pricing unit are the two most people get wrong: they pick on features and then discover the one app they needed is missing, or the bill is triple the estimate because a loop multiplied the operations.
How to test the decision in an afternoon
Do not compare on the feature tables. Build the same two workflows in both free tiers.
- Your simplest real workflow. Form submitted, row added to a sheet, message posted. Note how long it took and whether the non-technical person on the team could edit it.
- Your most complex real workflow. The one with a loop, a condition, and an API call to a tool with no native integration. Note whether the tool could express it at all, and how many tasks or operations one run consumed.
- Multiply. Take the operations or tasks from step 2, multiply by the runs per month, and look up the plan tier that covers it on each vendor’s pricing page. That number, not the entry price, is the comparison.
If step 2 could not be built in Zapier, the decision is made. If both could build it and the monthly figure is close, Zapier’s catalogue and simplicity usually win for a small team; Make’s model wins for an operations team that will build dozens of these.
The third option: run the workflows yourself
Both comparison pages share an assumption: the workflows run on the vendor’s infrastructure and you pay per execution. That is convenient, and it is also the reason automation bills grow with success. A workflow that runs ten thousand times a month costs the same to build as one that runs ten times, but not the same to run.
Self-hosted automation tools break that link. n8n is the established one: a visual editor in the Make style, with nodes, branching, loops and a code node for anything the built-in nodes cannot do, running as a service you deploy. The meter is gone. Ten thousand runs cost the same as ten, because they are running on a server you already pay for.
The trade is the server. Self-hosting n8n means keeping a process up, a database beside it for workflow state, TLS on the editor, backups and upgrades. That is the same maintenance list as any self-hosted application, and it is the reason most teams that want n8n end up on a managed instance rather than a VPS.
On RunxBuild, n8n is deployed as a managed tool: a create form, a plan, a custom domain, environment variables and logs, with autoscaling and a managed Postgres beside it for state. A Basic plan is $6 a month at 0.5 vCPU, which covers a small team’s workflows at any run count. There are no per-execution charges because there is no meter, and the workflows are portable JSON you can export if you ever leave.
Choosing between all three
- Zapier when the team is non-technical, the workflows are linear, and the app you need has an integration only there. Accept the per-task bill as the price of not thinking about infrastructure.
- Make when the workflows branch and loop, someone on the team thinks in flows, and the operation count at your volume prices out acceptably.
- Self-hosted n8n when volume is high enough that per-execution pricing hurts, when workflows touch internal systems that should not be reachable from a vendor’s cloud, or when the team already runs services and one more is not a burden.
- A managed n8n when you want the third case without the server. Same tool, same portability, no maintenance list.
Polling every few seconds is not real-time; it is a nervous refresh button. Whichever tool you pick, build the time-sensitive workflows on webhook triggers, because that is the one thing pricing tiers cannot fix.
How this fits the rest of the stack
The Make versus Zapier question has a real answer for a given team, and an afternoon with both free tiers finds it faster than any comparison page. If the answer turns out to be neither, because the bill scales with success or the data should not leave your network, the self-hosted route is a managed n8n instance beside a small database. The RunxBuild hosting calculator shows what that pair costs at a fixed monthly figure so you can set it against the per-task estimate, and the dashboard is where the instance gets created. Services on RunxBuild covers the deploy path for anything custom that the workflows call.
Useful related references:
- n8n vs Make: Where the Complexity Goes
- Zapier Alternatives: What Changes When Automation Runs on Your Own Infrastructure
- No-Code Automation Platform: Where the Automation Actually Runs
- Services on RunxBuild
FAQ
Is Make better than Zapier?
For workflows that branch, loop and reshape data, Make’s canvas expresses them more naturally. For linear automations built by non-technical people, and for apps that only have a Zapier integration, Zapier is simpler. Neither is better in general; build your most complex real workflow in both and compare.
Which is cheaper, Make or Zapier?
It depends on the workflow shape. Zapier counts tasks, which are successful actions; Make counts operations, which include triggers, routers and every iteration of a loop. A looping workflow can consume many more operations than tasks, so estimate from your actual workflows rather than from entry prices.
Can I move workflows from Zapier to Make?
Not directly. Neither tool imports the other’s format, so migration is rebuilding each workflow. Document the trigger, the steps and the data mapping for each before starting, and rebuild the highest-volume ones first.
What is the self-hosted alternative to Make and Zapier?
n8n, which offers a visual editor similar to Make and runs as a service you deploy. There is no per-execution pricing; you pay for the server. It can be self-hosted on a VPS or run as a managed instance on a platform that handles the maintenance.
Do Make and Zapier run workflows in real time?
Only for triggers that use webhooks. Most app triggers poll on an interval that depends on the plan, from a minute to fifteen minutes. If a workflow must react immediately, check that its trigger is instant before choosing the tool.