Zapier vs Make (Formerly Integromat): Which Automation Tool Wins in 2026?

Zapier is the easier and broader choice: it connects to more apps and gets non-technical teams to a working automation fastest. Make, the platform formerly known as Integromat, is the stronger pick for branching logic, bulk data handling and cost control at volume, but it asks more of whoever builds the workflow. Neither wins everywhere, and the right answer depends on how your workflows are shaped and how many steps they run each month.

This comparison is based on each vendor's documentation, pricing pages and published comparisons as of early October 2026, not on hands-on testing by BrightSEOTools. Prices and limits change often, so every figure below is time-stamped. Confirm them on the Zapier pricing page and the Make pricing page before you commit.

Quick Verdict: Which One Should You Pick?

Choose Zapier if your team is mostly non-technical, your workflows are linear, or you depend on niche apps. Choose Make if your workflows branch, loop through lists of records, or run at volumes where per-step costs add up.

Is Make the Same Thing as Integromat?

Yes. Integromat rebranded as Make in 2022; it is the same automation platform with the same visual scenario builder, now with AI features layered on top, as Zapier's own comparison page also notes. If you built automations under the Integromat name, they carry over, and older tutorials still mostly apply even though some menu labels have changed.

The vocabulary differs between the two products. Zapier calls a workflow a Zap, made of one trigger and one or more actions. Make calls it a scenario, made of modules connected on a canvas.

How Do Zaps and Scenarios Differ in Practice?

A Zap is built in a guided, top-to-bottom editor: pick a trigger app, test it against real sample data, add an action, map fields, publish. A Make scenario starts on a blank canvas where you place modules and wire them together, then run it once to test.

For a simple "new form entry, then add a row, then send a message" flow, Zapier's guided path is quicker and needs less orientation. As logic grows, the canvas pays off: when a scenario has several branches, seeing every module and connection at once makes the logic easier to trace. Zapier's comparison concedes this point while arguing its own Paths, looping and sub-Zaps have closed much of the gap.

If you are new to the category, our guide to the best no-code automation platforms puts both tools in the context of the wider market.

How Does Pricing Actually Compare?

The two platforms meter usage differently, so sticker prices alone mislead. Zapier counts tasks. Make counts credits. A task is not a credit, and the gap between them matters more than the monthly fee.

Plans at a Glance

Time-stamped as of early October 2026, annual billing unless noted. These are starting prices at the entry usage tier; higher usage tiers on both platforms cost more, and monthly billing costs more than annual. Check each pricing page for current figures.

How Each Meter Works

On Zapier, only successful actions count toward usage. Per the Zapier Help Center, triggers, filters, Paths and several built-in tools such as Formatter, Tables and Forms do not use tasks. AI-related calls can: a help article on task measurement lists each successful Zapier MCP tool call as two tasks.

On Make, credits replaced the older term "operations." For most apps, one operation equals one credit. Per Make's operations documentation, a trigger module counts one operation each time it checks for data, however many records it returns, and every later module runs once per record. Built-in AI features can consume credits based on tokens, which makes AI-heavy scenarios harder to forecast.

Where Each Model Gets Expensive

Zapier gets expensive when a workflow has many billable actions per run, because each successful action is one task. A four-action Zap that runs 500 times uses 2,000 tasks, well beyond the 750-task entry tier.

Make gets expensive in three situations: polling triggers that check often, scenarios that process many records through many modules, and AI modules billed by token. A trigger that checks every 15 minutes runs 96 times a day, roughly 2,880 credits in a 30-day month before any record is processed. The same arithmetic on Zapier costs zero tasks, since polling is free.

Make also has levers Zapier lacks. Make's documentation shows a text aggregator cutting a run from 11 operations to 3 by combining ten emails into one. Make's docs also say error handlers do not consume operations, while Zapier's comparison claims that testing and failed steps do draw credits. Both can be true at once, so run your own scenario once and read its credit use before scaling.

Zapier's side of the argument is on its comparison page, and Make's is in its Make vs Zapier post. Each vendor argues its own pricing model is cheaper, which is why the arithmetic above beats either pitch.

Cheat Sheet: Turning Volume Into a Plan

Multiply billable steps per run by runs per month, then match the total to the table. This is general guidance based on the plan allowances above, not a fixed rule.

If you want to sanity-check whether automation savings justify a subscription, our ROI calculator takes your gain, your cost and an optional time period, then returns ROI percentage, profit or loss, and annualized ROI. It does not model task or credit usage, so do that step first.

Which Platform Connects to More Apps?

Zapier does, by a wide margin on paper. Its developer platform describes an ecosystem of 8,000 integrations, and its comparison page now cites 9,000+ app connections. Make is commonly listed at 3,000+ apps, while Zapier's comparison puts it at roughly 3,500.

Treat these as vendor-reported counts, since "app" is not a standardized unit. Zapier's page argues that many Make connectors are community-maintained and that niche apps are more likely to be missing there. Whichever you pick, confirm that every app you need exists there and supports the triggers and actions you want.

Make's counterpoint is depth: it offers an HTTP module and webhook options for calling APIs directly, which helps when an app has no ready-made connector. Zapier has comparable options through webhooks and Code steps on paid plans. For developers who want to wire up model APIs themselves, our guides to integrating the OpenAI API and using the Claude API in a web application show what that looks like in code.

Who Handles Complex Logic and Errors Better?

Make has the more granular toolkit. Routers split data into multiple paths, iterators break lists into individual items, and aggregators merge items back together. That combination suits workflows such as processing every line item in an order or batching rows before one write.

Error handling is where Make is most explicit. Its help documentation describes five error handlers: Skip, Retry, Resume, Commit and Rollback. A Resume handler can substitute a value for missing data and let the run continue, while Retry stores the failed bundle and tries again.

Zapier is not standing still. Its comparison page lists Paths, looping, sub-Zaps and Code by Zapier, and it gives you run history and replay for debugging. For most linear workflows, that is enough. The gap shows up in deeply nested scenarios and bulk record processing.

Two practical tips apply to both tools. First, validate the JSON you send to webhooks and HTTP modules; our JSON validator checks pasted or uploaded JSON for syntax errors, and the JSON formatter makes nested payloads readable. Second, use a proper API client when debugging a stubborn endpoint; our roundup of API testing tools for developers covers options.

How Do the Two Approach AI Agents and MCP?

Both now sell more than app-to-app plumbing. Each offers AI agents and a Model Context Protocol (MCP) server, which lets AI assistants call automations as tools.

On Zapier's side, Copilot builds Zaps from a plain-language description, Agents handle tasks that do not fit a fixed sequence, and Zapier MCP exposes connected app actions to AI clients. Per Zapier's own comparison, an AI tool connected through MCP can act across connected apps without a workflow built first.

Make offers AI Agents, an MCP server that turns scenarios into callable tools, and a visual map of your automations called Make Grid. Zapier's comparison says Make's agents can only run scenarios you have already built and describes Maia, Make's AI builder, as still in public beta.

Cost behavior differs too. Zapier's AI steps and MCP calls draw tasks, and Make's built-in AI draws token-based credits. If you are weighing which model to plug in, see our comparison of ChatGPT, Claude and Gemini and our tips on reducing AI API costs.

Readers new to the topic can start with what AI agents are, how agents differ from chatbots, and how to use agents to automate a business. Teams that outgrow no-code tools may prefer the AI agent frameworks covered for developers, the broader list of AI agent builder platforms, or the free AI agent builders. For the MCP side specifically, see our guide to MCP servers for SEO work.

What About Security, Teams, and Governance?

Per Zapier's comparison, both platforms hold SOC 2 Type II, SOC 3 and GDPR compliance, and Zapier adds CCPA. The same page says Zapier offers SAML SSO and audit logs from its Team plan, while Make provides team roles from its Teams plan and adds custom SSO at Enterprise. Check each vendor's trust center for the current certification list.

For a larger organization, ask three questions: who can build, who can approve, and who can see every automation? Zapier leans on admin controls and restrictions. Make leans on Grid for visibility. Neither replaces an internal review of which apps may touch customer data.

How to Choose: A Quick-Reference Table

Common Mistakes When Choosing Between Them

Comparing plan prices instead of metered usage. Ten thousand credits and 750 tasks are not equivalent. Estimate billable steps per run first.

Ignoring trigger behavior. A polling trigger costs nothing on Zapier but uses credits on Make every time it checks, so prefer instant webhooks where an app supports them.

Treating app counts as the deciding factor. The only count that matters is whether your five or ten apps exist, with the specific triggers and actions you need.

Assuming one tool suits every team. The right choice depends on who maintains the workflow. A marketing team with no technical staff will probably do better on Zapier, while an operations team comfortable mapping fields and conditions may get more from Make. A solo freelancer with five Zaps and a platform team running hundreds of scenarios are different buyers.

Skipping a pilot. Build your most complex real workflow on each free plan. Free plans exist to test exactly this.

Can You Use Both, and What Else Is Worth a Look?

Many teams do. A common split uses Zapier for simple notifications and Make for data-heavy flows, and the two can trigger each other through webhooks. The cost is two systems to maintain, so only split if the savings or capability clearly justify it.

If neither fits, browse our pages on Zapier alternatives and Make alternatives, the wider comparison of workflow automation platforms, or our list of AI workflow automation tools. Open-source n8n is the alternative most often named alongside these two. Lighter options appear in our lists of free AI workflow builders, free AI task automation tools, free AI tools to automate work and free AI automation tools. Browse the full alternatives category for more.

Common use cases connect to other categories we cover, including email marketing platforms, marketing automation tools for small business, CRM software for small businesses, social media scheduling tools, lead generation software, and SEO reporting dashboards. Teams storing automation data in a database can also read our Airtable review, and smaller teams may like our roundup of free AI tools for small businesses.

Can BrightSEOTools Replace a Dedicated Automation Platform?

No. BrightSEOTools does not build or run automations: it has no triggers, no app connections and no scheduling. What it offers are utilities that sit around an automation project. The JSON validator and JSON formatter help when you are preparing payloads for webhooks, and the ROI calculator helps estimate whether the time you save justifies the subscription. For actually moving data between apps, use Zapier, Make or another platform.

FAQs

Do both platforms have a free plan?

Yes. Zapier's free plan includes 100 tasks per month and two-step Zaps. Make's free plan includes 1,000 credits per month, two active scenarios and a 15-minute minimum interval between runs. These allowances are as of early October 2026.

What happens when you hit your limit?

On Zapier, if pay-per-task billing is not enabled, the Help Center says new Zap runs are held until your billing cycle resets, and Zapier emails you at 80% and 100% of your limit. On Make, credit documentation says you can upgrade, buy extra credits or enable automatic purchase of extra credits.

Is Make always cheaper than Zapier?

No. Make's entry plan is cheaper and includes far more units, but it meters trigger checks and every module run. Zapier does not charge for triggers or filters. Cost depends on your workflow's shape, so model your real workflow on both.

Can I move my workflows from one platform to the other?

Both vendors describe it as rebuilding. Zapier's comparison page says migrating from Make means recreating each scenario as a Zap, reconnecting apps and testing before you retire the original. Expect the same in reverse, and plan for extra time where you rely on HTTP modules or custom logic.

Does Zapier support branching and loops?

Yes. Zapier lists Paths for branching, looping, sub-Zaps and Code by Zapier for custom logic. Make's routers, iterators and aggregators are generally regarded as more flexible for data-heavy work, but Zapier covers most common branching needs.

Which one is better for connecting AI assistants?

Both offer MCP support. Zapier MCP exposes actions across connected apps to AI clients, while Make's MCP server exposes your existing scenarios as tools. Which is better depends on whether you want assistants calling individual app actions or finished workflows.

Are tasks and credits the same thing?

No. A Zapier task is one successful action step, and triggers and filters are free. A Make credit usually equals one module operation, trigger checks included, with AI features billed differently. Never compare raw counts directly.