Make's pricing looks attractive in head-to-head plan comparisons, offering thousands of credits for a low monthly rate. Its free plan offers 1,000 credits/month and two active scenarios, with a 15-minute minimum interval between runs. Core starts at $12/month (billed annually) for 10,000 credits, unlimited active scenarios, and API access. Pro runs $21/month for the same 10,000 credits plus full-text log search and priority execution when things get busy, and Teams is $38/month once you need shared scenario templates and team roles. 

But despite this lower headline rate, you might not actually be saving money. Here's why:

• Every step in your Make workflows counts against your budget, including internal logic, polling triggers, and even failed runs.

• Testing your workflows also consumes credits.

• Most actions use one credit, but some actions use more based on file size, run time, or AI usage.

As a consequence, tracking, diagnosing, and optimizing credit usage imposes a hidden cost. Make's support forum is full of users trying to figure out why their workflows are using more credits than expected, and discussing workaround strategies (like using external cron jobs) to avoid burning through credits unnecessarily.

By contrast, Zapier's task-based model is transparent and easy to understand. You're charged only for "work" actions, with unlimited use of platform features like filtering, formatting, looping, and errors.

Let's look at an example. A Make workflow that polls an API every 5 minutes burns 20 credits per hour, whether or not it finds new data; the same workflow in Zapier could run on a webhook trigger (free) and filter (free), using zero tasks until there's work to do.

From an enterprise perspective, Zapier's model is easier to forecast for budgeting and procurement. It also requires less overhead: you don't need consultants to build and maintain complex workflows, and you won't burden your technical staff with cost management tasks (like optimizing workflows to use fewer credits). If you ever do go over your Zapier task limit, you have the option to pay for a few more tasks incrementally using pay-per-task billing rather than upgrading your plan.

And unlike Make, Zapier's plans bundle databases, forms, and AI orchestration into the price, so you're paying for a full system your whole team can use, not just a workflow builder.

Zapier and Make are both easy to start using, but there's more hand-holding in Zapier.

Signing up for Zapier takes a couple of minutes and doesn't require a credit card. From your dashboard, you click Create Zap and land in a guided, linear editor: pick a trigger app and event, connect your account through a standard sign-in prompt, and test the trigger against a real sample pulled straight from your own account (you're not typing in fake test values; Zapier finds one for you). Add an action app the same way, map in the fields you want from your trigger data, test that step, and publish.

For a simple, two-step automation, the whole process usually takes around 15 to 20 minutes, and most people don't need to read documentation to get there. Zapier Copilot can shortcut even that: describe what you want in plain language, and it builds the trigger-to-action structure for you to review and connect.

Make's version of that same journey starts on a blank canvas instead of a guided sequence. You click a large plus icon in the center of the screen, search for your trigger app, and add it as a module, then authenticate the connection. From there, you add action modules by clicking the small connector points that appear on the canvas itself, wiring the workflow together visually rather than moving through a fixed set of steps. You test with a manual "Run once," then set a scheduling interval and flip the scenario to ON.

None of that is harder, exactly, but the canvas shows you everything at once instead of walking you through it one decision at a time, so first-time builders spend time just orienting themselves before building their first module. That upfront view does pay off as a workflow grows, though: once a scenario has several branches, seeing every module and connection laid out at once makes the logic easy to trace.

Independent hands-on comparisons consistently land in the same range: a first Make scenario tends to take 30 to 60 minutes to get running, against well under 20 minutes for the equivalent build in Zapier. And as things get more complex, the gap gets even bigger.

Zapier connects to 9,000+ apps, while Make integrates with around 3,500.

If you're connecting the usual suspects—like Salesforce, Slack, or Google Sheets—you'll find what you need on either app. But keep in mind that a large chunk of Make's integrations—including popular apps like Kajabi, AirOps, and Lemon Squeezy—are built and maintained by community members or independent developers, making them less reliable for business-critical workflows. (Confusingly, there are often rival community-built connectors for the same app, with no way to know which one will be more reliable.)

And if you're searching for less prominent apps on Make, it doesn't take long before you start getting "Sorry, app not found" messages. Business intelligence tools like Fullstory, Microsoft Clarity, and Crazy Egg are all missing, for example.

If your organization only relies on a handful of apps, Zapier's edge on integrations might not have a practical impact for you. But if you need to connect with industry-specific platforms or niche apps, Zapier makes it much more likely you'll find what you need. And it means you'll have fewer employees finding ungoverned workarounds.

Zapier has always been straightforward to use, even for non-technical employees. With Zapier Copilot, it's even easier: just tell Zapier what you want to automate, and the rest happens automatically.

Why does accessibility matter? It means non-technical users can build sophisticated automations in minutes, from marketing teams automating lead nurturing to sales teams connecting CRM data across multiple systems.

"I can get someone who's only been here for a few weeks to set up an automation in Zapier, that's huge," says Korey Marciniak, Senior Manager of Customer Support Strategy and Operations at Okta. "Zapier makes it to where I can just go in and change one small thing when something changes versus opening a ticket and waiting for engineering support."

Make's visual builder, while powerful, comes with a steeper learning curve. Before attempting to build a custom scenario, Make's support team suggests beginners should complete the ~19 hours of coursework in Make Academy—or just hire an expensive consultant to do it. Maia, Make's AI cobuilder, is still in public beta. The fact that it's taken this long to implement an AI cobuilder is evidence that Make is behind the curve on AI building.

Zapier is much more advanced in terms of AI capabilities. For starters, it gives you multiple tools for taking agentic action. You can build what you need with:

• Zapier's visual workflow builder, adding AI steps when needed

• A chatbot (like ChatGPT or Claude) using Zapier MCP

• A code editor (like Cursor or Devin Desktop) using the Zapier SDK

• A terminal using the CLI

Want your agent to send a message to your team's Slack channel, then log it in Google Sheets? Just describe what you need, and Zapier connects the app endpoints securely and automatically. Whether you use a chat app, a code editor, your terminal, or the Zapier web app, all activities flow through the same governed connections, and your IT department gets full visibility over everything that's happening.

Make offers an MCP too, but it's less flexible. Unlike Zapier—which lets you take agentic action freely across 9,000+ connected apps—with Make, you need to design and build your automation first, then call it in an agent.

Zapier's approach leaves far more agentic activity under the umbrella of IT observability. With 9,000+ app connections and the ability to build the agents you need instantly (rather than having to design workflows first), there's no incentive for users to hack together their own shadow AI solution with API calls and ungoverned credentials.

Both platforms are SOC 2 Type II, SOC 3, and GDPR compliant. Zapier adds CCPA compliance; Make's Enterprise plan runs on ISO 27001-certified infrastructure, though that certification is scoped to Make's separately managed Enterprise environment, not its standard multi-tenant cloud. 

Zapier also stands out with more built-in governance features—like centralized admin controls, audit logs, managed permissions, and AI Guardrails by Zapier—making it easier for IT teams to maintain oversight as automation expands across departments. 

For example, you can restrict certain apps to admins only, decide which domains people can log in with, require approval before publishing sensitive automations, and get notified whenever someone shares a connection more broadly than they should. You can also see every Zap, connection, and user in your business in the Admin Center, along with organization-wide activity.

Make's most interesting governance feature is Grid, which automatically builds a live dependency map of every scenario, connection, and agent in your organization. At a glance, you get a visual sense of how everything connects and where your data is flowing.

But even taking Grid into account, you're getting less governance than you would with Zapier. You can't maintain app allowlists or blocklists or require workflow approvals. And IT teams have fewer guardrails available: they can't restrict builders to pre-approved apps or define action-level permissions, like allowing the marketing team to read HubSpot records but not overwrite anything.

Make was historically the "power user" favorite thanks to unlimited Routers, robust Iterators, and powerful Aggregators for data merging. Its HTTP module is flexible for calling APIs directly, and its visual map makes complex multi-branch logic easy to see at a glance.

But Zapier has invested heavily in closing that gap, adding Looping, Paths, Sub-Zaps, and Custom Actions (with AI-assisted API setup), plus the ability to create complex custom-coded automations using Code by Zapier. With agentic capabilities built in, you can add AI anywhere into your workflows to create dynamic systems that adapt to your workflow. 

With Zapier, power users can still tap advanced features—without alienating the marketing manager or HR lead who needs to adjust a workflow.

Zapier helps fast-growing teams like ClickUp, Remote, and Miro scale automation across their organizations, reduce hiring costs, and free up thousands of hours of employee time each year. 3.4 million companies use Zapier. Make has around a tenth as many customers and fewer enterprise users, which means it simply hasn't been stress-tested at the same scale.

Here's how Zapier is designed for enterprise workflows:

• Outage detection: Zapier keeps your data safe if one of your connected apps has downtime.

• Intelligent throttling: Never lose data, even when traffic spikes.

• API change management: When APIs update, Zapier manages those changes automatically so your workflows stay intact.

• Data checkpoints: Built-in guardrails ensure automations finish what they start.

• Horizontal scalability: Zapier can manage spikes in workflow volume without slowing down.

As you scale, Zapier's ease of use is another asset. Because Zapier's automations require less technical knowledge, it's faster to roll them out across your organization and less resource-intensive to maintain them. In Make, deeply nested scenarios can be harder to debug or modify. Zapier's straightforward design can translate to lower ongoing maintenance costs and fewer specialized personnel needed to manage automations.