Zapier vs Make: Feature Comparison, Pricing, and the Right Choice for Your Workflow in 2026

Zapier suits non-technical teams needing fast no-code automation across 8,000+ apps. Make suits SMBs and technical operators needing visual multi-step workflow logic at approximately 60% lower cost. Both platforms automate workflows between apps without code, but their architectures, pricing models, and complexity ceilings are fundamentally different.

For related reading, see Zapier Google Sheets Integration: Setup Guide, Lookup Rows, Webhooks, and Shopify Conversions.

What Is the Difference Between Zapier and Make?

Zapier offers a simple, linear, step-by-step builder ideal for beginners and quick automations. Make provides a powerful, visual, drag-and-drop canvas that excels at handling complex, multi-step workflows. Zapier connects approximately 8,000+ apps; Make connects approximately 2,400+ apps. Zapier is linear and form-based; Make uses a visual canvas with routers, loops, and advanced logic.

The core distinction is workflow shape. Zapier builds automations as a straight line: one trigger, then a sequence of actions. Make builds automations as a visual diagram where every data route is visible simultaneously. This structural difference defines which platform suits which team.

What Was Integromat? Is Make the Same as Integromat?

Make is the same platform as Integromat. Make was formerly known as Integromat, and the two are different platforms built by different companies from Zapier, though they solve the same problem. Integromat was rebranded as Make in 2022. All Integromat scenarios migrated automatically. Any Zapier vs Integromat comparison found in older articles refers to the same Zapier vs Make debate today.

How Do Zapier and Make Compare on App Integrations?

Zapier is the largest no-code automation platform, with 8,000+ app integrations and a per-task pricing model built for non-technical operators. Make offers approximately 2,400+ app integrations. Both platforms support webhooks, extending connectivity beyond the native library.

The integration gap matters for teams using niche or newer SaaS tools. If your stack includes industry-specific platforms, Zapier is more likely to have a native connector.

Make offers fewer integrations than Zapier but often provides deeper, more granular actions and triggers within each supported app. Where Zapier may list 5 to 10 triggers per app, Make frequently exposes more detailed control over individual API calls.

How Do Zapier and Make Compare on Workflow Builder?

Zapier uses a simple, linear structure where one trigger leads to a series of follow-up actions. This format works well for straightforward automations with few variables. Make supports more complex workflows that include conditional logic, branching paths, and repeated steps.

Zapier's builder is text-based and form-driven. A new user builds a working automation in minutes. Make's visual canvas requires 1 to 3 hours of onboarding before complex scenarios feel intuitive. According to G2 reviewers, Make is a fantastic platform for building automations with significantly more features than most competitors. The tradeoff is that this power comes with a steeper learning curve than Zapier's interface.

What Is the Pricing Difference Between Zapier and Make?

Zapier uses a per-task model. Each action step that successfully runs counts as one task. A 5-step Zap triggered 1,000 times consumes 5,000 tasks.

Make uses an operations (credit) model. Each module execution counts as one operation, including the trigger. Make also counts polling triggers as operations, even when no new data is found.

At equivalent usage volumes, Make costs approximately 60% less than Zapier. At 50,000 tasks per month, Zapier's Team plan runs approximately $299/month.

Which Has the Better Free Plan, Zapier or Make?

Make's free plan is significantly more generous. Make provides 1,000 operations per month and allows complex, multi-step scenarios. Zapier's free plan provides 100 tasks per month and restricts automations to single-step workflows (one trigger, one action). Make offers 10 times more room to test before committing to a paid plan.

What Are the Hidden Costs in Make vs Zapier?

Make's pricing looks attractive in head-to-head plan comparisons, offering thousands of credits for a low monthly rate, but every step in a Make workflow counts against the budget, including internal logic, polling triggers, and failed runs. Most actions use one credit, but AI-based actions use multiple credits. Make's support forum contains active threads from users troubleshooting unexpected credit consumption.

Zapier's task costs scale predictably. Each successfully completed action step counts as one task with no polling charges. This predictability is a practical advantage for teams managing fixed automation budgets.

How Do Zapier and Make Handle Branching Logic?

Make handles branching natively through its router module. A router splits an incoming data stream into multiple parallel paths, each filtered by custom conditions. Zapier added conditional logic through its Paths feature. Paths work, but they sit on top of Zapier's linear architecture rather than being native to it.

For workflows requiring more than 3 to 4 branch conditions, Make's visual router is considerably easier to configure and audit. For simple linear automations, Zapier's Paths feature covers most use cases without requiring Make's learning investment.

Which Is Better for AI Workflows: Zapier or Make?

Zapier shipped Zapier Agents, Zapier Tables, and Zapier Canvas in 2025 and 2026, putting drag-and-drop AI agent building inside the same UI most users already know. Make introduced its Maia AI assistant, which builds automation scenarios from natural language descriptions, and launched Make AI Agents for autonomous task execution.

Zapier focuses on democratising AI, making it accessible without technical knowledge but with limitations in customisation. Make adopts an intermediate approach, integrating existing AI services into visual workflows with good functional depth.

For teams that want AI agent capabilities without a steep onboarding process, Zapier's additions are the faster path. For teams building complex AI pipelines with multi-model orchestration and document processing, Make's visual canvas provides better debugging and data flow traceability.

Zapier vs Make vs n8n: How Do All 3 Compare?

n8n is a fair-code, node-based automation platform that can be self-hosted at no cost or used via its managed cloud service. n8n reached a $2.5 billion valuation after its Series C round in late 2025, driven by enterprise adoption. n8n 2.0 (January 2026) introduced native LangChain integration, 70+ AI nodes, and persistent memory in AI agents.

What Makes n8n Different from Both Zapier and Make?

n8n is the only platform among the 3 with true self-hosting. Teams in regulated industries (healthcare, finance, legal) where data cannot leave their own servers use n8n for this reason. Self-hosted n8n eliminates per-execution pricing entirely: a 10-step workflow running 10,000 times costs the same as a 2-step workflow. The tradeoff is that n8n requires developer involvement for setup, maintenance, and custom integrations.

Gumloop vs Zapier: When Should You Choose Gumloop?

Gumloop is an AI-native automation platform built on a modular canvas where AI processing is embedded as a native node rather than an integration. It connects over 100 apps and 50+ MCP servers.

Choose Gumloop if your workflow's core logic is AI-driven: document processing, lead enrichment loops, content classification, or web scraping pipelines. Choose Zapier if you need to connect a wide range of SaaS tools with reliable, fast automations that a non-technical team member can build and maintain.

Pabbly Connect vs Zapier: Is Pabbly the Budget Alternative?

Pabbly Connect is a workflow automation platform that connects 1,000 to 2,000+ apps at a significantly lower price point than Zapier. Internal steps such as filters, routers, and formatters do not count toward the task limit, delivering up to 3 times more effective workflow executions per dollar than Zapier.

Pabbly's lifetime deal ($249 one-time for 3,000 tasks/month) is particularly attractive for solopreneurs and small businesses running stable, repeatable workflows. The limitations are real: lower Pabbly tiers are missing auto-retries, variables, and custom code. Support is email-based with slower response times than Zapier's. For mission-critical automations with financial consequences, Zapier's reliability track record and enterprise SLAs remain the safer choice.

Which Automation Platform Is Best for Your Team?

Most power users start on Zapier, hit its task limits, and migrate to Make. Teams with known complex workflow requirements can start with Make to avoid rebuilding on Zapier later. Teams in technical environments evaluating AI-heavy automation should assess n8n or Gumloop before committing to either Zapier or Make.

Olaitan Oladipo

Olaitan Oladipo holds a BSc in Sociology from Olabisi Onabanjo University. He is a self-taught automation builder who has spent years inside n8n doing the work that most tutorials skip: debugging OAuth errors at 2am, migrating client automations from Make.com mid-project, fighting reverse proxy misconfigurations on AWS EC2, and figuring out through trial and error what actually holds up in production versus what only looks clean in a demo.

He is not a developer by training and not a SaaS founder. He is the person in the Discord server who actually answers the question instead of linking to the docs.

His writing on n8n Automation Tutorial covers self-hosting, AI agent workflows, tool comparisons, and the security vulnerabilities the automation industry would rather not discuss. He has built AI-assisted invoice approval flows using OpenAI function calling, connected Claude via HTTP Request nodes, and holds considered opinions about Zapier, Make.com, LangChain, and CrewAI that their marketing teams would not appreciate.

He writes for people who are technical enough to follow a tutorial but experienced enough to want the honest version.