Make and Zapier compared (and a better and easier alternative)

Make and Zapier compared (and a better and easier alternative)

Make and Zapier are the two biggest names in workflow automation, but AI agents, MCP support, and governance tools have reshaped how they compete in 2026. Here's how they stack up on AI capabilities, pricing, integrations, and ease of use.

Decorative image

Need help deciding between Make and Zapier?

If you're shopping for a workflow automation tool, two names keep coming up: Make (formerly Integromat) and Zapier. Both platforms connect your apps, automate repetitive tasks, and handle complex workflows. But in 2026, the landscape has shifted dramatically. AI agents, governance tools, MCP support, and credit-based billing have completely rewritten how these tools compete.

So which one is right for you?

In this article, we'll break down Make vs. Zapier across the criteria that actually matter today. That means AI capabilities, pricing models, ease of use, integration depth, and governance features. And as a bonus, we'll introduce you to a third option that's redefining this whole category. (Hint: it's us, Relay.app!)

But first, the quick version.

TL;DR

Here's the short take on how Make and Zapier compare:

  • Make: Best for technical users and power builders who need granular control over complex, multi-step automations. Its visual canvas, advanced logic (branching, iteration, error handling), and credit-based pricing make it ideal for teams willing to invest the learning curve. AI features are evolving fast with next-gen AI Agents now built directly into the Scenario Builder, a reasoning panel for step-by-step visibility, multimodal inputs, an AI Toolkit, MCP server support, and 400+ AI app integrations.

  • Zapier: Best for teams that want speed and simplicity with the broadest integration library on the market (8,000+ apps). The linear workflow builder is approachable for non-technical users, and Zapier has been stacking AI features aggressively. That includes dedicated AI Agents with versioning, Chatbots, Canvas, AI Guardrails for safety checks, and MCP support with Tool Bundle Sharing. Just watch out for fragmented pricing on AI add-ons.
    Both tools will make your life easier, but they approach automation from very different angles. It's about matching your needs, and your team's technical comfort level, to their strengths.

A bit of background on workflow automation

The purpose of a workflow automation tool is to simplify how your apps talk to each other. These platforms typically come with visual editors, drag-and-drop builders, and can handle everything from simple data syncs (like updating a CRM record) to complex, multi-step workflows spanning dozens of systems.

What's changed in the last year is the rise of AI-native automation and governance. It's no longer enough for a tool to just connect apps. Buyers now expect built-in AI models, agent-building capabilities, human-in-the-loop controls, and support for protocols like MCP (Model Context Protocol) that let AI tools interact with your automation ecosystem. The conversation has also shifted toward AI safety and oversight. Guardrails, audit logs, and approval gates are now table stakes for any serious team.

Both Zapier and Make are specifically geared towards non-developers, empowering people with little to no technical expertise to automate business processes. That's why they end up in the same consideration set. But each platform brings a very different philosophy, and a very different set of trade-offs, to the table.

Comparing Make and Zapier in 2026

What is

Make

?

G2:

⭐️

4.6

Product Hunt:

⭐️

4.8

External image

Make is a visual-first no-code automation platform that lets you design complex workflows on a canvas by connecting modules from 3,000+ apps. It supports advanced logic like branching, filtering, iteration, and error handling, making it popular with power users who need more control than simpler tools offer. Make has recently expanded into AI with beta AI Agents, an AI Toolkit, MCP server support, and 400+ AI app integrations including OpenAI, DeepSeek, and Perplexity. Make is well-suited for technical users and teams that need to build sophisticated, multi-step automations with granular control over every step.

Product details

  • It's a powerful visual scenario builder: The canvas-based editor lets you see exactly how data flows through your automation. Great for debugging and complex logic.

  • Advanced workflow logic: Supports branching, filtering, iteration, and error handling that most simpler tools can't match.

  • Strong integration library: Connects with 3,000+ apps, with deep action support across most of them.

  • Generous pricing relative to complexity: Make offers more operations per dollar than Zapier, making it attractive for higher-volume automations.

  • Steep learning curve: Make's power comes at a cost. Non-technical users typically need 10–20 hours before feeling comfortable, and concepts like routers, iterators, and aggregators take real investment to learn.

Pricing

  • Free: $0/month – 1,000 credits/month

  • Core: $9/month – 10,000 credits/month

  • Pro: $16/month – 10,000 credits/month plus priority execution and advanced features

  • Teams: $29/month – 10,000 credits/month plus team collaboration

  • Enterprise: Custom pricing

External image

What is

Zapier

?

G2:

⭐️

4.5

Product Hunt:

⭐️

4.8

External image

Zapier is a one of the best-known automation tools (the "OG" of no-code workflows) that has significantly expanded its AI capabilities. Traditionally, Zapier connects your apps: "When X happens in app A, do Y in app B." Now, Zapier offers dedicated AI Agents, AI Chatbots, Canvas, and MCP. Zapier isn't an AI-specialized platform like some others here, but its strength is the 8,000+ app integrations it supports. This means you can trigger AI agents based on almost any event (new email, form submission, CRM update, you name it) and then have the AI perform an action or generate content as part of the Zap.

Product details

  • Massive integration ecosystem: Zapier connects with over 8,000 apps, so your AI agent can interact with nearly any tool your business uses. This is unmatched in the industry.

  • Mature product and platform: Zapier has a reputation for dependable execution of workflows, extensive documentation, and a lot of community support.

  • Extensive template library: Thousands of pre-built Zap templates (including many with AI) can help get you started quickly.

  • Expanding AI toolkit: Zapier now offers dedicated AI Agents, Chatbots, Canvas, and MCP support alongside its core automation platform.

  • The OG of no-code workflows: Being a long-time champion of the space means that they have many years of added features, but this also means it's more difficult to evolve significantly.

Pricing

  • Free Tier: Yes – 100 tasks/month with two-step Zaps, plus Tables, Forms, and Zapier MCP included.

  • Professional: Starting from $19.99/month (billed annually) – multi-step Zaps, unlimited premium apps, Tables, Forms, and MCP included.

  • Team: Starting from $69/month (billed annually) – 25 users, shared Zaps, SAML SSO.

  • Enterprise: Custom pricing – unlimited users, advanced admin controls, observability.

  • AI Agents add-on: Free (400 activities/mo) or Pro ($33.33/mo for 1,500 activities).

  • Chatbots add-on: Free (2 chatbots), Pro ($13.33/mo for 5 chatbots), or Advanced ($66.67/mo for 20 chatbots).

External image

What is

Relay.app

?

G2:

⭐️

4.9

Product Hunt:

⭐️

5

External image

Relay.app is the easiest way to automate with AI. It turns plain language into reliable, visual workflows across over 200 apps. Non-technical users who have struggled with complex tools like Zapier or Make can create reliable AI workflows in minutes just by using plain language. Relay.app handles everything from creation to analysis, while built-in human-in-the-loop features ensure that you stay in control when the stakes are high.

Product details

  • Ease of use: Relay.app is designed for teams of all technical abilities to automate in minutes.

  • AI Agent creation: Use natural language to build and improve complex AI workflows effortlessly.

  • Human-in-the-loop: Add checkpoints to pause workflows for human approval or data entry when needed.

  • Collaborative features: Share workflows and app connections across your team for seamless multiplayer automation.

  • Built-in AI models: Access the best models from OpenAI, Anthropic, and more using included AI credits.

  • Stateful data with Tables: Store and update structured data directly within Relay.app to use across flows.

  • Technical power: Advanced users can leverage custom JavaScript, MCP servers, and custom HTTP requests.

  • 200+ native integrations: Deeply connected with popular tools like Notion, Gmail, and HubSpot.

Pricing

Relay.app offers a range of plans including a generous free tier. All plans include free test runs so you can validate your workflows before they go live.

  • Free: $0/month for 1 user, 200 steps, and 500 AI credits

  • Professional: $19/month (billed annually) for 1 user, 750 steps, and 2,000 AI credits

  • Team: $59/month (billed annually) for up to 10 users, 1,500 steps, and 2,000 AI credits

  • Enterprise: Custom pricing for organizations with advanced usage or security requirements

External image

A deeper dive on key features

Key features of Make

Make is a visual-first, no-code automation platform that lets you design complex workflows on a canvas by connecting modules from 3,000+ apps. It supports advanced logic like branching, filtering, iteration, and error handling, making it the go-to choice for power users who need more control than simpler tools offer.

Visual scenario builder

Make's canvas-based editor is genuinely best-in-class for complex automations. You can see exactly how data flows through your workflow, drag modules around, and organize them into clusters. When your automations get big and branchy, this visual approach makes debugging and communicating what's happening way easier than a linear step list.

Advanced workflow logic

Juggling multiple tasks with conditional paths? Make handles it natively. Multi-step workflows with branching (via Routers), filtering, iteration, parallel processing, and sophisticated error handling are all available on every plan. You can set the exact number of times an action repeats, configure retry logic, and build alternative pathways for when things break.

AI capabilities (evolving rapidly)

Make has been pushing hard into AI territory. Here's where things stand in 2026:

  • Next-gen AI Agents are now built directly into the core Scenario Builder with a redesigned UI, a reasoning panel for step-by-step transparency, and multimodal inputs (documents, images, audio)

  • Library of Agents with pre-made, production-ready agent templates you can share across teams and workflows

  • AI Toolkit for integrating AI models directly into your workflows

  • MCP server support for connecting AI tools to Make's ecosystem

  • 400+ AI app integrations including OpenAI, DeepSeek, and Perplexity

  • Make Grid for visual control over your entire automation landscape at scale
    Make's vision is AI + structured automation working together under strong governance. They're building toward shareable, reusable agent libraries that organizations can deploy with full visibility. The AI features are still maturing, and pricing for AI modules may continue to evolve, but the foundation is solid for teams that want granular control over AI-powered workflows.

Credit-based pricing

Make uses a credit-based billing model where each module action counts as one credit. This is generally more cost-effective than Zapier for high-volume, complex workflows. But there's a catch: AI modules in particular can burn through credits quickly, and polling triggers charge you even for empty checks. You'll want to architect your workflows carefully.

💰 Pricing snapshot:

  • Free: $0/month, 1,000 credits/month

  • Core: $9/month, 10,000 credits/month

  • Pro: $16/month, 10,000 credits/month plus priority execution and advanced features

  • Teams: $29/month, 10,000 credits/month plus team collaboration

  • Enterprise: Custom pricing

Depth of integrations

Make connects with 3,000+ apps, and while that's less than Zapier's library, Make typically provides significantly more API endpoints per app. That means more actions, more triggers, and more granular control over each integration.

Make pros:

  • Powerful visual canvas for mapping complex automations

  • Advanced workflow logic (branching, iteration, error handling) on every plan

  • Deep integration support with more actions per app

  • Cost-efficient credit-based pricing for high-volume workflows

  • Next-gen AI Agents with full visual transparency and reasoning panels
    Make cons:

  • Steep learning curve, most new users need 10-20 hours to get comfortable

  • Credit billing can get expensive, especially with AI modules

  • AI agent capabilities still maturing compared to specialized builders

Key features of Zapier

Zapier is the OG of no-code automation, and it's evolved significantly beyond its "if this, then that" roots. With 8,000+ app integrations, it's the most-connected automation platform on the market. In 2025, Zapier rebranded itself as an "AI Orchestration Platform," signaling just how seriously they're betting on AI.

Ease of use

Zapier's interface is designed for speed. The linear "trigger → action" builder is intuitive for users of all skill levels, and most people can get a Zap up and running in minutes. The onboarding experience, support resources, and documentation are all top-notch. If you want to start automating without a manual, Zapier is hard to beat.

AI features (growing fast)

Zapier has been layering on AI capabilities aggressively, and 2026 has brought some meaningful upgrades:

  • AI Agents: Dedicated agents that perform multi-step tasks autonomously, now with versioning (draft and published versions) so you can iterate without breaking what's already working

  • AI Chatbots: Build conversational bots for interactive task automation, now with admin roles, viewer access, and team-ready governance

  • Canvas: A visual design tool for mapping out automation systems, now with auto-generation

  • AI Guardrails: A built-in app that adds safety checks to any Zap, including content moderation, PII detection, and topic classification, with structured outputs you can route, block, or escalate

  • MCP support with Tool Bundle Sharing, so teammates can import a full set of MCP tools in one go

  • Zapier Copilot: Tell Zapier what you want to automate in natural language, and it builds the workflow for you, now with checkpointing so you can roll back any AI-made changes

  • AI Enrich in Tables: Auto-fill fields, generate summaries, and create insights from raw data with a single prompt

  • Bring Your Own AI Provider: Connect Claude, ChatGPT, or other AI providers to power Zapier's AI features directly
    The caveat? AI Agents and Chatbots are separate paid add-ons on top of the base platform, which adds complexity and cost.

💰 Pricing snapshot:

  • Free: $0/month, 100 tasks/month, two-step Zaps, Tables, Forms, MCP included

  • Professional: From $19.99/month (annual), multi-step Zaps, unlimited premium apps

  • Team: From $69/month (annual), 25 users, shared Zaps, SAML SSO

  • Enterprise: Custom pricing, unlimited users, advanced admin controls

  • AI Agents add-on: Free (400 activities/mo) or Pro ($33.33/mo for 1,500 activities)

  • Chatbots add-on: Free (2 chatbots), Pro ($13.33/mo), or Advanced ($66.67/mo)

Extensive template library

One of Zapier's killer features is its massive collection of pre-made Zap templates, and now Agent templates live alongside them in a unified experience. Instead of building from scratch, you can browse, discover, and launch agent templates directly from the main Templates hub. It's a great way to start fast and learn how different apps can be connected.

Internal app-building tools

Zapier has expanded beyond pure automation with Tables (store and manipulate data, now with AI Enrich), Interfaces (customizable front-ends for team workflows), and Chatbots (AI-powered conversational interfaces with team governance). If you want more than just workflow automation, Zapier's ecosystem has you covered.

Breadth of integrations

With 8,000+ app connections, Zapier's integration library is unmatched. If you use a niche tool, Zapier almost certainly supports it. This breadth is a major advantage for teams with diverse tech stacks.

Zapier pros:

  • Massive integration ecosystem (8,000+ apps), unmatched breadth

  • Fast time-to-value with intuitive builder and Copilot

  • Extensive template library, now including agent templates

  • Expanding AI toolkit with governance and guardrail features

  • Tables, Interfaces, and Chatbots create a broader platform ecosystem
    Zapier cons:

  • Fragmented pricing, AI Agents and Chatbots are separate paid add-ons

  • Linear workflow structure can get cumbersome for truly complex automations

  • Costs can rise quickly as automation volume grows, especially on lower tiers

Direct comparison of Make and Zapier

Now that you know what each tool brings to the table, here's how they compare head-to-head on the criteria that matter most in 2026:

  • Ease of use: Zapier wins here, especially for non-technical users. The onboarding, interface, and documentation are all designed for quick time-to-value. Make's visual canvas is powerful but requires a real investment to learn. Most new users need 10-20 hours before they're comfortable with concepts like Routers, Iterators, and Aggregators.

  • AI capabilities: Both platforms are investing heavily in AI, but they're approaching it differently. Make offers transparent, canvas-based AI agent building with detailed reasoning panels and multimodal inputs, great for technical users who want control. Zapier's AI features (Agents with versioning, Chatbots, Copilot with checkpointing, AI Guardrails) are more accessible but come as separate paid add-ons with their own pricing tiers.

  • AI governance and safety: This is a critical battleground in 2026. Zapier recently launched AI Guardrails, a built-in safety layer for content moderation, PII detection, and topic classification. Make is leaning into governance through transparency, with their canvas showing exactly how AI agents reason and execute step by step. Both approaches have merit, and governance is now a must-have criterion for enterprise buyers.

  • Complexity of workflows: Make thrives with intricate workflows that require branching, parallel processing, conditional logic, and sophisticated error handling. Zapier has improved here (Looping, Paths, Sub-Zaps), but its linear structure can get cumbersome for truly complex automations.

  • Visual interface: Make's canvas-based editor is clearly better for mapping out complex, multi-branch automations. Make Grid adds an extra layer of visibility for managing your entire automation landscape. Zapier's clean, vertical-step design is more approachable, and Canvas helps with visual planning, but it doesn't visualize branching or looping as clearly during execution.

  • Pricing: This one's nuanced. Make's credit-based model is often cheaper for high-volume, complex workflows, and it doesn't gate advanced logic behind higher-tier plans. But AI modules eat credits fast, and polling can inflate costs. Zapier's task-based model is more transparent (you only pay for "work" actions), but AI features are fragmented across add-ons that can add up quickly.

  • Integrations: Zapier has the clear edge on breadth (8,000+ apps vs. Make's 3,000+). Make has the advantage on depth, typically supporting far more actions per app than Zapier. Your choice depends on whether you need to connect more apps or do more with each app.

  • MCP support: Both platforms now support Model Context Protocol, which is increasingly important for teams building AI-powered workflows. Zapier has added Tool Bundle Sharing for faster team onboarding with MCP tools. Make's MCP support fits neatly into its visual canvas approach.
    Choosing between them really depends on your team's technical comfort level, the complexity of your workflows, and how much you're betting on AI. But as mentioned earlier, there's a third option worth considering.

How to choose

Choose Zapier if:

You want to get started fast without a steep learning curve. You care about:

  • Speed to value: You want automations running in minutes, not hours. Zapier's guided setup and Copilot make it dead simple.

  • Breadth of integrations: You need to connect a wide range of apps, including niche tools, and Zapier's 8,000+ library is unmatched.

  • Simpler workflows: Your automations are mostly linear (trigger → action → action) without heavy branching or data transformation.

  • AI with guardrails: You want built-in safety checks, content moderation, and governance tools for your AI-powered workflows.

  • Team accessibility: You need a tool that non-technical teammates can pick up quickly.

Choose Make if:

You're more technical and want granular control over every step. You care about:

  • Advanced workflow logic: You need branching, iteration, parallel processing, and sophisticated error handling baked into a visual canvas.

  • Detailed control: You want to manage every component of your workflow, from data transformations to retry logic to exact execution counts.

  • Cost efficiency at scale: Make's credit-based pricing is often more economical for high-volume, multi-step automations (just watch your AI credit usage).

  • Integration depth: You'd rather have more actions per app than more apps overall.

  • AI transparency: You want to see exactly how your AI agents reason and execute, step by step on the canvas, with full reasoning panels and multimodal input support.

Why not consider Relay.app as an alternative?

When comparing Make and Zapier, there's another tool worth a serious look: Relay.app. It's a newer player, but it's built from the ground up for the AI-native era, combining an exceptional user experience, deep integrations, and human oversight of AI workflows.

Why people love Relay.app:

  • User experience: The #1 reason people choose Relay.app is how easy it is to use. The interface is modern, clean, and intentionally designed for people of all skill levels. You don't need to be a power user to build powerful automations.

  • Natural language interaction: Beyond the visual workflow builder, Relay.app offers an AI chat experience that builds workflows for you. Just tell the AI agent what you need, give it feedback, ask questions, iterate. It's like talking to a coworker.

  • Best-in-class AI integrations: Relay.app has the most advanced and easiest-to-use AI integrations in the category. All the models you'd want, OpenAI's GPTs, Claude, Gemini, Llama, and more, are built directly into the product as easy-to-use AI steps. No separate accounts, no API keys. Just Relay.app's AI credit system.

  • Human-in-the-loop capabilities: Not every automation should run on autopilot. Relay.app makes it easy to add approvals, forms, and decision points where a teammate's judgment is critical. This is especially important for AI workflows where you want human oversight, and it's the approach that most enterprise teams prefer in 2026.

  • Collaborative automation building: Relay.app is built for teams. Share agents, workflows, and app connections. Edit workflows together (even simultaneously), add comments, and build alongside your teammates.

The bottom line

Make and Zapier are both excellent tools, but they serve different users. Make is the power user's playground, with a visual canvas, granular control, and cost-efficient pricing for complex workflows. Zapier is the accessibility champion, with unmatched integrations, a dead-simple builder, and an expanding AI toolkit now backed by governance features like AI Guardrails.

But if you want the best of both worlds, the power of advanced AI with the ease of use that doesn't require a 20-hour learning curve, try Relay.app for free today. It's built for teams that want to automate smarter, collaborate better, and keep humans in the loop where it matters.

External image

Jacob Bank

Founder/CEO at Relay.app

Jacob is the Founder and CEO of Relay.app. Prior to founding Relay.app, Jacob was a Director of Product Management at Google, where he led the product teams for Gmail, Google Calendar, and several other Google Workspace products. Before that, Jacob was the Co-founder and CEO of Timeful (acquired by Google in 2015), a smart calendar that leveraged insights from behavioral psychology and AI to help people spend time on their most important priorities. He has a BA in Computer Science from Cornell University and was pursuing a PhD in the AI Lab at Stanford before dropping out to found Timeful.

FAQs

Who is Zapier's main competitor?

Which workflow tool should I use if I'm not really technical?

What's the best AI automation tool for small businesses and entrepreneurs?

Are Make and Integromat the same thing?