Make vs Zapier

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-13
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Make or Zapier: which should you choose?

DimensionMakeZapier
PricingFree plan; paid tiers scale with operationsFree plan; paid tiers scale with tasks
App integrations3,000+ connectors9,000+ apps
Key differentiatorVisual scenario builder with data transformation toolsEase of use, AI Workflows, MCP, and SDK
Best forMarketing/ops teams needing complex, visual workflowsNon-technical users automating across many apps
Latest newsNo recent news capturedUnified task pricing for AI, code, and SDK (Mar 2026)
Enterprise complianceGDPR, SOC 2, SOC 3SOC 2 Type II, GDPR, CCPA

If you want visual control over complex, multi-step logic and have some technical comfort, Make is the better buy. If you prioritize sheer app count, minimal learning curve, and AI-assisted workflow generation, Zapier wins. Both are freemium, but Zapier's unified task pricing (post-2026) simplifies cost planning for AI-heavy usage.

Make
Make

Make is a visual automation canvas where branching workflows, AI agents and prompt-built scenarios run on the same map.

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Zapier
Zapier

Zapier connects 9,000+ apps to Claude, ChatGPT, Cursor and Gemini Enterprise through one governed MCP server.

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Pricing
Freemium
Freemium
Plans
FreeFree
Core$9/mo billed annually
Pro$16/mo billed annually
Teams$29/mo billed annually
EnterpriseCustom
FreeFree
ProfessionalFrom $19.99/mo
TeamFrom $69/mo
EnterpriseCustom
Agents FreeFree
Agents Pro$400/yr
Chatbots FreeFree
Chatbots Pro$160/yr
Popularity
4.8k views
3.6k views
Skill Level
Intermediate
Beginner-friendly
API Available
Platforms
Web
Web
Categories
🤖 Automation & Agents
🤖 Automation & Agents
FeaturesMakeZapier
Visual drag-and-drop scenario builder for branching multi-step workflows
Routers, filters, aggregators and iterators reshape data between steps
Maia by Make builds and debugs automations from plain-language prompts (released 13 Aug 2026)
Make AI Agents set goals, take tools, define limits and show reasoning
Make MCP Server connects Claude, ChatGPT or Gemini to business actions
Make Grid maps every automation and third-party resource live
3,500+ app integrations plus custom integrations for any API
AI app integrations including OpenAI (ChatGPT, Whisper), Perplexity AI, DeepSeek AI and Google Gemini AI
AI Content Extractor pulls structured text and metadata from files
AI Web Search (beta) inside scenarios
Custom code steps in JavaScript or Python
Sub-scenarios for modular, reusable workflow design
Data stores for persistent state between scenario runs
Make API access for programmatic scenario control
Role-based access, audit logs, SSO and encryption in transit and at rest
Connect 9,000+ apps through pre-built integrations
Run Zapier MCP tool calls from Claude, ChatGPT, Cursor, Gemini Enterprise and 230+ other AI tools
Share one Zapier MCP server across multiple AI clients with unified tool-call history
Choose agentic mode (agent finds its own tools) or managed mode (fixed actions) per MCP server
Lock field values per tool, such as the Slack channel a message posts to
Secure MCP connection with no passwords or API keys
Granular permissions per team member across 66,000+ triggers and actions
Company-owned app connections shared with people and teams (Enterprise)
Multi-step Zaps with logic branches, filters and AI fields
AI by Zapier steps that call app actions, knowledge sources or web browsing as tools
Require approval before an AI step runs a tool that creates, updates or deletes data
Next Gen Zaps with advanced logic and automatic recovery (early access)
Export task usage history as CSV for up to 12 completed billing periods (open beta)
Tables for structured data your Zaps read and update
Forms to capture inputs that trigger workflows
IntegrationsMakeZapier
Salesforce
HubSpot CRM
Slack
monday.com
NetSuite
OpenAI (ChatGPT, Whisper)
Perplexity AI
DeepSeek AI
Google Gemini AI
Canva
Airtable
Notion
Google Sheets
Gmail
Snowflake
HubSpot
ChatGPT (OpenAI)
Claude
Gemini Enterprise
Cursor
Microsoft Teams
Zendesk
Jira Software Cloud
Microsoft Dynamics CRM

What do real users say about Make vs Zapier?

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Make

114 mentions across 8 sources · 50% positive — mixed (weighted across 8 sources)

Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, Lemmy, Tech Press

What users praise

  • • Visual canvas makes branching logic with routers and filters readable at a glance
  • • Hundreds of prebuilt app integrations cover most common SaaS stacks out of the box
  • • Pricing comparable to Zapier but supports genuinely multi-step, branching scenarios
  • • Custom JavaScript and Python code steps fill gaps the module library misses

What frustrates them

  • • iOS app crashes within seconds and fails to sync in the background
  • • Support tickets reportedly go months without a response or follow-up
  • • No converger module, forcing awkward workarounds for advanced merge logic
  • • Per-operation billing quickly inflates costs on branch-heavy workflows

Researched Nov 7, 2026

Zapier

84 mentions across 5 sources · 48% positive — mixed (weighted across 5 sources)

Hacker News, Product Hunt, Bluesky, Stack Overflow, Lemmy

What users praise

  • • No programming background required — non-technical users build usable Zaps within minutes
  • • Spreads 9,000+ app integrations, by far the broadest catalog versus Make and n8n
  • • MCP server gives Claude, ChatGPT, Cursor and Gemini shared tool access from one place
  • • Granular per-member permissions and locked field values make enterprise rollout defensible

What frustrates them

  • • Task-based billing burns fast — every successful action counts, not every run
  • • Free tier's 100 tasks/month is exhausted within days of active use
  • • Extensive users find the pricing model unfriendly compared to Make and n8n
  • • Multi-step Zaps can grow expensive and cost is hard to forecast

Researched Nov 7, 2026

Who should pick Make, and who should pick Zapier?

  • Non-technical marketer automating lead sync
    Pick: Zapier

    Zapier's ease of use and 9,000+ apps let you connect HubSpot, Google Sheets, and Slack in minutes, with AI Workflows for natural-language setup.

  • Operations lead building multi-branch CRM updates
    Pick: Make

    Make's visual scenario builder with routers and aggregators lets you craft conditional logic and data transformations without code, offering more control than Zapier's simpler branching.

  • Developer integrating AI coding agents
    Pick: Zapier

    The Zapier SDK Beta (recent) allows you to integrate AI coding agents directly with 9,000+ apps — a feature Make lacks in its current data.

  • IT team needing granular error handling
    Pick: Make

    Make's rollback mechanisms, real-time logs, and sub-scenarios give IT the modular control needed for complex automation with fail-safes.

  • Solo founder with simple task automation
    Pick: Zapier

    Zapier's free tier and pre-built app connectors get you going fast, with minimal setup — avoid Make's steeper learning curve.

Frequently Asked Questions

Make vs Zapier: which should you choose?

If you want visual control over complex, multi-step logic and have some technical comfort, Make is the better buy. If you prioritize sheer app count, minimal learning curve, and AI-assisted workflow generation, Zapier wins. Both are freemium, but Zapier's unified task pricing (post-2026) simplifies cost planning for AI-heavy usage.

Which platform has more third-party integrations?

Zapier claims 9,000+ apps; Make has 3,000+ connectors. Zapier's coverage is roughly triple.

Are both platforms compliant with major security standards?

Yes: Make is GDPR, SOC 2, and SOC 3 compliant; Zapier is SOC 2 Type II, GDPR, and CCPA compliant.

Can I build AI agents on either platform?

Yes. Make offers AI Agents and an MCP Server; Zapier offers Agents, Chatbots, and more AI-native tools. Zapier's set is more extensive in the current data.

Which is better for complex data transformations?

Make's splitter/aggregator and iterator tools are explicitly built for this, giving it the edge over Zapier's simpler branching.

How does pricing differ in practice?

Make bills per 'operation'; Zapier per 'task'. Zapier's unified task pricing (2026) aligns AI, code, and SDK usage, so you get one meter. Make's operation costs can scale with complex scenarios.

Can I connect my AI chatbot to automate actions?

Yes — Zapier MCP lets you connect AI chats (like ChatGPT) to apps without code. Make also has an MCP Server, but the data doesn't detail its app reach.

Is one faster for real-time automation?

Zapier is known for delays of minutes; Make's data mentions real-time execution logs, but both are cloud-based and not true real-time. Check your workflow's tolerance.

What else are Make and Zapier compared with?

Where can you read more about Make and Zapier?

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Analysis generated by our model pipeline from live data: