Compare Make vs Zapier

Both tools in AI Workflow Automation
Pricing

Pricing Comparison

MakeMake
Free$0

1,000 credits/month, 2 active scenarios, 15-minute minimum interval

Core$9/mo

10,000 credits, unlimited active scenarios, 1-minute scheduling

Pro$16/mo

Priority execution, custom variables, full-text execution log search

Teams$29/mo

Shared scenario templates, team roles, multiple users

Enterprise$Custom

SSO, SCIM, audit logs, dedicated infrastructure, SLA support

ZapierZapier
Free$0

100 tasks/month, two-step Zaps, unlimited Tables and Forms

Professional$19.99/mo

Multi-step Zaps, unlimited premium apps, webhooks, AI fields

Team$69/mo

25 users, shared workflows and connections, SAML SSO, priority support

Enterprise$Custom

Unlimited users, advanced admin controls, observability, annual task limits

Features

Feature Comparison

MakeMake
Visual Scenario Canvas3,000+ ConnectorsRoutersIteratorsAggregatorsError HandlersHTTP ModuleWebhooksData StoresSchedulingScenario TemplatesMake AI AgentsCustom VariablesFull-Text Log SearchTeam CollaborationScenario VersioningMake GridOn-Demand Execution
ZapierZapier
Multi-Step Zaps9,000+ IntegrationsZapier AgentsAI ChatbotsZapier TablesZapier FormsVisual CanvasPaths BranchingFiltersFormatterWebhooksCode StepsZapier MCPZapier SDKCopilot BuilderVersion HistoryShared WorkspacesSAML SSO
Fit

Best For & Not For

MakeMake
✅ Best For
Automation agencies and freelancers building client scenarios who need branching, looping and error handling without writing code
Operations specialists at growing companies who have outgrown linear step-by-step automation and need a real flow canvas
Cost-conscious teams running high-volume workflows, since credit pricing is typically three to five times cheaper than task-based platforms at the same workload
Technical marketers who want to hit undocumented or niche APIs directly using the generic HTTP module when no native connector exists
❌ Not For
Absolute beginners who want a workflow live in five minutes, because the canvas has a steeper learning curve than a linear step builder
Teams needing the very longest tail of app connectors, since Make covers 3,000+ apps versus Zapier's 9,000+
Organisations with data residency rules requiring on-premise deployment, as Make is cloud-only with no self-hosting option
Anyone who wants a fixed predictable bill, because credit consumption varies with loop counts and record volumes month to month
ZapierZapier
✅ Best For
Non-technical operations and marketing teams who need the widest possible app coverage and want automations live the same afternoon they think of them
Small businesses without a dedicated automation engineer, where reliability and support matter more than squeezing out the lowest cost per action
Founders and agencies who need to connect long-tail SaaS tools that narrower platforms simply do not have connectors for
Teams standardising on one platform for automation, data tables, forms and AI agents instead of stitching four vendors together
❌ Not For
Teams running high-volume workflows, because task-based billing charges for every single action and costs climb sharply past a few thousand runs a month
Engineers who want to self-host, own their data infrastructure or inspect the source code, since Zapier is closed-source and cloud-only
Developers who need long-running compute or heavy custom code, as code steps are capped at short runtimes
Anyone needing granular loop, iterator and error-branching control that a node-based canvas like Make or n8n provides
Availability

Platform & Accessibility

MakeMake
web-basedapi
ZapierZapier
web-basedapichrome-extension
Use & Audience

Tasks & Who It's For

Integrations

Integrations

MakeMake
Data & Spreadsheets
Google Sheets
Communication
Slack
Database
Airtable
E-commerce
ShopifyStripe
CRM
HubSpot
Writing & Docs
Notion
Storage
Google Drive
Marketing
Facebook AdsMailchimp
Webhooks & API
Webhooks
Other
OpenAI
ZapierZapier
Communication
SlackGmail
Data & Spreadsheets
Google Sheets
CRM
HubSpotSalesforce
Writing & Docs
Notion
Database
Airtable
E-commerce
ShopifyStripe
Project Management
Asana
Customer Support
Zendesk
Other
OpenAI
Use Cases

Real-world Use Cases

MakeMake
1
Rohit runs a 12-client marketing agency and rebuilt every client report as a Make scenario that pulls Google Ads, Meta and GA4 data into a formatted Google Slides deck, saving 26 hours of manual reporting each month.
2
Sofia manages inventory for a boutique retailer. Her scenario uses an iterator to loop through a supplier CSV of 400 SKUs and update Shopify stock levels nightly, ending the weekend of manual data entry she used to dread.
3
Tomas, a solo SaaS founder, wired a router into Make so trial signups from enterprise domains alert him in Slack while everyone else enters a nurture sequence, and his demo booking rate from qualified trials doubled.
ZapierZapier
1
Priya runs a 4-person design studio and was losing enquiries in her inbox. She built a Zap that pushes every website form submission into Airtable and posts a Slack alert, and her team now replies to new leads within 12 minutes instead of two days.
2
Marcus manages e-commerce ops for a home goods brand. He set up a Zap that watches Shopify for orders over $500, creates a HubSpot deal and assigns a follow-up task, which lifted repeat purchase rate on high-value customers by 18 percent.
3
Aisha, a recruiter, connected her Typeform application form to Google Sheets and Gmail through Zapier. Candidates now get an acknowledgement email in under a minute and she stopped losing applicants to slow response times.
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