Compare Make vs Microsoft Power Automate

Make

Visual drag-and-drop automation with a node canvas, routers, iterators and credit-based pricing that scales far cheaper than task billing.

0 upvotesintermediate

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Microsoft Power Automate

AI Workflow AutomationFreemium

Microsoft's automation platform combining cloud flows, desktop RPA, AI Builder and 1,000+ connectors inside the Microsoft 365 estate.

0 upvotesintermediate

Visit Microsoft Power Automate ↗View profile

Pricing

Pricing Comparison

Make

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

Microsoft Power Automate

Included with Microsoft 365$0

Basic cloud flows using standard connectors only

Power Automate Premium$15/user/mo

Premium connectors, attended desktop RPA, AI Builder credits, Dataverse

Power Automate Process$150/bot/mo

Unattended RPA for a single concurrent process, organisation-wide

Hosted Process$215/bot/mo

Unattended RPA with Microsoft-hosted infrastructure, no VM to manage

Process Mining add-on$5,000/tenant/mo

Enterprise process discovery and analysis, Premium plan required

Features

Feature Comparison

Make

Visual Scenario Canvas3,000+ ConnectorsRoutersIteratorsAggregatorsError HandlersHTTP ModuleWebhooksData StoresSchedulingScenario TemplatesMake AI AgentsCustom VariablesFull-Text Log SearchTeam CollaborationScenario VersioningMake GridOn-Demand Execution

Microsoft Power Automate

Cloud FlowsDesktop FlowsAttended RPAUnattended RPA1,000+ ConnectorsAI BuilderProcess MiningTask MiningDataverse StorageCopilot BuilderApproval FlowsTeams IntegrationSharePoint TriggersScheduled FlowsBusiness Process FlowsFlow AnalyticsOn-Premises GatewayEnvironment Governance

Fit

Best For & Not For

Make

✅ 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

Microsoft Power Automate

✅ Best For

✅IT and operations teams inside Microsoft-centric organisations, where SharePoint, Teams, Outlook and Dataverse are already the systems of record

✅Enterprises that need to automate legacy Windows desktop applications with no API, which browser-based and API-first tools simply cannot reach

✅Companies wanting approval workflows embedded natively in Teams and Outlook rather than bolted on through a third-party tool

✅Organisations running structured document processing at scale, where AI Builder can extract fields from invoices, forms and receipts inside the same platform

❌ Not For

❌Small teams outside the Microsoft ecosystem, since much of the value comes from bundled M365 entitlements you would not otherwise be paying for

❌Anyone budgeting for unattended RPA casually, because pricing jumps from per-user to per-bot and four concurrent processes alone run into hundreds of dollars monthly

❌Teams wanting simple self-serve setup, as licensing, environments, Dataverse and gateway configuration all demand real administrative effort

❌Users needing the long tail of consumer and indie SaaS connectors, which Zapier and Make cover far more comprehensively

Availability

Platform & Accessibility

Make

web-basedapi

Microsoft Power Automate

web-baseddesktopmobileapi

Use & Audience

Tasks & Who It's For

Make

Tasks

ai-productivity ai-data ai-sales

Who it's for

small-business marketer freelancer

Microsoft Power Automate

Tasks

ai-productivity ai-data ai-email

Who it's for

developer small-business marketer

Integrations

Make

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

Microsoft Power Automate

Storage

SharePointOneDrive

Communication

Microsoft TeamsOutlook

Data & Spreadsheets

Excel

Database

DataverseSQL Server

CRM

SalesforceDynamics 365

Other

SAPAzure

Customer Support

ServiceNow

Use Cases

Real-world Use Cases

Make

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.

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.

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.

Microsoft Power Automate

Ravi manages IT for a 400-person engineering firm and built an approval flow that routes purchase requests through Teams, replacing an email chain that regularly lost requests and cutting approval time from five days to under one.

Helen runs finance at a manufacturer where invoices arrive as scanned PDFs. Her AI Builder flow extracts vendor, amount and date fields and writes them to Dataverse, removing roughly 30 hours of monthly keying from her team.

Tomasz automates operations at a logistics company using a legacy Windows dispatch system with no API. A desktop flow now logs in nightly and reconciles delivery records, ending a two-hour manual routine nobody wanted to own.

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