Make.com vs Power Automate
Detailed side-by-side comparison to help you choose the right tool
Make.com
π’No Codeautomation
Make.com: Visual automation platform with AI integration and workflow orchestration
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Starting Price
FreePower Automate
Automation
Microsoft's workflow automation platform that integrates AI Builder capabilities for intelligent automation including form processing, text analysis, and prediction models.
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CustomFeature Comparison
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π‘ Our Take
Choose Power Automate for enterprise-scale automation with RPA, on-premises connectivity, and native AI Builder capabilities. Choose Make (formerly Integromat) if you want a visually richer scenario builder, lower per-operation pricing, and more flexibility for data transformations in SaaS-heavy stacks without Microsoft dependencies.
Make.com - Pros & Cons
Pros
- βVisual workflow builder
- β3,000+ app integrations
- βMake AI integration
- βMake Grid orchestration
Cons
- βLearning curve
- βPricing consideration
- βTechnical requirements
Power Automate - Pros & Cons
Pros
- βNative integration with Microsoft 365, Dynamics 365, Azure, and Teams makes it the default choice for Microsoft-shop enterprises
- βAI Builder ships prebuilt models (invoice, receipt, business card, ID reader) that work without ML expertise and deploy in minutes
- βPower Automate Desktop is included free with Windows 11 Pro, lowering the barrier to RPA adoption
- βOver 1,000 prebuilt connectors reduce custom-integration work compared to most competitors in our directory
- βCopilot lets users describe a flow in plain English and generates the working automation, cutting build time significantly
- βEnterprise-grade governance including environments, DLP policies, audit trails, and role-based access control
Cons
- βAI Builder consumes credits separately (starting at $500/month for 1M credits) on top of base licensing, which can escalate costs quickly at scale
- βPremium connectors (SQL, Salesforce, HTTP) require a $15/user/month planβfree tier is limited to standard Microsoft connectors
- βSteeper learning curve than lightweight tools like Zapier; terms like environments, Dataverse, and solutions take time to master
- βPerformance can be sluggish compared to code-based alternatives, especially for flows with many loops or large datasets
- βLicensing model (per-user vs per-flow, with AI Builder add-ons) is notoriously confusing for procurement teams
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