Make vs Power Automate — visual flow builder or Microsoft depth?
Make is a polished, cloud-only visual builder — a flowchart canvas with strong routers, iterators, and aggregators, billed per operation and connecting a wide library of best-of-breed SaaS apps. Power Automate is Microsoft's automation layer — licensed per user or per flow, often partially included with Microsoft 365, with native Office/Teams/Dynamics integration, desktop RPA, and enterprise governance. The honest decision factor is your stack and your shape of work: Microsoft-standardised organisations lean Power Automate, while teams wanting expressive visual logic across mixed SaaS tools lean Make.
Side-by-side comparison
| Dimension | Make | Power Automate |
|---|---|---|
| Best for | Teams wanting an expressive visual builder across mixed SaaS tools | Organisations already standardised on Microsoft 365 / Dynamics / Azure |
| Ease of use | Moderate — approachable flowchart canvas, but routers and aggregators take learning | Moderate — friendly templates, but expressions and connectors pull IT in sooner |
| Pricing model | Per operation (each module step counts); free tier then paid | Per user or per flow; limited entitlements included with many Microsoft 365 licences, premium connectors gated to paid plans |
| Branching & logic | Strong — routers, iterators, and aggregators built into the visual canvas | Conditions, switches, loops, and parallel branches via expressions and controls |
| Integration breadth | Wide library of pre-built SaaS connectors | Extensive connector set, strongest inside the Microsoft ecosystem |
| Custom code / flexibility | Functions, an HTTP module, and code-style transforms within scenarios | Expressions and connectors; deeper custom logic routes through Azure services |
| Self-hosting / data control | Cloud-only (no self-hosting) | Cloud service (Microsoft-hosted); desktop flows run locally |
| Desktop RPA | None — cloud-to-cloud workflows only | Built in — desktop flows automate legacy and local Windows applications |
| AI & LLM workflows | AI modules and an HTTP module for LLM calls within a visual flow | AI Builder and Copilot features on a credit-based consumption model |
| Where it wins | Expressive visual logic and cost efficiency across SaaS tools | Microsoft-stack depth, desktop RPA, and IT-managed governance |
The verdict
Choose Make when your tools are spread across best-of-breed SaaS apps, you want an expressive visual canvas with real branching — routers, iterators, aggregators — and per-operation pricing that stays efficient at moderate volume suits how much you run. Choose Power Automate when your organisation lives in Microsoft 365: the native Teams, SharePoint, Excel, and Outlook hooks, desktop RPA for legacy Windows apps, and admin governance your IT team already understands are hard to beat there, and your licences may already include part of it. The honest framing is your stack and workflow shape, not feature checklists — Microsoft-first with governance and RPA needs leans Power Automate, while visual logic across mixed SaaS leans Make, and plenty of companies sensibly run both for different jobs. If you would rather not evaluate or maintain either one yourself, Aiprosol selects and runs the right tool per workflow — the $97 Workflow Automation Playbook lays out the full decision matrix, or the done-for-you services handle it end to end.
FAQs
Which is easier for a non-technical team?
It is close, and it depends on the work. Make's flowchart canvas is approachable and gives you visual feedback as scenarios run, though routers, iterators, and aggregators take a little learning. Power Automate is friendly for simple templates, but expressions, connector configuration, and environment settings tend to pull you toward IT involvement sooner. For mixed-SaaS automations Make is often the gentler on-ramp; inside a Microsoft shop, Power Automate's templates can be quicker.
Is Power Automate free with Microsoft 365?
Partially. Many Microsoft 365 licences include limited Power Automate entitlements covering standard connectors, but premium connectors, desktop RPA in unattended mode, and higher capacity require separate per-user or per-flow licensing. Make is priced separately, with a free tier and paid plans billed per operation. Check your current Microsoft licence and your real run volume before assuming which is cheaper.
Can Make automate desktop or legacy Windows applications?
No — Make is cloud-to-cloud only. If you need to automate a local Windows application or a legacy system that has no API, Power Automate's desktop flows (RPA) handle that natively. With Make you would need a separate RPA tool alongside it.
Which has better branching and visual logic?
Both handle complex logic, in different styles. Make is built around a visual flowchart with routers, iterators, and aggregators that make multi-branch scenarios easy to see and debug. Power Automate expresses conditions, switches, loops, and parallel branches through expressions and control actions, which is powerful but less visual. Teams that value seeing the whole flow at a glance often prefer Make.
Can either Make or Power Automate be self-hosted?
Not really. Make is a cloud-only service with no official self-hosting. Power Automate is a Microsoft-hosted cloud service — its desktop flows run locally, but orchestration and data flow through Microsoft's cloud. If keeping all workflow data on your own infrastructure is a hard requirement, an open-source platform like n8n is the one to look at instead.