Power Automate vs Make(2026)

Power Automate vs Make: which one should you actually pick?

Power Automate and Make are both visual automation tools, but they're built for completely different worlds. Power Automate is Microsoft's flow engine — deeply wired into M365, Dynamics, SharePoint, Dataverse, and Azure, with desktop RPA baked in. Make is a vendor-neutral SaaS automation canvas, cheap per-op pricing, and modules that work across whatever stack you've actually bought.

The split is almost always about how much Microsoft you run. If your company lives in M365 and Dynamics, Power Automate is the easy answer — it's already in your license, the connectors are first-class, and IT won't fight the procurement conversation. If your stack is a mix of HubSpot, Stripe, Slack, Notion, and everything else, Make gives you a better visual canvas, cleaner logic, and dramatically cheaper pricing.

The short version: Pick Power Automate if you're a Microsoft shop, need desktop RPA, or want the cleanest compliance story (HIPAA BAA included with M365). Pick Make if you run a multi-vendor SaaS stack, need complex branching with routers and iterators, or want the cheapest per-op pricing.

When Power Automate is the right pick

• You live inside Microsoft 365 or Dynamics. Connectors for Outlook, Teams, SharePoint, and Dataverse are richer than anywhere else
• You need desktop RPA. Power Automate Desktop is included — attended bots to automate legacy apps that don't have APIs
• Compliance is a hard requirement. Microsoft's BAA covers Power Automate for M365 customers out of the box
• EU data residency matters. Pick an EU environment and your data stays there — built in, not a sales conversation
• Your security team blocks third-party SaaS. Power Automate lives inside the Microsoft tenant you already trust

When Make is the right pick

• You run a multi-vendor SaaS stack. Make's 2,000+ modules are vendor-neutral and tend to be deeper per-app than Power Automate's third-party connectors
• You need the visual canvas. Routers, iterators, aggregators, error handlers — Make's flow logic is way easier to read than Power Automate's vertical-list builder
• You want the cheapest hosted pricing. Make Core starts around $10.59/mo on annual billing for 10K ops
• Complex branching matters. Make handles parallel paths, loops, and error routes cleanly; Power Automate's branching is fine but less elegant
• You're a small team without a Microsoft enterprise agreement. Per-user pricing on Power Automate gets expensive fast for small shops

Pricing — per-user vs per-op

Power Automate's Premium plan is $15/user/mo — reasonable if you have a handful of flow builders, painful if you want automations running across a 500-person org. Unattended RPA (Process plan) is another $150/bot/mo. Most companies who adopt Power Automate are inside an existing M365/Enterprise Agreement where pricing gets negotiated, so the sticker isn't always what you pay.

Make's Core plan is ~$10.59/mo on annual billing for 10K operations. Predictable per-op pricing, no per-seat tax. You can give the whole team access and the bill doesn't change.

The math: a 3-person ops team running 5K operations a month pays ~$10/mo on Make and ~$45/mo on Power Automate. But a 200-person company where only 10 people build flows and everyone benefits? Power Automate at $150/mo (premium seats only) is fine — and probably already in the M365 bundle.

Logic and workflow complexity

Make's canvas is the best visual builder in the category. Routers split paths, iterators handle loops, aggregators collect results, and error handlers route failures — all as visible modules on the canvas. You can trace exactly what will happen before the flow runs.

Power Automate has all the primitives (conditions, switches, apply-to-each loops, scopes with try/catch), but the builder is a vertical list, not a canvas. Complex flows with multiple parallel branches get cramped fast, and nested loops are harder to follow visually. It's perfectly capable — just more awkward.

For workflows beyond 10-15 steps with real branching, Make is easier to maintain. For flows that live inside the Microsoft ecosystem and hand off between M365 apps, Power Automate's vertical model is fine because the logic stays tight.

Code and customization

Both platforms lean visual, but differ in the escape hatches.

Power Automate uses expressions (a Microsoft-flavored formula language similar to Excel) for data transformation. Powerful if you know it, steep learning curve if you don't. For custom code, you can call Azure Functions or Logic Apps, but that pushes you off-platform.

Make has a Code module for light JavaScript transformations — limited but workable. For heavier custom logic, you're calling HTTP endpoints to your own service. Make's strength isn't code; it's that most transformations can be done with native modules (Set Variable, Iterator, Aggregator, Array Aggregator) without writing code at all.

If your team writes code and wants to stay in-platform, neither is great — look at Pipedream or n8n. Between these two, Power Automate gives you Azure Functions integration; Make keeps everything visual.

AI and MCP

• Power Automate: Copilot Studio for AI agents, AI Builder for document AI and prediction, MCP support emerging through Copilot Studio. Deep Microsoft 365 Copilot integration — agents can read your email and calendar natively.
• Make: Custom MCP server that exposes scenarios as tools for any MCP client, AI-native module support, and bring-your-own-LLM. Solid for adding AI to existing visual workflows.

If you're building AI agents inside the Microsoft ecosystem, Power Automate + Copilot Studio wins by a mile. If you're adding AI to vendor-neutral workflows, Make's MCP server and module-based AI steps are cleaner.

Compliance and data residency

This is where Power Automate pulls away hard.

• HIPAA BAA: Power Automate is covered under Microsoft's BAA for M365 customers. Make does not sign a BAA out of the box
• EU data residency: Both offer EU hosting. Power Automate via EU environments in your tenant; Make on every paid plan
• SOC 2: Both are SOC 2 Type II
• FedRAMP: Power Automate has a dedicated GCC High offering; Make does not
• Data sovereignty: Power Automate runs inside the Microsoft cloud you likely already trust. Make is a separate vendor conversation

For regulated industries (healthcare, government, financial services), Power Automate's compliance story is cleaner. For general SaaS workflows without HIPAA/FedRAMP scope, Make's residency-on-every-plan is enough.

Desktop RPA

This is Power Automate's other unique lane. Power Automate Desktop lets you automate legacy desktop apps — the ones without APIs that your finance team clicks through daily. Attended RPA is included on Premium; unattended is the $150/bot/mo Process plan.

Make doesn't do desktop RPA at all. If you need to automate a Windows desktop app, Power Automate or a dedicated RPA tool (UiPath, Automation Anywhere) is the only answer between the two.

Migration between them

Power Automate → Make migrations are usually painful because the connector ecosystems don't overlap cleanly. Microsoft-specific connectors (Dataverse, SharePoint, Dynamics) don't have direct Make equivalents — you'd use the underlying Microsoft Graph APIs. Worth it if you're leaving Microsoft anyway or want cheaper pricing; otherwise a hard sell.

Make → Power Automate is rarer, usually driven by compliance (needing HIPAA BAA) or consolidation into a Microsoft enterprise agreement. The logic ports cleanly but you'll rebuild the canvas as a vertical list.

The honest call

Power Automate is the right answer if you're a Microsoft shop, need desktop RPA, require HIPAA or FedRAMP compliance, or want automation bundled into an existing M365/Dynamics agreement.

Make is the right answer if you run a multi-vendor SaaS stack, need the best visual canvas for complex branching, want the cheapest per-op pricing, or don't want to be locked into the Microsoft ecosystem.

Both are production-ready for non-technical builders, and neither self-hosts. If self-hosting matters, look at n8n. If your team writes code anyway, look at Pipedream. For other matchups, browse Integration Atlas or check the app integration catalog and automation guides.