AI Automation

Make vs Microsoft Power Automate: Which Should You Use?

A practical comparison of features, pricing, ease of use, best use cases and value for money.

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Quick verdict

Best overall

Make

Best for beginners

Microsoft Power Automate

Best value

Make

Best for professionals

Make

Best free option

Make

Final recommendation

Choose Power Automate when the work lives inside Microsoft 365 and governance is procurement-led. Choose Make for everything else — especially multi-vendor SaaS automation with real conditional logic.

Side-by-side

Make vs Microsoft Power Automate at a glance

Criteria	Make	Microsoft Power Automate
Main use case	Cross-SaaS process automation	Microsoft 365 and Dataverse workflows
Builder model	Visual scenario canvas	Linear flow designer + RPA
Branching logic	Routers, filters, iterators, aggregators	Conditions and switches
Pricing model	Per operation, published tiers	Per user / per flow, premium connectors extra
Free plan	1,000 operations per month	Limited trial and seeded 365 entitlements
Self-hosting	No	No (cloud + on-prem gateway)
RPA / desktop automation	Not offered	Power Automate Desktop
AI capability	AI modules and AI Agents	AI Builder and Copilot
ToolMoneyLab score	90 / 100	84 / 100
CTA	Try Make →	Try Microsoft Power Automate →

Choose Make if…

Choose Make if your stack spans many SaaS vendors, your processes branch, and you want per-operation costs you can forecast.

Choose Microsoft Power Automate if…

Choose Power Automate if you are standardised on Microsoft 365, need enterprise DLP governance, or require desktop RPA against legacy Windows apps.

Feature-by-feature breakdown

The details that matter

Feature	Make	Microsoft Power Automate
Learning curve	Moderate — routers and mapping take practice	Easy to start, harder to govern
Integration breadth	Thousands of apps + generic HTTP	Excellent for Microsoft, thinner elsewhere
Cost predictability	Operations are countable in advance	Depends on seats and premium connectors
Governance	Teams, roles and workspace controls	Enterprise-grade DLP, environments, Entra ID
AI workflows	Model modules plus tool-calling agents	AI Builder models and Copilot authoring
Observability	Full execution logs per run	Run history in the Power Platform admin centre

Pricing comparison

What you'll actually pay

Make publishes per-operation tiers (free, Core, Pro, Teams, Enterprise). Power Automate pricing depends on seats, per-flow licences and premium connectors inside your Microsoft agreement — confirm both before committing.

Pricing changes frequently, so always check the official website before subscribing.

Pros and cons

What we liked and didn't

Make — Pros

Canvas-based scenarios with real branching and array handling
Operations-based pricing that stays predictable at volume
Thousands of connectors plus a generic HTTP module for anything missing
AI modules and AI Agents on the same canvas as deterministic steps

Make — Cons

Steeper learning curve than linear automation tools
No self-hosting option

Microsoft Power Automate — Pros

Deepest possible integration with Microsoft 365, Teams and Dataverse
Enterprise governance, DLP policies and Entra ID identity built in
Desktop RPA flows for legacy Windows applications
Often already licensed inside existing Microsoft agreements

Microsoft Power Automate — Cons

Licensing and premium-connector rules are hard to reason about
Weaker experience for non-Microsoft, multi-vendor SaaS stacks
Flow designer is less legible than a scenario canvas for complex logic

Final verdict

The bottom line

Choose Make if…

Choose Make for general-purpose automation with real logic and predictable unit cost.

Choose Microsoft Power Automate if…

Choose Power Automate when Microsoft 365 governance and desktop RPA are the requirement.

Explore the Make ecosystem →

The Tool Money Lab Verdict

Our editorial call on Make vs Microsoft Power Automate

After spending real time with both Make and Microsoft Power Automate, our editorial view is that these tools solve overlapping problems in very different ways. Make is built for ops teams automating branching processes across many saas tools., while Microsoft Power Automate is aimed at enterprises standardised on microsoft 365, dataverse and entra id.. Neither is objectively "better" — the right answer depends on the work you actually do, not on which product has the flashier launch video.

Make takes the edge on our internal scorecard (90/100 vs 84/100), but that headline number hides the nuance. Make tends to win on canvas-based scenarios with real branching and array handling, while Microsoft Power Automate pulls ahead on deepest possible integration with microsoft 365, teams and dataverse. If your workflow leans heavily into either of those, the "winner" for you changes.

Our recommendation is to pick the tool that matches the way you already work, rather than the one with the broader marketing footprint. The gap between them is not large enough to justify fighting your own habits — but it is large enough that the wrong choice will cost you time every day for months.

We recommend Make to…

Ops teams automating branching processes across many SaaS tools

We recommend Microsoft Power Automate to…

Enterprises standardised on Microsoft 365
Dataverse
Entra ID

Where Make clearly wins

Canvas-based scenarios with real branching and array handling
Operations-based pricing that stays predictable at volume
Thousands of connectors plus a generic HTTP module for anything missing

Where Microsoft Power Automate clearly wins

Deepest possible integration with Microsoft 365, Teams and Dataverse
Enterprise governance, DLP policies and Entra ID identity built in
Desktop RPA flows for legacy Windows applications

Trade-offs to know

Make: Steeper learning curve than linear automation tools
Microsoft Power Automate: Licensing and premium-connector rules are hard to reason about

Value for money

On pure value, Make currently offers the stronger price-to-capability ratio for its target audience, but Microsoft Power Automate remains the better spend when its speciality is the deciding factor.

Overall recommendation

Most readers should start with Make for ops teams automating branching processes across many saas tools., and consider Microsoft Power Automate when enterprises standardised on microsoft 365, dataverse and entra id. is the dominant use case.

Why we made this recommendation

How The Tool Money Lab evaluates every comparison

Every comparison published by The Tool Money Lab is written by editors who use these products in day-to-day work. We weigh the factors below against the reader profile the comparison is aimed at, and we call out situations where the affiliate-linked product is NOT the right choice. Where we have used a product extensively ourselves — Lovable is the clearest example, since this site is built with it — we disclose that in the review. Where a recommendation includes affiliate links, we may earn a commission when you sign up, at no additional cost to you. Affiliate relationships never change the editorial conclusion: if the paid product is worse for you, we say so.

Features

Ease of use

Performance

Reliability

Security

Privacy

Value for money

Business suitability

Ecosystem

Customer support

Long-term usability

Commercial model

Real-world testing where applicable

Independent research

Disclosure: pages on The Tool Money Lab may contain affiliate links. We may earn a commission when you sign up through them, at no additional cost to you. Affiliate relationships never change our editorial conclusion — if a paid product is the wrong choice for you, we say so.

Try them yourself

AI Automation

Make

Visual automation with routers, iterators and AI modules.

Best for: Ops teams automating branching processes across many SaaS tools.

Try Make →Read review

AI Automation

Microsoft Power Automate

Microsoft's workflow engine for the 365 and Dataverse stack.

Best for: Enterprises standardised on Microsoft 365, Dataverse and Entra ID.

Try Microsoft Power Automate →

Disclosure: We may earn a commission if you sign up through links on this page, at no additional cost to you. Our comparisons remain independent and based on practical testing.

Frequently asked

Make vs Microsoft Power Automate FAQ

Is Make better than Power Automate?+

For multi-vendor SaaS automation with branching logic, yes. Power Automate is the stronger choice when the workflow lives inside Microsoft 365 and Dataverse or needs desktop RPA.

Which is cheaper?+

Make is usually easier to forecast because it bills operations. Power Automate can be cheaper if it is already bundled in your Microsoft licensing — until premium connectors are required.

Can Make replace Power Automate entirely?+

For cloud workflows, often yes. It cannot replace Power Automate Desktop for robotic process automation against legacy Windows software.

Which is better for AI workflows?+

Make, for most teams — model modules and AI Agents sit on the same canvas as deterministic steps. Power Automate's AI Builder is strong when the data already lives in Dataverse.

Which should a small business pick?+

Make. The free tier proves the workflow, Core and Pro stay inexpensive, and there is no licensing negotiation involved.

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