Make vs Microsoft Power Automate (2026): Pricing, Features & Winner

AI Overview: Make vs Microsoft Power Automate — Quick Verdict

Make wins for cross-app visual automation; Power Automate is the better fit when Microsoft 365, SharePoint and desktop RPA dominate. There is no universal winner. Choose Make when your priority is visual builders who want deeper branching, data transformation, ai agents and more control than a simple trigger-action tool; choose Microsoft Power Automate when your priority is organizations already invested in microsoft 365, teams, sharepoint, dataverse and windows desktop automation. Our overall editorial winner for this specific comparison is Make, but the better platform changes with your app stack, monthly volume, technical skill and governance requirements.

This comparison uses current official pricing and product information verified on 2026-09-14. It does not claim private performance benchmarks we have not measured. Instead, it compares the factors that usually change the buying decision: workflow design, pricing unit, integrations, AI, error handling, team governance and long-term maintenance.

At-a-Glance Comparison

Area	Make	Microsoft Power Automate
Best for	Visual builders who want deeper branching, data transformation, AI agents and more control than a simple trigger-action tool	Organizations already invested in Microsoft 365, Teams, SharePoint, Dataverse and Windows desktop automation
Pricing snapshot	Free: up to 1,000 credits/month; Core: $12/month for 10k credits; Pro: $21/month for 10k credits; Teams: $38/month for 10k credits; Enterprise is custom.	Power Automate Premium: $15/user/month paid yearly; Process: $150/bot/month; Hosted Process: $215/bot/month. Regional pricing and tax vary. A 30-day trial is available.
Free option	Yes	30-day trial
AI direction	Make’s 2026 direction includes advanced AI and automation features, with Pro positioned for more advanced AI use and the platform expanding agentic workflows.	Power Automate sits inside Microsoft Power Platform and can combine low-code flows, desktop RPA, AI capabilities and business data.
Editorial winner	Make — Make wins for cross-app visual automation; Power Automate is the better fit when Microsoft 365, SharePoint and desktop RPA dominate.

Make vs Microsoft Power Automate: The Core Difference

Make is designed around visual builders who want deeper branching, data transformation, ai agents and more control than a simple trigger-action tool, while Microsoft Power Automate is strongest for organizations already invested in microsoft 365, teams, sharepoint, dataverse and windows desktop automation. That difference shapes the entire experience. In Make, the standout characteristics are visual scenario builder, routers and filters and strong data transformation. In Microsoft Power Automate, the strongest characteristics are deep Microsoft ecosystem integration, cloud flows and desktop RPA and attended and unattended automation options.

A buyer should begin with architecture, not branding. Write down the five systems that must exchange data, the number of monthly runs, the complexity of branching, whether code or APIs are required, and whether the workflow contains sensitive information. The answer to those questions often makes the winner obvious before you compare cosmetic features.

Workflow Building Experience

Imagine the same practical workflow in both tools: New lead → router by source → enrich → score → create CRM record → assign owner → send tailored notification. In Make, you would benefit most from routers and filters and strong data transformation. In Microsoft Power Automate, the equivalent build benefits from cloud flows and desktop RPA and attended and unattended automation options. The easier option depends on whether the builder prefers guided no-code setup, a visual canvas, technical nodes, or a Microsoft-style low-code environment.

For production use, the winning builder is the one your team can maintain six months later. Check how the platform names steps, shows input/output data, exposes failed runs, supports replay or retries, and lets you understand branching. A complex automation with poor observability usually costs more than a slightly more expensive plan with clear execution history.

Pricing: Do Not Compare Monthly Prices Alone

Make pricing

Free: up to 1,000 credits/month; Core: $12/month for 10k credits; Pro: $21/month for 10k credits; Teams: $38/month for 10k credits; Enterprise is custom.

Microsoft Power Automate pricing

Power Automate Premium: $15/user/month paid yearly; Process: $150/bot/month; Hosted Process: $215/bot/month. Regional pricing and tax vary. A 30-day trial is available.

The key difference is the billing unit. Automation vendors may charge by task, workflow execution, credit, user or bot. Before choosing a platform, model three volumes: your current monthly usage, twice that amount, and ten times that amount. Then include hidden operational costs such as server hosting, maintenance time, premium connectors, AI model charges and the cost of a failed business process.

Integrations and Extensibility

Make: Make lists 3,000+ apps and is especially strong where users need routers, iterators, data mapping and multi-branch logic.

Microsoft Power Automate: Its biggest advantage is not raw app count but native fit with Microsoft 365, SharePoint, Teams, Dynamics, Dataverse and Windows.

Do not treat an integration-directory logo as proof that your use case works. Open the actual connector and verify the trigger, actions, authentication method and fields you need. For custom or internal systems, prioritize webhooks, HTTP/API requests, code execution, database access or MCP. This is where two platforms with similar app lists can feel completely different.

AI and Agentic Automation

Make: Make’s 2026 direction includes advanced AI and automation features, with Pro positioned for more advanced AI use and the platform expanding agentic workflows.

Microsoft Power Automate: Power Automate sits inside Microsoft Power Platform and can combine low-code flows, desktop RPA, AI capabilities and business data.

For most businesses, AI should sit inside a controlled workflow rather than replace the entire workflow. Use models for classification, extraction, summarization, routing suggestions or drafting. Keep payments, record deletion, account permissions and other irreversible actions behind deterministic rules or human approval. The better platform is the one that makes that separation easy to design and audit.

Error Handling, Reliability and Maintenance

The biggest operational risk in Make is that large scenarios can become visually complex; in Microsoft Power Automate, it is that RPA deployment needs careful governance. When testing either platform, intentionally send missing fields, duplicate records, expired credentials and API errors. A tool should help you identify the failed step, inspect the payload, retry safely and notify an owner without creating duplicate side effects.

For high-value workflows, maintain a manual fallback. If the automation handles customer onboarding, invoices or sales leads, define what the team does when the workflow is paused for an hour. Reliability is not the absence of failure; it is the ability to detect, understand and recover from failure quickly.

Team Collaboration, Security and Governance

Make: Teams adds team roles and shared scenario templates; Enterprise adds stronger security, support, overage protection and enterprise integrations.

Microsoft Power Automate: Designed for enterprise administration through Microsoft environments, security, Dataverse entitlements, process mining and managed bot options.

Small teams may not need enterprise governance today, but they should still understand how credentials, user permissions and workflow ownership work. As automations grow, look for separate environments, shared connections, SSO, audit logs, secrets management, roles and change history. If a platform is used for HR, finance or customer data, governance can outweigh convenience.

When Make Is the Better Choice

You need visual scenario builder.
You value routers and filters.
Your workflows benefit from strong data transformation.
Your team fits the profile: Visual builders who want deeper branching, data transformation, AI agents and more control than a simple trigger-action tool.
You accept the trade-off that steeper learning curve than beginner-first tools.

When Microsoft Power Automate Is the Better Choice

You need deep Microsoft ecosystem integration.
You value cloud flows and desktop RPA.
Your workflows benefit from attended and unattended automation options.
Your team fits the profile: Organizations already invested in Microsoft 365, Teams, SharePoint, Dataverse and Windows desktop automation.
You accept the trade-off that licensing can be difficult to understand.

Four Decision Scenarios

Small agency

An agency handling forms, CRM updates, client notifications and reporting should prioritize maintainability and predictable cost. Make is the default recommendation from this comparison, but verify the exact app connectors before migrating.

Technical AI automation team

If the workflow combines APIs, AI models, databases and custom logic, compare code flexibility, execution history and deployment control more heavily than template count. Make has an advantage when strong data transformation matters; Microsoft Power Automate is stronger when attended and unattended automation options is the priority.

Microsoft-heavy company

If Teams, SharePoint, Dataverse and Windows desktop processes dominate, Microsoft Power Automate deserves extra weight even when it is not the overall winner. Ecosystem fit can matter more than general popularity.

High-volume repetitive workflow

At high volume, rebuild the cost model with actual tasks, executions or credits rather than starter-plan pricing. The cheaper product at 1,000 runs may not be the cheaper product at 100,000 runs.

Migration Considerations

If you are moving from Make to Microsoft Power Automate or the other way around, do not migrate every automation at once. Start with a low-risk but representative workflow. Document triggers, filters, field mappings, credentials, schedules, error paths and current monthly volume. Rebuild it in the new platform, run both in parallel with duplicate-safe outputs, and compare reliability before switching production traffic.

Pay special attention to differences in billing semantics. A task in one product may not equal a workflow execution or credit in another. Also confirm webhook URLs, API rate limits, date/time formatting, timezone behavior and how each platform represents null values. These small differences cause many migration failures.

Final Verdict

Our editorial winner is Make. Make wins for cross-app visual automation; Power Automate is the better fit when Microsoft 365, SharePoint and desktop RPA dominate. If your requirements are close, run a two-week proof of concept with the same workflow and real sample data in both products. Measure build time, monthly cost, failed-run recovery, clarity of logs, and how quickly a second person can understand the workflow. That produces a better decision than choosing based on a feature checklist alone.

Make vs Microsoft Power Automate: FAQs

Which is easier to use, Make or Microsoft Power Automate?

Make emphasizes routers and filters, while Microsoft Power Automate emphasizes cloud flows and desktop RPA. Ease of use depends on whether your team prefers guided no-code setup, a visual canvas or technical control.

Which is cheaper, Make or Microsoft Power Automate?

It depends on the workload because the platforms may bill different units. Use your actual monthly run/task volume and include AI or infrastructure costs.

Which is better for AI automation?

Make: Make’s 2026 direction includes advanced AI and automation features, with Pro positioned for more advanced AI use and the platform expanding agentic workflows. Microsoft Power Automate: Power Automate sits inside Microsoft Power Platform and can combine low-code flows, desktop RPA, AI capabilities and business data. Choose based on how much control, human approval and model integration your workflows require.

Which is better for teams?

Make: Teams adds team roles and shared scenario templates; Enterprise adds stronger security, support, overage protection and enterprise integrations. Microsoft Power Automate: Designed for enterprise administration through Microsoft environments, security, Dataverse entitlements, process mining and managed bot options. Compare the exact plan that includes the controls your organization needs.

Can I migrate between Make and Microsoft Power Automate?

Yes, but workflows are not usually one-click portable. Rebuild and test in stages, especially when the products count tasks or executions differently.

What should I test before choosing?

Build one representative workflow with a branch, a failure path and a real downstream system. Track build time, unit consumption, error recovery and maintainability.

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Sources and Last Verification

Make official pricing: https://www.make.com/en/pricing | Microsoft Power Automate official pricing: https://www.microsoft.com/en/power-platform/products/power-automate/pricing | Last checked: 2026-09-14. Re-verify prices, credits and plan limits immediately before publication because vendor packaging changes frequently.

Make vs Microsoft Power Automate 2026: Which Is Better?