Make.com vs Power Automate 2026: Which Automation Platform Wins
Make.com beats Power Automate for multi-platform teams. Power Automate wins when your entire stack lives inside Microsoft 365. If you use Slack instead of Teams, Notion instead of SharePoint, or any non-Microsoft SaaS, Make gives you more flexibility, a better visual builder, and lower per-operation costs without ecosystem lock-in.
This comparison covers pricing, AI features, integration breadth, workflow builder quality, and enterprise use cases — the dimensions that actually drive the buy decision in 2026.
Quick verdict
| Dimension | Make.com | Power Automate |
|---|---|---|
| Best for | Multi-platform teams, agencies, startups | Microsoft 365 shops, IT departments |
| Visual builder | Canvas-based, module chains | Linear, step-by-step |
| Integrations | 1,800+ apps | 1,000+ connectors (deep Microsoft) |
| Pricing model | Operations-based | Per-user/month |
| Free tier | 1,000 ops/month | Yes (personal use) |
| AI features | Make AI Agents, Maia, Code App | Copilot Studio, AI Builder |
| RPA (desktop) | No | Yes — Power Automate Desktop |
| Ecosystem lock-in | None | Heavy Microsoft dependency |
| Self-hosted | No (cloud-only) | No (cloud-only) |
Pricing comparison
Make.com pricing
Make charges per operation — one operation = one module execution inside a scenario. You buy a monthly operations budget, and every trigger + action step burns from it.
| Plan | Price | Operations/month | Scenarios |
|---|---|---|---|
| Free | $0 | 1,000 | 2 active |
| Core | $9/month | 10,000 | Unlimited |
| Pro | $16/month | 10,000 | Unlimited |
| Teams | $29/month | 10,000 | Unlimited |
| Enterprise | Custom | Custom | Custom |
Operations scale independently — you can add 10K ops blocks to any paid plan. A scenario with 5 modules that runs 1,000 times/month consumes 5,000 operations. Source: make.com/en/pricing.
Power Automate pricing
Microsoft sells Power Automate per user or per process, not per execution volume.
| Plan | Price | What's included |
|---|---|---|
| Free | $0 | Personal desktop flows only |
| Premium | $15/user/month | Cloud + desktop flows, 5K AI Builder credits |
| Process | $150/bot/month | Unattended RPA automation |
| M365 included | Varies | Standard connectors only |
Users on Microsoft 365 Business or Enterprise get access to Standard connectors at no extra cost. Premium connectors (Salesforce, ServiceNow, SAP) require the $15 Premium plan. Source: microsoft.com/en-us/power-platform/products/power-automate.
Cost comparison at real-world usage
For a 5-person marketing team running ~50 automations/month, each with 8 steps:
- Make Teams ($29/month) — 10,000 ops covers ~1,250 runs. Add an extra 10K block ($9) if needed.
- Power Automate Premium ($15 × 5 = $75/month) — per-user model regardless of usage volume.
Make is significantly cheaper at this scale unless the team is already paying for Microsoft 365, in which case standard connectors are free.
Visual builder quality
Make's canvas-based scenario builder
Make uses a visual node graph — modules sit on a canvas and connect via data flow arrows. You can see branching logic, parallel paths, and data transformations at a glance. Complex multi-branch workflows are readable because you can zoom, reposition modules, and trace exactly which data flows where.
The builder supports:
- Filters between any two modules (conditional routing without a separate decision step)
- Error handlers that attach directly to a module
- Iterator + Aggregator pairs for processing arrays
- Built-in data transformation functions (text, date, math, JSON parsing)
Power Automate's linear flow editor
Power Automate uses a vertical list — actions stack top-to-bottom. This works well for simple linear flows (trigger → send email → log to SharePoint). It gets unwieldy when you add nested conditions, parallel branches, or loops, because you scroll a long vertical stack rather than scan a spatial canvas.
The editor has improved with Copilot integration (describe a flow in natural language and it generates the steps), but the underlying UX is still fundamentally linear.
Winner: Make for complex multi-branch workflows. Power Automate for straightforward Microsoft-to-Microsoft automations where the linear model matches the sequential task.
Integration ecosystem
Make: 1,800+ apps, no platform preference
Make supports 1,800+ app integrations including all major SaaS: Salesforce, HubSpot, Slack, Notion, Airtable, Shopify, Google Workspace, GitHub, Stripe, and OpenAI. Connections are first-class modules — you drag them onto the canvas and they behave identically regardless of whether you're connecting Google Sheets or a custom REST API via the HTTP module.
The HTTP module is particularly powerful: if your target app isn't natively supported, you build your own connector with a visual form — no code required.
Power Automate: 1,000+ connectors, Microsoft-first depth
Power Automate's 1,000+ connectors are divided into Standard and Premium tiers. The Standard tier is included with Microsoft 365 and covers Teams, SharePoint, Outlook, Excel, OneDrive, and Planner with native deep integration. If your workflow is entirely within the Microsoft ecosystem, the integrations are tight and reliable.
Outside Microsoft, the integrations are thinner. Connecting to Salesforce, Zendesk, or Jira requires Premium connectors (triggering the $15/user/month plan) and the integrations are generally less configurable than their Make equivalents.
Winner: Make for multi-vendor stacks. Power Automate for all-Microsoft environments.
AI features
Make AI Agents
Make launched AI Agents in 2025 — goal-driven automation modules that use LLMs to reason, decide, and act within a scenario. Rather than pre-defining every decision branch, you give the agent an objective and a set of tools (Make modules it can invoke), and it autonomously routes the logic.
Key AI capabilities:
- Make AI Agents: Goal-oriented modules that can call other Make scenarios as tools
- Maia: Conversational scenario builder — describe your automation in plain language, Maia generates the scenario
- Code App: Run native JavaScript or Python scripts inside any scenario for custom data transformations
- MCP Server: Expose Make scenarios as Model Context Protocol tools for external AI agents
- MCP Client: Call external MCP tools from within a Make scenario
Source: make.com/en/agentic-automation.
Power Automate + Copilot
Microsoft embeds Copilot throughout the Power Platform. In Power Automate:
- Copilot in the flow editor: Describe what you want in natural language and Copilot generates the flow steps
- AI Builder: Pre-built AI models for document parsing, form processing, object detection, and sentiment analysis — 5K credits/month included in Premium
- Copilot Studio: Build custom conversational AI agents that trigger Power Automate flows
- AI Prompts: Call Azure OpenAI or custom LLMs as a step inside any flow
Microsoft's AI integrations are deeper in document intelligence scenarios (invoice parsing, receipt scanning) because AI Builder has trained models for common business document types.
Winner: Make for agentic, open-ended AI automation. Power Automate for document intelligence and Microsoft Copilot ecosystem integration.
Enterprise features
Make Enterprise
- Organizations and Teams: Multi-team structure with role-based access
- Make Grid: Visual map of all active scenarios and their interconnections across the organization
- Audit logs: Full execution history with team-level filtering
- SSO: SAML 2.0 support
- Data residency: EU1, EU2, US1, US2 zones available
- White-label: OEM licensing to embed Make under your own brand
- Custom apps: Build proprietary app connectors via the Make Apps Editor
Power Automate Enterprise
- DLP policies: Data Loss Prevention policies enforced at the tenant level — critical for financial services and healthcare
- Managed Environments: Governance controls for capacity, connectors, and admin oversight
- Audit logging: Native integration with Microsoft Purview for compliance
- CoE Starter Kit: Center of Excellence toolkit for managing automations at scale across business units
- Conditional Access: Azure AD policies apply to all Power Platform access
Winner: Power Automate for compliance-heavy, regulated industries that are already deep in the Microsoft security stack (Azure AD, Purview, Intune). Make for organizations that need multi-cloud flexibility.
RPA and desktop automation
Power Automate Desktop is a significant differentiator. It ships free with Windows 10/11 and supports unattended RPA — automating legacy desktop applications, SAP GUI, Citrix, and web browsers without any API. If your workflows involve legacy on-premises software, Power Automate Desktop is a genuine capability Make does not replicate.
Make has no equivalent. It is cloud-native only and requires apps to have an API or webhook. If your process involves screen-scraping a desktop app, Power Automate wins by default.
Which platform for which use case?
| Use case | Best choice | Why |
|---|---|---|
| All-Microsoft org (M365, Teams, SharePoint) | Power Automate | Deep native connectors, included in M365 plan |
| Multi-SaaS stack (Slack, Notion, Salesforce) | Make | Better integrations, lower cost, flexible builder |
| Regulated/compliance-first enterprise | Power Automate | DLP policies, Purview audit, Azure AD governance |
| Agency / client work | Make | Multi-team orgs, white-label option |
| Legacy desktop / RPA | Power Automate | Power Automate Desktop included with Windows |
| AI agentic workflows | Make | Make AI Agents + MCP support |
| Budget-sensitive startup | Make | Operations-based pricing, generous free tier |
| Document intelligence (invoices, forms) | Power Automate | AI Builder trained models |
Ecosystem lock-in: the real long-term decision
This is the dimension that matters most for platform selection.
Power Automate is architecturally tied to Microsoft. The deepest integrations (SharePoint triggers, Teams adaptive cards, Excel bindings, Dynamics CRM actions) are only available inside Power Automate and don't map to external systems cleanly. If you ever move off Microsoft 365 — or if your org standardizes on Google Workspace — migrating your automations requires rebuilding them from scratch in another tool.
Make has no equivalent lock-in. Scenarios export to JSON and the platform operates independently of any vendor stack. Switching the underlying apps in a scenario (e.g., replacing HubSpot with Pipedrive) is a matter of swapping modules while keeping the workflow logic intact.
For organizations uncertain about their long-term Microsoft commitment — or managing a mix of tools across departments — Make is the safer architectural choice.
Getting started with Make
Start a free Make account — no credit card required. The free tier includes 1,000 operations/month and 2 active scenarios, which is sufficient to automate common workflows like form-to-CRM routing, social media posting, and lead notification.
If you use Apify for web data extraction, Make connects natively via the Apify + Make integration — run an Apify Actor and pipe the dataset into any downstream app directly from a Make scenario.
FAQ
Make.com is better for multi-platform teams using non-Microsoft SaaS. It offers a more flexible visual builder, operations-based pricing that scales cheaply, and 1,800+ app integrations without vendor lock-in. Power Automate is better for organizations fully committed to Microsoft 365, where its deep SharePoint, Teams, and Outlook integrations and included licensing make it the logical choice.
Yes, but with limitations. Power Automate supports 1,000+ connectors including Salesforce, Slack, and Google Workspace, but these are Premium connectors requiring a $15/user/month plan. The integrations are generally less configurable than their Make equivalents and the platform's UX is optimized for Microsoft-to-Microsoft workflows.
It depends on your stack. Power Automate is stronger for enterprises in the Microsoft ecosystem — it has better compliance controls (DLP policies, Purview audit logs, Azure AD governance) and RPA via Power Automate Desktop. Make is better for multi-vendor enterprise environments — it supports multi-team orgs, SSO, data residency zones, and has no ecosystem lock-in.
Make can replace Power Automate for cloud-based workflows involving non-Microsoft apps. It cannot replace Power Automate Desktop's RPA capabilities (automating legacy desktop and Citrix apps) or the deep Microsoft Copilot integrations. If your workflows are API-based and multi-platform, Make is a full replacement at lower cost.
Make starts at $0 (1,000 ops/month free) and scales to $9/month (Core) and $29/month (Teams). Power Automate is $15/user/month for Premium cloud flows. For a 5-person team, Make Teams costs $29/month vs Power Automate Premium at $75/month — Make is significantly cheaper unless Microsoft 365 licensing already covers standard connectors.
Yes. Make launched Make AI Agents in 2025 — goal-driven automation modules that use LLMs to reason and act autonomously within a scenario. Make also supports a native MCP server (expose scenarios as AI tools) and MCP client (call external AI tools from scenarios), making it compatible with Claude, GPT-4, and other agent frameworks.