Compare Microsoft Power Automate vs UiPath

Both tools in AI Workflow Automation
Pricing

Pricing Comparison

Microsoft Power AutomateMicrosoft Power Automate
Included with Microsoft 365$0

Basic cloud flows using standard connectors only

Power Automate Premium$15/user/mo

Premium connectors, attended desktop RPA, AI Builder credits, Dataverse

Power Automate Process$150/bot/mo

Unattended RPA for a single concurrent process, organisation-wide

Hosted Process$215/bot/mo

Unattended RPA with Microsoft-hosted infrastructure, no VM to manage

Process Mining add-on$5,000/tenant/mo

Enterprise process discovery and analysis, Premium plan required

UiPathUiPath
Community Edition$0

Free for individuals and small teams, Studio and limited robots, commercial use permitted

Automation Cloud Basic$25/mo

Entry self-serve tier, up to 2 robots, limited agent calls, single tenant

Standard$Custom

Production automation with Orchestrator, unlimited robots and users, agents included

Enterprise$Custom

Full governance, security controls, deployment flexibility, dedicated support and SLA

Add-ons$Custom

Document Understanding, AI Center, Process Mining and Test Cloud licensed separately

Features

Feature Comparison

Microsoft Power AutomateMicrosoft Power Automate
Cloud FlowsDesktop FlowsAttended RPAUnattended RPA1,000+ ConnectorsAI BuilderProcess MiningTask MiningDataverse StorageCopilot BuilderApproval FlowsTeams IntegrationSharePoint TriggersScheduled FlowsBusiness Process FlowsFlow AnalyticsOn-Premises GatewayEnvironment Governance
UiPathUiPath
Attended RobotsUnattended RobotsUiPath StudioStudioX Low-CodeOrchestratorDocument UnderstandingAI CenterAgentic AutomationTask MiningProcess MiningAutomation HubAction CenterTest AutomationCitrix AutomationIntegration ServiceData ServiceAutomation OpsCommunity Edition
Fit

Best For & Not For

Microsoft Power AutomateMicrosoft Power Automate
✅ Best For
IT and operations teams inside Microsoft-centric organisations, where SharePoint, Teams, Outlook and Dataverse are already the systems of record
Enterprises that need to automate legacy Windows desktop applications with no API, which browser-based and API-first tools simply cannot reach
Companies wanting approval workflows embedded natively in Teams and Outlook rather than bolted on through a third-party tool
Organisations running structured document processing at scale, where AI Builder can extract fields from invoices, forms and receipts inside the same platform
❌ Not For
Small teams outside the Microsoft ecosystem, since much of the value comes from bundled M365 entitlements you would not otherwise be paying for
Anyone budgeting for unattended RPA casually, because pricing jumps from per-user to per-bot and four concurrent processes alone run into hundreds of dollars monthly
Teams wanting simple self-serve setup, as licensing, environments, Dataverse and gateway configuration all demand real administrative effort
Users needing the long tail of consumer and indie SaaS connectors, which Zapier and Make cover far more comprehensively
UiPathUiPath
✅ Best For
Large enterprises with a dedicated automation centre of excellence, where a programme rather than a single workflow is being funded
Organisations automating legacy Windows applications, mainframe terminals, Citrix sessions and desktop ERPs that offer no API at all
Regulated industries such as banking, insurance and healthcare that need audit trails, governance and on-premise deployment options
Teams processing high volumes of semi-structured documents, where Document Understanding can extract fields from invoices, claims and forms at scale
❌ Not For
Small businesses and individual users beyond the free Community Edition, since production licensing moves quickly into five and six figures annually
Teams wanting rapid time to value, because reliable production automations typically require months of developer effort before they stabilise
Organisations whose processes live entirely in modern APIs and browsers, where an API-first platform is far cheaper and simpler
Buyers wanting transparent pricing, as Standard and Enterprise are quote-only and the real spend depends on robot mix and consumption units
Availability

Platform & Accessibility

Microsoft Power AutomateMicrosoft Power Automate
web-baseddesktopmobileapi
UiPathUiPath
web-baseddesktopapi
Use & Audience

Tasks & Who It's For

Integrations

Integrations

Microsoft Power AutomateMicrosoft Power Automate
Storage
SharePointOneDrive
Communication
Microsoft TeamsOutlook
Data & Spreadsheets
Excel
Database
DataverseSQL Server
CRM
SalesforceDynamics 365
Other
SAPAzure
Customer Support
ServiceNow
UiPathUiPath
Other
SAPWorkdayAzure
CRM
Salesforce
Customer Support
ServiceNow
Data & Spreadsheets
Microsoft Excel
Database
OracleSnowflake
Storage
SharePointGoogle Workspace
Communication
OutlookSlack
Use Cases

Real-world Use Cases

Microsoft Power AutomateMicrosoft Power Automate
1
Ravi manages IT for a 400-person engineering firm and built an approval flow that routes purchase requests through Teams, replacing an email chain that regularly lost requests and cutting approval time from five days to under one.
2
Helen runs finance at a manufacturer where invoices arrive as scanned PDFs. Her AI Builder flow extracts vendor, amount and date fields and writes them to Dataverse, removing roughly 30 hours of monthly keying from her team.
3
Tomasz automates operations at a logistics company using a legacy Windows dispatch system with no API. A desktop flow now logs in nightly and reconciles delivery records, ending a two-hour manual routine nobody wanted to own.
UiPathUiPath
1
Ananya heads automation at a health insurer and deployed unattended robots to process claims from a legacy system with no API, handling volume that previously required two and a half full-time staff.
2
Bjorn runs finance operations at a manufacturer and built a robot that reconciles supplier invoices against purchase orders nightly, catching a duplicate-payment pattern that had gone unnoticed for three quarters.
3
Leila manages shared services at a telecoms group and used attended robots to cut the time agents spend on post-call data entry, giving each agent roughly 50 minutes back per shift.
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