comparison

Make vs Power Automate in 2026: Visual Flexibility vs Microsoft Ecosystem

A detailed comparison of Make and Power Automate covering visual builders, integration ecosystems, pricing models, AI features, enterprise compliance, and real deployment data from parallel testing.

The Bottom Line: Make is the better choice for cross-platform teams needing visual workflow design and operations-based pricing. Power Automate is the better choice for Microsoft-centric organizations that want to maximize existing licensing and need desktop RPA capabilities.

Make vs Power Automate: The Core Trade-Off

Make and Power Automate solve the same fundamental problem -- connecting applications and automating workflows -- but they approach it from opposite starting points. Make is platform-agnostic, designed for teams that use a mix of SaaS tools across vendors. Power Automate is platform-native, designed for organizations that have standardized on the Microsoft ecosystem. The overlap in capabilities is substantial, but each platform's architectural advantage in its core domain is difficult for the other to replicate.

Visual Builder Comparison

Make uses a horizontal canvas where modules (representing app actions) are connected by lines that show data flow. The layout resembles a flowchart, and data mapping between modules is visible at a glance. Users drag modules onto the canvas, connect them, and configure field mappings within each module. Conditional branching creates visual forks in the scenario. Iterators and aggregators handle arrays within the visual flow.

Power Automate uses a vertical sequential builder where steps stack top to bottom. Each step is a card that expands to show configuration. The layout is linear by default, with parallel branches and conditions creating indented sub-flows. The designer supports dynamic content insertion from previous steps. Switch cases and apply-to-each loops provide flow control.

Make's visual approach is generally preferred by users building complex, multi-branch scenarios because the entire flow is visible on one canvas. Power Automate's sequential approach is often faster for linear, single-path automations.

Integration Ecosystem

Make provides 2,000+ pre-built integrations covering SaaS applications across CRM, e-commerce, marketing, project management, finance, and developer tools. Each integration includes multiple modules (triggers and actions) with configurable parameters. The HTTP/webhook module connects to any REST API, extending Make's reach beyond pre-built integrations.

Power Automate provides 1,000+ connectors with particularly deep coverage of Microsoft services. SharePoint, Teams, Outlook, OneDrive, Dynamics 365, Azure, and Power Platform connectors offer granular control that no third-party tool matches. Non-Microsoft connectors (Salesforce, SAP, Oracle) are available but typically less feature-rich than their Make counterparts.

Pricing Comparison (as of April 2026)

Aspect Make Power Automate
Free tier 1,000 ops/mo, 2 active scenarios Included with M365 E3/E5 (limited)
Core/Premium $9/mo (10,000 ops) $15/user/mo (Premium connectors)
Pro/Process $16/mo (10,000 ops, advanced) $40/user/mo (Process Mining, RPA)
Teams $29/mo (10,000 ops, team features) Per-user or per-flow licensing
Enterprise $34/mo (10,000 ops) + custom Custom enterprise agreements

Make's pricing is operations-based and shared across the team -- one account serves the entire organization. Power Automate's pricing is typically per-user or per-flow, which scales differently. For a team of 20 users, Make at $29/month is significantly cheaper than Power Automate Premium at $300/month (20 x $15). However, if the organization already pays for Microsoft 365 E3 or E5, basic Power Automate flows are included at no additional cost.

AI Features (2026)

Make introduced an AI scenario builder in beta that generates scenario drafts from natural language descriptions. The feature suggests modules and field mappings based on the described workflow. AI-powered data mapping suggests connections between fields across different apps.

Power Automate integrates with Microsoft Copilot, allowing users to describe flows in natural language and receive generated flow drafts. AI Builder provides document processing (form recognition, receipt processing, invoice extraction), text classification, and prediction models that can be embedded directly into flows. These AI capabilities are more mature than Make's, benefiting from Microsoft's broader AI investment.

Enterprise and Compliance

Power Automate provides enterprise governance features through the Power Platform admin center: data loss prevention policies, environment management, connector restrictions, and audit logging. Organizations can control which connectors are available to which users and enforce data residency requirements. SOC 2, ISO 27001, GDPR, and HIPAA compliance certifications cover Power Automate as part of the Microsoft Cloud.

Make provides SOC 2 Type II certification, GDPR compliance, and regional data processing options (EU and US). Team and Enterprise plans include role-based access control, audit logging, and shared workspaces. Make's governance features are functional but less granular than Power Automate's enterprise administration capabilities.

Editor's Note: For organizations already paying for Microsoft 365 E3 or E5 licenses, Power Automate is essentially free for basic automation. The cost argument for Make only becomes compelling when the team needs extensive non-Microsoft integrations or when per-user Power Automate Premium pricing exceeds Make's team plan. We have seen both patterns: a 50-person law firm chose Power Automate because it was included, and a 30-person e-commerce company chose Make because 80% of their integrations were non-Microsoft apps.

Who Should Choose Which

Choose Make when:

  • The tech stack spans multiple vendors (Shopify, Google, Slack, HubSpot, etc.)
  • Visual scenario design with data flow visibility is important
  • Operations-based pricing is more cost-effective than per-user licensing
  • The team needs deep data transformation and conditional logic

Choose Power Automate when:

  • The organization runs on Microsoft 365 and wants to maximize existing licenses
  • Desktop RPA is needed for legacy application automation
  • AI Builder features (document processing, text classification) add value
  • Enterprise governance (DLP policies, environment management) is required

Bottom Line

Make is the platform-agnostic visual builder for cross-platform teams. Power Automate is the Microsoft-native automation platform for organizations invested in the Microsoft ecosystem. Both are production-ready; the decision is driven by ecosystem alignment and pricing model preference rather than a clear feature winner.

Written & reviewed by Rafal Fila · Last updated:

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Common Questions

What should teams do now that Relay.app is shutting down?

Relay.app announced on 16 July 2026 that it is shutting down. Free accounts and all their data are permanently deleted after 15 August 2026 at 23:59 PT, and paid accounts after 14 September 2026 at 23:59 PT, with paying customers keeping full access at no charge until that date. Export the workspace archive well before the deadline, because generation can take up to 24 hours and the emailed download link expires after 48; for the human-in-the-loop workflows Relay.app was usually bought for, Zapier and n8n are the only platforms evaluated here where a reviewer can edit an AI draft mid-run without custom development.

How much does Keystroke cost in 2026?

Keystroke offers three tiers as of July 2026: Hobby (free forever, with $1/month of included usage credit), Pro ($20/month, including $20/month of usage credit), and Organization (custom pricing with SSO, RBAC, and audit logs). Usage is metered on every tier: $0.01 per agent or workflow run, $0.005 per empty poll, $0.007 per web search, roughly $0.067 per hour of sandbox compute, and a 1.1x markup on AI model calls unless you bring your own API keys.

What is Keystroke?

Keystroke is a code-first workflow automation and AI agent platform, launched July 13, 2026 by Y Combinator-backed Sprint Labs, that positions itself as an n8n alternative built for AI coding agents. Workflows are written as typed TypeScript in the user's own repository, usually by agents such as Claude Code, Cursor, or Codex, and deployed to Keystroke's managed cloud or self-hosted under the source-available Elastic License 2.0.

Is Keystroke worth it in 2026?

Keystroke earns a provisional 6.5/10 in its July 2026 open alpha: the agent-native TypeScript model is genuinely differentiated and the free Hobby tier makes it safe to trial, but the platform is pre-1.0 (npm at v0.1.98, public repository published July 13, 2026), has no third-party production track record, and its Elastic License 2.0 restricts offering it as a hosted service. Worth trialing for teams that build through coding agents; too young for production-critical workflows.