Make vs Workato

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionMakeWorkato
PricingFreemiumContact sales
Target UserMarketing, ops, IT teams (SMB to enterprise)Enterprise IT & ops teams
Integration Count3,000+ apps with pre-built connectorsHundreds of enterprise SaaS connectors (e.g., Salesforce, SAP, Workday)
AI Agent FeaturesMake AI Agents, Library of Agents, Make MCP ServerAgent Studio, Agent Orchestration, Enterprise MCP Gateway, Genies, AIRO multi-agent system (GA)
Notable Add-onsSub-scenarios, data stores, webhooksEvent Streams (cross-workspace sharing), Data Pipelines (Databricks, Redshift), IDP (up to 50 pages, 50MB, 100-line tables)
Automation ComplexityMedium – visual builder with advanced logic, but simpler than Workato's AI orchestrationHigh – enterprise-grade governance, multi-agent orchestration

If you're an enterprise needing governed, security-first AI agent orchestration across critical systems like SAP or Workday, Workato is the clear choice despite opaque pricing. For most teams (marketing, ops, SMBs) wanting a powerful, visual automation platform with a generous free tier and 3,000+ connectors, Make delivers exceptional value and flexibility. Decide based on your scale and governance needs: Workato for heavy compliance and multi-agent AI, Make for fast, versatile workflow automation without enterprise overhead.

Try MakeTry Workato
Make
Make

Visual AI automation platform for building workflows and AI agents across 3,000+ apps

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Workato
Workato

Enterprise iPaaS and agent control plane for governing AI agents across 14,000+ apps

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Pricing
Freemium
Contact Sales
Plans
$0/mo
$9/mo
$16/mo
Custom
—
Popularity
4.8k views
3.2k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Web
WebAPICLI
Categories
🤖 Automation & Agents
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration
Features
Drag-and-drop scenario builder for visual workflow design
3,000+ pre-built app connectors plus custom API actions
Routers, filters, aggregators, and iterators for data transformation
Make AI Agents that take action across connected apps
Library of ready-made AI agents to deploy and adapt
Make MCP Server linking AI models to business actions
Maia by Make: build automations and agents via natural conversation
Build by prompt, drag-and-drop, or via MCP
Agentic automation that adapts in real time to business needs
Make Grid for managing your whole automation landscape visually
Error handling with rollback
Real-time execution logs and monitoring
Sub-scenarios for modular workflow design
Data stores for persistent workflow state
Enterprise security: SSO, encryption, GDPR, SOC 2 Type II, SOC 3
Recipe-based workflow automation with an orchestration engine that runs work exactly once
Agent Studio for building custom AI agents, with skills testable directly in the editor
Agent Orchestration for coordinating multiple agents, including third-party and A2A
Enterprise MCP Gateway and composable MCP servers for secure AI-to-process connectivity
MCP Apps with interactive UI surfaced inside AI clients
Pre-built Genies for IT, sales, HR and recruiting, support, CX, and marketing
Run one Genie across multiple Slack workspaces, Teams tenants, Workato GO, and custom interfaces
Agentic Headless API (open beta) to deploy Genies in web apps, mobile apps, and portals
End-user thumbs up/down feedback on Genie responses
AIRO multi-agent system, generally available, with a stop-generation button
AI gateway and routing to control which models each team can use
Guardrails and approvals so a person signs off on consequential agent actions
RBAC, audit and activity logs, data masking, and data residency controls
API management and lifecycle for exposing and governing APIs
Intelligent document processing for scanned and structured documents
Integrations
OpenAI
HubSpot CRM
monday.com
NetSuite
Salesforce
Slack
Canva
Perplexity AI
DeepSeek AI
Marketo
ServiceNow
Workday
SAP
Oracle
AWS
Azure
Google Cloud
Databricks
Snowflake
Jira
Zendesk

Feature-by-feature

Workato and Make both offer visual workflow builders, but their core strengths diverge sharply. Workato is an enterprise iPaaS that now pivots to AI agent governance: Agent Studio lets you build custom AI agents, Agent Orchestration coordinates multiple agents, and the Enterprise MCP Gateway secures AI-to-API connectivity. Its pre-built Genies (e.g., IT Support Genie) provide department-specific AI assistants, and the AIRO multi-agent system is GA as of July 2026. Recent updates add cross-workspace Event Streams and expanded Data Pipelines to Databricks/Redshift, plus IDP handling PDFs up to 50 pages and tables up to 100 lines. In contrast, Make's differentiator is scale and simplicity: 3,000+ pre-built connectors, a drag-and-drop scenario builder with routers, filters, and aggregators, plus sub-scenarios for modular design. Make AI Agents are action-taking and transparent, with a Library of Agents and an MCP Server. Make shines for complex data transformations and multi-app orchestration without heavy IT involvement. Workato's depth lies in enterprise governance (SSO, SOC 2, etc.) and AI agent lifecycle management, whereas Make excels at raw automation breadth and ease of use for business teams.

Pricing compared

Workato's pricing is opaque (contact sales), typical of enterprise iPaaS platforms: you pay for volume (tasks, connectors, AI agent usage) and dedicated support. This suits large organizations with budgets for governed integration. Make follows a freemium model: you start free, then scale through paid tiers based on operations (tasks) and premium features like data stores and advanced monitoring. For high-volume automation, Make's costs can escalate, but it remains far more accessible for mid-market teams. If you're a startup or department with limited budget, Make lets you test and deploy with zero upfront cost. Workato's value only materializes when you need enterprise-grade security, compliance (SOC 2, GDPR), and AI agent orchestration at scale—the price reflects that. Choose Workato if you can justify the investment for governance and AI capabilities; choose Make for cost-effective, flexible automation.

Who should pick which

  • Enterprise IT architect
    Pick: Workato

    You need secure, governed AI agent orchestration across hundreds of SaaS apps (Salesforce, SAP, Workday) with compliance (SOC 2, etc.). Workato's Agent Orchestration and MCP Gateway are built for this.

  • Marketing operations manager
    Pick: Make

    You automate lead generation, CRM updates, and multi-channel campaigns. Make's 3,000+ connectors and visual builder let you integrate HubSpot, Slack, and Canva quickly without IT.

  • Solo founder or SMB
    Pick: Make

    You need cost-effective automation with a free tier to get started. Make covers basic workflows and scales as you grow, without enterprise pricing.

  • Revenue operations leader
    Pick: Workato

    You automate order-to-cash with AI, requiring tight integration with NetSuite/Salesforce and monitoring. Workato's Genies and Data Pipelines (now with Databricks/Redshift) support complex revenue workflows.

  • IT ops in a mid-size company
    Pick: Make

    You need to automate monitoring and incident response across your SaaS tools. Make's AI agents and sub-scenarios let you build robust workflows with moderate effort and cost.

Frequently Asked Questions

Make vs Workato: which should you choose?

If you're an enterprise needing governed, security-first AI agent orchestration across critical systems like SAP or Workday, Workato is the clear choice despite opaque pricing. For most teams (marketing, ops, SMBs) wanting a powerful, visual automation platform with a generous free tier and 3,000+ connectors, Make delivers exceptional value and flexibility. Decide based on your scale and governance needs: Workato for heavy compliance and multi-agent AI, Make for fast, versatile workflow automation without enterprise overhead.

Can Workato handle AI agents that need to interact with internal APIs?

Yes, Workato's Enterprise MCP Gateway provides secure AI-to-API connectivity, and Agent Studio lets you build custom agents that can call your APIs. The MCP Apps feature offers an interactive UI in AI clients for testing.

Does Make support webhooks?

Yes, Make includes webhook triggers for custom events, enabling real-time automation from any external system.

Which platform is easier for non-technical users?

Make has a more visual, drag-and-drop builder that is generally easier for business users. Workato requires more technical understanding of integration and AI concepts.

Which platform is more secure for enterprise data?

Workato is built for enterprise-level security with features like SSO, SOC 2, and the Enterprise MCP Gateway for secure AI-to-API connectivity. Make also offers GDPR, SOC 2, and SOC 3 compliance, but Workato's governance is more extensive.

Can I use Make for free?

Yes, Make has a freemium tier that allows you to build and run basic scenarios with a limited number of operations per month.

Do both platforms support integration with Salesforce?

Yes, both Workato and Make have connectors for Salesforce. Workato also integrates with NetSuite, ServiceNow, and other enterprise CRMs, while Make covers a broader range of apps including monday.com and HubSpot CRM.

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Explore each tool further

Make
View Make reviewMake alternatives
Workato
View Workato reviewWorkato alternatives

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Last reviewed: August 24, 2026