Workato ONE vs Make.com
Detailed side-by-side comparison to help you choose the right tool
Workato ONE
Integrations
Workato ONE is an enterprise automation and orchestration platform for agentic AI, integrations, APIs, data workflows, and business process automation. It includes capabilities such as MCP Gateway, AI workflows, Agent Studio, enterprise search, and embedded iPaaS.
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CustomMake.com
π’No CodeAutomation & Workflows
Make.com: Visual automation platform with AI integration and workflow orchestration
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FreeFeature Comparison
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π‘ Our Take
Choose Workato ONE for enterprise automation programs involving IT, HR, finance, sales, support, agentic AI, and governed system access. Choose Make if your team wants a more visual automation builder for lower-complexity workflows and does not need Enterprise MCP, embedded iPaaS, MDM, EDI, or enterprise-grade orchestration.
Workato ONE - Pros & Cons
Pros
- βCombines integration, automation, API management, data orchestration, MCP, and agentic AI capabilities in one enterprise platform instead of treating AI agents as a separate add-on.
- βThe website specifically lists Enterprise MCP, MCP Gateway, Agent Studio, Agent Orchestration, Enterprise Search, and Otto by Workato, making it more AI-agent focused than many traditional iPaaS products.
- βStrong departmental breadth: Workato lists solutions for IT, Finance, Support, HR, Marketing, Sales, Revenue Operations, and Product teams, which supports cross-functional automation programs.
- βSupports both internal enterprise automation and embedded iPaaS for SaaS companies that want to offer integrations inside their own products.
- βWorkato states it is recognized in the 2026 Gartner Magic Quadrant for Integration Platform as a Service and describes itself as β8x a Leaderβ and β3x Furthest in Vision.β
- βFounded in December 2013, Workato has a longer operating history than many newer AI-agent orchestration vendors.
Cons
- βNo public monthly or annual pricing is visible in the provided website content, so buyers must contact sales to understand budget fit.
- βThe platform breadth can be more than smaller teams need if they only want simple app-to-app automations or a few personal productivity workflows.
- βEnterprise MCP, API management, embedded iPaaS, MDM, EDI, RPA, and agent orchestration imply a more involved implementation than lightweight no-code automation tools.
- βThe provided website content does not disclose exact connector counts, usage limits, seat pricing, or plan differences, making direct vendor comparison harder during early evaluation.
- βOrganizations that do not need agentic AI governance or enterprise integration controls may find the platform heavier than simpler tools such as Zapier or Make.
Make.com - Pros & Cons
Pros
- βVisual scenario builder supports routers, filters, scheduled runs, subscenarios, real-time execution monitoring, and reusable scenario templates.
- βLarge connector ecosystem with 3,000+ standard apps, 350+ AI apps, and 300+ Make API endpoints for custom automation work.
- βFree plan includes 1,000 credits/month, 2 active scenarios, 3,000+ apps, routers and filters, and customer support with no time limit.
- βPaid plans support unlimited active scenarios, 1-minute scheduling, higher data transfer limits, and access to the Make API starting at $12/month for 10,000 credits.
- βEnterprise options include SSO, domain claim, on-prem agents for local systems such as SAP, advanced security features, 24/7 Enterprise support, and overage protection.
- βMake is used by 400,000+ customers across 200+ countries and territories, backed by a team of 350+ employees and parent company Celonis.
Cons
- βCredit-based billing can become hard to forecast because each module action in a scenario consumes credits.
- βThe Free plan is limited to 1,000 credits/month, 2 active scenarios, 15-minute minimum scheduling, 5-minute maximum execution time, and 5 MB file processing.
- βNative AI features are useful for orchestration, but Make is not a full model development, vector database, or dedicated RAG platform.
- βAdvanced governance and security features such as SSO, domain claim, audit logs, 24/7 support, and on-prem agents are Enterprise-oriented.
- βComplex scenarios still require careful technical design, especially when handling retries, data transformation, API limits, and high-volume AI calls.
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