Make vs Workato

Workato and Make serve different automation segments. Workato is an enterprise iPaaS with Agent Studio for building custom AI agents, MCP Gateway for secure agent connectivity, Data Hub/MDM for master data management, Intelligent Document Processing, RPA, and API management. It supports MCP for AI agents with Claude, OpenAI, and Copilot. Make is a no-code visual builder with 500+ connectors, routers, filters, aggregators, iterators, error handling, and sub-scenarios. Workato excels at KPI-driven autonomous orchestration across departments, while Make focuses on linking SaaS apps for marketing, ops, and ETL-like tasks. Workato includes B2B/EDI integration and embedded iPaaS, features absent in Make. Make offers real-time logs and team workspaces; Workato provides governance and enterprise controls. The choice depends on whether you need AI agent orchestration and master data (Workato) or a flexible, affordable workflow tool (Make).

Workato uses a contact-sales model with no publicly listed prices, typical for enterprise-tier iPaaS platforms. This means a significant upfront investment and likely a long-term contract, making it unsuitable for small teams or those needing quick, self-serve deployment. Make offers a freemium plan (basic features, limited operations) and paid plans starting at around $9/month, scaling with operations count. Make's pricing is transparent and accessible for SMBs, but costs can escalate with high-volume automation. Workato's hidden pricing implies higher costs but includes advanced features like MCP, RPA, IDP, and API management that would require additional tools elsewhere. For budget-conscious users, Make is more approachable; for enterprises with complex needs, Workato’s all-in-one platform may justify its price tag.