Tines vs Workato (2026)

Tines

by Tines

Workato

by Workato

Pros

• ✓Three workflow modes in one environment: human-led for judgment calls, deterministic for compliance and triage, and agentic for autonomous action, so teams can automate mission-critical work without committing entirely to autonomous AI.
• ✓Publishes an MCP server on every edition including the free one, exposing any API or workflow to Claude Desktop, Cursor, Cline and other MCP clients, with four access control modes.
• ✓ISO/IEC 42001:2023 certified for AI management alongside SOC 2 Type 2 and ISO/IEC 27001:2022, all verified in an ungated Trust Center, which few workflow platforms can show.

Limitations

• ⚠No published rates above the free edition: Business and Enterprise are both quote-only, so budgeting or comparing against Zapier or Make requires entering a sales conversation first.
• ⚠The free edition is capped at three live workflows and MCP server builds count against that limit, so a single MCP build consumes a third of the free allowance.
• ⚠The platform is most mature for SecOps and ITOps, and teams in marketing, sales, or product will find fewer pre-built templates than on Zapier or Make.

Pros

• ✓Enterprise MCP turns proven business workflows into governed MCP servers with memory, rollback, and transactional integrity, giving AI agents predictable and auditable access to business actions.
• ✓Gartner Magic Quadrant Leader for iPaaS with 14,000+ enterprise connectors spanning CRM, ERP, HRIS, ITSM, marketing, finance, and security categories.
• ✓One of the most comprehensive security certification portfolios in the automation category, including SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, and CCPA, addressing the strictest enterprise compliance requirements.

Limitations

• ⚠No published pricing across any edition means teams cannot estimate costs without engaging a sales process, and the enterprise positioning suggests price points well above self-serve automation platforms.
• ⚠The platform's enterprise complexity means implementation typically requires technical resources and onboarding support, creating a higher barrier to entry than no-code alternatives like Zapier or Make.com.
• ⚠AI data training policy is not explicitly disclosed in the current privacy policy or trust center despite the extensive security documentation, creating a gap for teams with strict data governance requirements.