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Dify vs Workato Comparison

Compare Dify vs Workato features, pricing, and more.

Last updated: November 2026

Dify logo

Dify

7.3/10

Winner

Open-source platform for building LLM apps, agents, RAG knowledge pipelines and visual AI workflows, available as cloud SaaS or self-hosted.

Workato logo

Workato

6.8/10

Workato is an enterprise platform for integration, automation and AI agents. It connects business apps and data and runs governed AI agents called Genies.

Feature-by-Feature Comparison

Feature
Dify logo
Dify
Workato logo
Workato
Scores
Overall Rating7.3/106.8/10
Analytics6/107/10
Cost8/102/10
Customization9/108/10
Ease of Use7/106/10
Integration7/109/10
Output Quality7/107/10
Scalability6/108/10
Security8/109/10
Support6/107/10
Pricing
Free planYesNo
Cheapest paid plan$59/mo
Professional
Contact for pricing
Estimated cost for 10 users$159/mo
Team
Contact for pricing
Features
AI Agents
Chatbots
API Access
Enterprise Controls
Knowledge Base Search
Private Deployment
Text GenerationNot listed
Workflow Automation

Which One Should You Choose?

Dify logo
Why choose Dify

  • Has a free plan (Workato does not)
  • Higher Cost score (8/10 vs 2/10)
  • Higher Customization score (9/10 vs 8/10)
  • Better fit for startups (9/10 vs 3/10)
  • Better fit for small business (6/10 vs 3/10)

Workato logo
Why choose Workato

  • Higher Integration score (9/10 vs 7/10)
  • Higher Scalability score (8/10 vs 6/10)

Pros & Cons

Dify logo
Dify

Pros

  • The Community Edition is free to self-host with no license fees, so the only costs are infrastructure and model APIs.
  • The visual workflow builder lets a team build a RAG support workflow with human handoff in under an hour, according to one review.
  • Document ingestion, chunking, embedding and retrieval are handled in a single interface.
  • Teams can switch between many model providers per node, including local models via Ollama.
  • Apps can be published as web apps, embeds, APIs or MCP tools.

Cons

  • Self-hosting needs Docker or Kubernetes skills, and reviewers report scaling problems under heavy workloads.
  • Reviewers say Dify has fewer connectors than rivals such as LangFlow.
  • Multi-agent orchestration and built-in observability are basic.
  • Workflows have no built-in version control, and the canvas can lag on large flows.
  • Removing Dify branding from self-hosted apps requires a commercial license.

Workato logo
Workato

Pros

  • The library of more than 1,200 pre-built connectors lets AI agents act across many enterprise systems.
  • Governance controls built into the platform: RBAC, hourly key rotation, audit logs and guardrails that limit agents to approved skills.
  • On-prem gateways and Virtual Private Workato support hybrid and private environments.
  • Every edition includes unlimited workspaces and users, so costs do not rise with each new builder.
  • MCP servers let external assistants such as Claude and ChatGPT act on enterprise apps with controls in place.

Cons

  • No public list prices, and third-party data puts the median contract at about 64,500 USD a year.
  • Usage metering is hard to predict, and reruns count toward consumption.
  • The Standard and Business MCP editions are limited to one concurrent job.
  • Agent Studio and the knowledge base require the top Workato ONE edition.

Not sold on either?

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