Head-to-head · facts checked 13 Sept 2026
Dify vs Workato
Dify uniquely has 12 features · Workato uniquely has 6 features.
From
Not publicly stated
Free plan
Yes
The verdict
Dify or Workato?
Section 01
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Dify
Sandbox
Free
200 message credits, 1 workspace, 1 team member
Community
Free
All core features, single workspace, open source
Professional
$59/mo · $590/yr
6000 message credits, 1 workspace, 2 team members
Team
$159/mo · $1590/yr
10000 message credits, 3 workspaces, 50 team members
Enterprise
Custom
Advanced security, compliance, dedicated support
Workato
Free
Free
50K one-time credits
Pro - 2.5k credits
$75/month
2.5k credits/month
Pro - 3.5k credits
$100/month
3.5k credits/month
Pro - 10k credits
$275/month
10k credits/month
Pro - 30k credits
$780/month
30k credits/month
Pro - 50k credits
$1250/month
50k credits/month
Enterprise
Custom
Custom pricing available
Section 02
Pros and cons
From each tool's full review, written from the same checked facts.
Dify
Pros
- Supports over 100 AI models including OpenAI, Anthropic Claude, Mistral, and local Llama models through a consistent visual interface.
- RAG pipeline support is built natively into the workflow builder, eliminating the need to bolt on document retrieval separately.
- Flexible deployment options including cloud, VPC, and fully self-hosted via Docker or Kubernetes with official support for all three.
- Visual Workflow Studio uses drag-and-drop nodes covering agents, RAG steps, and decision branches for rapid development.
- Strong open-source traction with 151K+ GitHub stars indicating active community and ongoing development momentum.
- Ideal for development teams who want to ship production-ready AI applications without rebuilding infrastructure from scratch.
- Data residency and enterprise security requirements are accommodated through self-hosting options, a rarity at this price point.
Cons
- The platform is genuinely difficult to categorize, suggesting an unclear or overly broad product identity that may confuse buyers.
- User base claims of 500K+ cannot be independently verified, raising questions about the reliability of vendor-provided metrics.
- The review was not based on hands-on workflow building, meaning real-world usability limitations may not be fully captured.
- Moving faster than competitors in a fast-moving space increases the risk of instability, incomplete features, or shifting roadmaps.
- As a platform founded in 2023, long-term enterprise reliability and support track record remain unproven.
- Complexity of supporting 100+ models and multiple deployment methods may lead to inconsistent or under-documented edge cases.
Workato
Pros
- Combines iPaaS, AI agent orchestration, API management, ETL pipelines, and composable MCP servers into a single governed platform, reducing tool sprawl.
- The recipe builder is low-code and visual, with conditional logic and error handling baked directly into the orchestration engine rather than added as an afterthought.
- Execution logs are retained for 30 to 90 days depending on plan, providing meaningful audit trails for enterprise compliance needs.
- The dual Control Plane and Execution Plane architecture addresses both AI governance and operational execution in one system.
- Positioning is sharper than most competitors, clearly targeting enterprise environments rather than trying to scale up a SMB tool.
- Claims 25,000 customers across 90 countries, suggesting proven scale and broad real-world deployment.
- Replaces three or four separate tools with one governed platform, which resonates with enterprise IT teams dealing with integration sprawl.
Cons
- Pricing is entirely opaque — the pricing page provides no actionable information, making cost evaluation difficult without engaging sales.
- The platform is not aimed at small or mid-market buyers, meaning those comparing it to Zapier are likely to find it over-engineered and overpriced.
- Flies under the radar outside enterprise IT circles, indicating limited community resources and third-party documentation.
- The breadth of features — workflows, AI agents, API management, ETL, MCP servers — creates significant complexity that may overwhelm teams without dedicated integration staff.
- No hands-on testing data is available in this review, meaning feature claims are based on vendor docs and community sources rather than direct validation.
- The platform's ambitious scope means whether it actually delivers on replacing multiple tools remains complicated and unproven for every use case.
Side by side
| Company | ||
| Founded | 2023 | 2013 |
| HQ | San Francisco, USA | Palo Alto, California |
| AI model | Multi-model (OpenAI, Anthropic, Mistral, Llama, and 100+ others) | Proprietary (AI by Workato) + multi-model routing via AI Gateway |
| User base | 151K+ GitHub stars | 12,000+ global customers |
| Platforms | Cloud, Docker, Kubernetes, VPC | Web |
| Languages | 25+ | 25+ |
| Pricing | ||
| Pricing model | Freemium | Custom |
| Free plan | Yes | Yes |
| Free trial | No | No |
| Starting price | $59/mo | — |
| Enterprise | Custom | Custom pricing |
| Refund policy | — | Workato does not publish a general self-service refund policy, although limited refund provisions appear in its Terms of Service. |
| All plans | Sandbox — Free Community — Free Professional — $59/mo Team — $159/mo Enterprise — Custom | Free — Free Pro - 2.5k credits — $75/month Pro - 3.5k credits — $100/month Pro - 10k credits — $275/month Pro - 30k credits — $780/month Pro - 50k credits — $1250/month Enterprise — Custom |
| Positioning | ||
| Best for | Independent developers, small to medium teams, and enterprises building production AI apps | Teams scaling and operationalizing AI-powered workflows across the enterprise |
| Differentiator | Three deployment modes: managed cloud, self-hosted enterprise with SSO/RBAC/ISO27001, and open-source community edition | Enterprise-grade AI agents and workflow orchestration with 10,000+ app integrations and low-code interface |
| Competitors | Flowise, LangChain, n8n, Botpress, Relevance AI | MuleSoft, Boomi, Microsoft Power Automate, Zapier, Tray.io |
| Features | ||
| 10,000+ App & System Integrations | — | ✓ |
| API Rate Limit Control | ✓ | — |
| API Management | — | ✓ |
| Document Processing | ✓ | — |
| Enterprise Mcp & AI Agents | — | ✓ |
| Full Agent Runtime + Workflow Editor | ✓ | — |
| Helm Chart for K8s Deployments | ✓ | — |
| Knowledge Base | ✓ | — |
| Low Code Apps | — | ✓ |
| Publish As Web App or API | ✓ | — |
| Real Time Data & Event Orchestration | — | ✓ |
| SOC 2 Type Ii + Iso 27001 | ✓ | — |
| SSO (Enterprise) | ✓ | — |
| SSO / Saml & Rbac | ✓ | — |
| Single Command Docker Deploy | ✓ | — |
| Trigger Events | ✓ | — |
| Workflow Automation | ✓ | — |
| Workflow Orchestration | — | ✓ |
| AI Agents | ✓ | ✓ |
| API Webhooks | ✓ | ✓ |
| Conditional Logic | ✓ | ✓ |
| Custom Code | ✓ | ✓ |
| Data Transform | ✓ | ✓ |
| Error Handling | ✓ | ✓ |
| Execution Logs | ✓ | ✓ |
| Human in Loop | ✓ | ✓ |
| Num Integrations | 100+ AI models plus plugin marketplace integrations | 14,000+ applications (1,200+ pre-built connectors included out-of-the-box) |
| Scheduled Runs | ✓ | ✓ |
| Team Features | ✓ | ✓ |
| Trigger Types | webhook / schedule / API / workflow trigger events / external app triggers | webhook / schedule / event triggers / API calls / real-time business event triggers |
| Visual Builder | ✓ | ✓ |
| Integrations | ||
| API Access | ✓ | ✓ |
| Google Workspace | ✓ | ✓ |
| Key Integrations | OpenAI, Anthropic Claude, Mistral, Llama (Meta), Azure OpenAI | Salesforce, SAP, Slack, ServiceNow, Workday |
| Openai Integration | ✓ | ✓ |
| Slack | ✓ | ✓ |
| Webhook Support | ✓ | ✓ |
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