Make vs Dynamiq
A side-by-side comparison to help you choose the right tool.
85
Make scores higher overall (85/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Make | Dynamiq |
|---|---|---|
| Our score | 85 | 72 |
| Pricing | Free plan available. Paid plans scale by operations, credits, and advanced features. | Free tier available. Enterprise and on-premise plans priced via sales demo. |
| Free plan | Yes | Yes |
| Best for | Ops teams building more complex visual automations, Users who want a more flexible builder than basic trigger-action tools, Companies mixing no-code workflows with light code steps | Enterprise teams with data residency or compliance requirements (HIPAA, SOC 2, GDPR), Engineering teams that want a full-stack alternative to assembling LangChain, a vector DB, and deployment infra separately, Organizations that need on-premise or air-gapped AI deployment |
| Platforms | web, api | web, api, on-premise, aws, azure, gcp |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
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| Cons |
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| Get started | Get started |
Make
85
- Pricing
- Free plan available. Paid plans scale by operations, credits, and advanced features.
- Free plan
- Yes
- Best for
- Ops teams building more complex visual automations, Users who want a more flexible builder than basic trigger-action tools, Companies mixing no-code workflows with light code steps
- Platforms
- web, api
- API
- Yes
- Languages
- en
Dynamiq
72
- Pricing
- Free tier available. Enterprise and on-premise plans priced via sales demo.
- Free plan
- Yes
- Best for
- Enterprise teams with data residency or compliance requirements (HIPAA, SOC 2, GDPR), Engineering teams that want a full-stack alternative to assembling LangChain, a vector DB, and deployment infra separately, Organizations that need on-premise or air-gapped AI deployment
- Platforms
- web, api, on-premise, aws, azure, gcp
- API
- Yes
- Languages
- en
85Choose Make if:
- You are Ops teams building more complex visual automations
- You are Users who want a more flexible builder than basic trigger-action tools
- You are Companies mixing no-code workflows with light code steps
- You want to start free
72Choose Dynamiq if:
- You are Enterprise teams with data residency or compliance requirements (HIPAA, SOC 2, GDPR)
- You are Engineering teams that want a full-stack alternative to assembling LangChain, a vector DB, and deployment infra separately
- You are Organizations that need on-premise or air-gapped AI deployment
- You want to start free
FAQ
- What is the difference between Make and Dynamiq?
- Make is make is a visual automation platform that gives users more control and transparency than many simple trigger-action tools. it is ideal for users who like seeing logic, branches, and data flow instead of hiding everything behind a wizard. Dynamiq is end-to-end platform for building, deploying, and monitoring ai agents and genai workflows with a visual canvas, rag pipelines, llm fine-tuning, and on-premise deployment for enterprise teams.
- Which is cheaper, Make or Dynamiq?
- Make: Free plan available. Paid plans scale by operations, credits, and advanced features.. Dynamiq: Free tier available. Enterprise and on-premise plans priced via sales demo.. Make has a free plan. Dynamiq has a free plan.
- Who is Make best for?
- Make is best for Ops teams building more complex visual automations, Users who want a more flexible builder than basic trigger-action tools, Companies mixing no-code workflows with light code steps.
- Who is Dynamiq best for?
- Dynamiq is best for Enterprise teams with data residency or compliance requirements (HIPAA, SOC 2, GDPR), Engineering teams that want a full-stack alternative to assembling LangChain, a vector DB, and deployment infra separately, Organizations that need on-premise or air-gapped AI deployment.