LangGraph vs Dynamiq
A side-by-side comparison to help you choose the right tool.
87
LangGraph scores higher overall (87/100)
But the best choice depends on your specific needs. Compare below.
| Feature | LangGraph | Dynamiq |
|---|---|---|
| Our score | 87 | 72 |
| Pricing | Open-source project with no core license fee. | Free tier available. Enterprise and on-premise plans priced via sales demo. |
| Free plan | Yes | Yes |
| Best for | Teams building serious agent workflows, Developers who need state and branching control, Builders who outgrew simple chains | 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 | mac, windows, linux, api | web, api, on-premise, aws, azure, gcp |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
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| Cons |
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| Visit site | Get started |
- Pricing
- Open-source project with no core license fee.
- Free plan
- Yes
- Best for
- Teams building serious agent workflows, Developers who need state and branching control, Builders who outgrew simple chains
- Platforms
- mac, windows, linux, 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
87Choose LangGraph if:
- You are Teams building serious agent workflows
- You are Developers who need state and branching control
- You are Builders who outgrew simple chains
- 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 LangGraph and Dynamiq?
- LangGraph is a graph-based framework for building stateful, multi-step agent workflows with more explicit control than plain prompt chaining. 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, LangGraph or Dynamiq?
- LangGraph: Open-source project with no core license fee.. Dynamiq: Free tier available. Enterprise and on-premise plans priced via sales demo.. LangGraph has a free plan. Dynamiq has a free plan.
- Who is LangGraph best for?
- LangGraph is best for Teams building serious agent workflows, Developers who need state and branching control, Builders who outgrew simple chains.
- 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.