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📖 The AI Tool Bible

Iguazio vs LangGraph

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 Iguazio logo
Iguazio
Agents
LangGraph logo
LangGraph
Agents
TaglineEnterprise MLOps and GenAI platform for taking models from notebook to production at scale.Stateful, graph-based agent orchestration from LangChain.
CategoryAgentsAgents
PricingEnterprise· Contact sales; free trial availableFreemium· Developer: $0 / seat · Plus: $39 / seat · Enterprise: Custom pricing
ModelMulti-modelBYO (Claude / GPT / open)
Editorial score7.1 / 108.8 / 10
Use cases
mlopsllm-fine-tuningrag-pipelinesmodel-monitoringfeature-storegenai-deployment
stateful agentshuman-in-loopproduction
Pros
  • Backed by MLRun and Nuclio open-source projects with real adoption
  • Covers full lifecycle: pipelines, feature store, monitoring, governance
  • Deploys on-prem, hybrid, or multi-cloud for regulated workloads
  • Built-in PII handling, bias mitigation, and compliance tooling
  • Acquired by McKinsey, so deep consulting and integration support
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
Cons
  • No public pricing; enterprise sales cycle required
  • Overkill for small teams or single-model projects
  • Platform breadth means a real learning curve
  • Steeper learning curve than CrewAI
  • Verbose to set up
Websiteiguazio.comwww.langchain.com
Pick Iguazio if
  • Backed by MLRun and Nuclio open-source projects with real adoption
  • Covers full lifecycle: pipelines, feature store, monitoring, governance
  • Deploys on-prem, hybrid, or multi-cloud for regulated workloads
  • Built-in PII handling, bias mitigation, and compliance tooling
Pick LangGraph if
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration