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📖 The AI Tool Bible

Dataiku vs LangGraph

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

 Dataiku logo
Dataiku
Agents
LangGraph logo
LangGraph
Agents
TaglineEnterprise AI platform unifying data, ML, LLMs, and agents under one governed workflow.Stateful, graph-based agent orchestration from LangChain.
CategoryAgentsAgents
PricingEnterprise· Basic: $10 · Pro: $20 · Enterprise: Contact salesFreemium· Developer: $0 / seat · Plus: $39 / seat · Enterprise: Custom pricing
ModelMulti-model (LLM Mesh: OpenAI, Anthropic, Bedrock, Vertex, OSS)BYO (Claude / GPT / open)
Editorial score8.3 / 108.8 / 10
Use cases
enterprise-aiagent-orchestrationmlopsllm-governancedata-scienceanalytics
stateful agentshuman-in-loopproduction
Pros
  • Unifies analytics, ML, LLMs, and agents in one governed platform
  • Strong low-code surface so non-engineers can ship
  • Mature MLOps, lineage, audit, and cost controls
  • Multi-cloud and on-prem deploys; broad data connector library
  • LLM Mesh abstracts vendors with PII and policy guardrails
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
Cons
  • Enterprise-only pricing; no public price list
  • Heavy platform that's overkill for small teams
  • Learning curve across the visual + code surface
  • Agent tooling is newer than its ML/analytics core
  • Steeper learning curve than CrewAI
  • Verbose to set up
Websitedataiku.comwww.langchain.com
Pick Dataiku if
  • ✅ Unifies analytics, ML, LLMs, and agents in one governed platform
  • ✅ Strong low-code surface so non-engineers can ship
  • ✅ Mature MLOps, lineage, audit, and cost controls
  • ✅ Multi-cloud and on-prem deploys; broad data connector library
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
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