Softwr

Machine Learning · head to head

Dataiku vs LangGraph

Dataiku logo

Dataiku

Machine Learning

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
LangGraph logo

LangGraph

AI

Agent runtime and orchestration framework

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; LangGraph steeper learning curve compared to high-level abstractions
  • They diverge on capability: Dataiku covers Visual data prep, LangGraph covers Human-in-the-loop controls.

Where they differ

Only the attributes on which Dataiku and LangGraph actually diverge.

Attributes where Dataiku and LangGraph differ
AttributeDataikuLangGraph
Pricing modelfreemiumOpen source and free, with optional managed platform
PlatformsLinux, Mac, Windows, WebPython, JavaScript, Web
CategoryMachine LearningAI
Founded2013Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Dataiku

  • Visual data prep
  • AutoML
  • MLOps
  • Collaboration
  • Governence
  • Python
  • R
  • Spark

Only in LangGraph

  • Human-in-the-loop controls
  • Customizable workflows
  • Memory management
  • Token-by-token streaming
  • Low-level control
  • Multi-agent support

What people use each for

The jobs each tool is most often brought in to do.

Dataiku

  • Building and deploying data science and machine learning pipelinesnot LangGraph
  • Giving analysts and data scientists a shared visual and code environmentnot LangGraph

LangGraph

  • Building production AI agents with auditable workflowsnot Dataiku
  • Designing multi-agent systems for complex tasksnot Dataiku
  • Implementing human oversight in autonomous systemsnot Dataiku
  • Creating reliable agentic applications at scalenot Dataiku

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Dataiku

  • No pricing is published at any tier, and the plans page carries no figures at all
  • User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
  • Access begins with a demo request or a trial rather than a self serve signup

LangGraph

  • Steeper learning curve compared to high-level abstractions
  • Requires understanding of graph-based architecture
  • Debugging complex workflows can be challenging
  • Not optimized for simple, one-off use cases

Pricing, plan by plan

Dataiku

Free
  • Free EditionFree
    • Single user
    • Core features
  • EnterpriseFree
    • Full platform
    • Collaboration
    • MLOps

LangGraph

Free
  • Open SourceFree
    • MIT-licensed framework
    • Self-hosted deployment
    • Full API access
  • LangGraph Platform$35/month
    • Managed hosting
    • Enterprise deployment
    • Integrated tooling

Which should you pick?

Choose Dataiku if

  • You need visual data prep.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want automl.
Dataiku review

Choose LangGraph if

  • You need human-in-the-loop controls.
  • You want to start without paying.
  • You work on Python, JavaScript, Web.
  • You also want customizable workflows.
LangGraph review

Questions people ask

Is Dataiku or LangGraph better?
Neither clearly leads. Dataiku starts at Free and LangGraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or LangGraph?
Dataiku starts at Free and LangGraph at Free.
Does Dataiku or LangGraph run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. LangGraph runs on Python, JavaScript, Web.
Can I use Dataiku for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dataiku best used for?
Dataiku is most often used for building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what LangGraph is typically brought in for.
What can Dataiku do that LangGraph cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming.

Answered from the vendors’ own pages

Dataiku: What are Dataiku pricing tiers and costs?

Dataiku pricing information is not available on their public website. Customers must contact Dataiku sales directly to request pricing, trial access, and licensing information.

Source
LangGraph: Is LangGraph free to use?

Yes. The core LangGraph framework is MIT-licensed and completely free. You only pay if you use the optional managed LangGraph Platform for hosting.

Source
Dataiku: Does Dataiku offer a free tier or trial?

Free tier or trial availability for Dataiku cannot be determined from publicly accessible pages. Contact Dataiku directly to inquire about evaluation options.

Source
LangGraph: What programming languages does LangGraph support?

LangGraph provides first-class support for Python and JavaScript, enabling cross-platform agent development.

Source
LangGraph: Can I deploy LangGraph in production?

Yes. LangGraph can be self-hosted on your own infrastructure or deployed through LangGraph Platform with enterprise support and SLA guarantees.

Source
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