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Machine Learning & Data Science · head to head

Dataiku vs Jupyter

Dataiku logo

Dataiku

Machine Learning & Data Science

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
Jupyter logo

Jupyter

Machine Learning & Data Science

Interactive computing across all programming languages

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; Jupyter notebook format makes version control and collaboration difficult with multiple contributors
  • They diverge on capability: Dataiku covers Visual data prep, Jupyter covers Interactive notebooks.

Where they differ

Only the attributes on which Dataiku and Jupyter actually diverge.

Attributes where Dataiku and Jupyter differ
AttributeDataikuJupyter
Pricing modelfreemiumUnknown
PlatformsLinux, Mac, Windows, WebWeb, Cross-platform, Linux, macOS, Windows
Founded20132014

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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
  • Spark
  • Snowflake
  • Databricks

Only in Jupyter

  • Interactive notebooks
  • Live code execution
  • Rich visualizations
  • Markdown documentation
  • Multi-language kernels
  • Julia
  • Scala
  • 40+ languages

Both cover

  • Python
  • R
  • Linux support
  • Mac support
  • Windows support
  • Web 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 Jupyter
  • Giving analysts and data scientists a shared visual and code environmentnot Jupyter

Jupyter

  • Machine learningnot Dataiku
  • Data analysisnot Dataiku
  • Model trainingnot Dataiku
  • Predictive analyticsnot 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

Jupyter

  • Notebook format makes version control and collaboration difficult with multiple contributors
  • Performance degrades with large datasets due to loading entire dataset into memory
  • Debugging capabilities limited compared to traditional IDEs
  • No paid support or commercial backing

Pricing, plan by plan

Dataiku

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

Jupyter

Free

No published plan breakdown. See the Jupyter review.

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 Jupyter if

  • You need interactive notebooks.
  • You want to start without paying.
  • You work on Web, Cross-platform, Linux, macOS, Windows.
  • You also want live code execution.
Jupyter review

Questions people ask

Is Dataiku or Jupyter better?
Neither clearly leads. Dataiku starts at Free and Jupyter at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Jupyter?
Dataiku starts at Free and Jupyter at Free.
Does Dataiku or Jupyter run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Jupyter runs on Web, Cross-platform, Linux, macOS, Windows.
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 Jupyter is typically brought in for.
What can Dataiku do that Jupyter cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Both handle Python, R, Linux support, Mac support.

Answered from the vendors’ own pages

Jupyter: Is Jupyter free to use?

Yes, Jupyter is completely free and open-source under the BSD license. There are no paid plans or commercial support requirements.

Source
Jupyter: What programming languages does Jupyter support?

Jupyter supports Python plus over 40 additional programming languages including R, Julia, Scala, and many others through different kernels.

Source
Jupyter: What is JupyterLab?

JupyterLab is the successor to classic Jupyter Notebook, adding a file browser, multiple tabs, terminal access, and an extension ecosystem for enhanced functionality.

Source
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