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Jupyter vs Apache Spark MLlib

Jupyter logo

Jupyter

Software

Interactive computing across all programming languages

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Software

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Jupyter notebook format makes version control and collaboration difficult with multiple contributors; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: Jupyter covers Interactive notebooks, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which Jupyter and Apache Spark MLlib actually diverge.

Attributes where Jupyter and Apache Spark MLlib differ
AttributeJupyterApache Spark MLlib
Pricing modelUnknownopen-source
PlatformsWeb, Cross-platform, Linux, macOS, WindowsLinux, macOS, Windows
Founded20141999

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

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 Jupyter

  • Interactive notebooks
  • Live code execution
  • Rich visualizations
  • Markdown documentation
  • Multi-language kernels
  • Python
  • R
  • Julia

Only in Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

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

Jupyter

  • Machine learningnot Apache Spark MLlib
  • Data analysisnot Apache Spark MLlib
  • Model trainingnot Apache Spark MLlib
  • Predictive analyticsnot Apache Spark MLlib

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot Jupyter
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot Jupyter
  • Clustering with K-means and Gaussian Mixture Modelsnot Jupyter

Where each one falls short

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

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

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

Pricing, plan by plan

Jupyter

Free

No published plan breakdown. See the Jupyter review.

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

Which should you pick?

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

Choose Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is Jupyter or Apache Spark MLlib better?
Neither clearly leads. Jupyter starts at Free and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jupyter or Apache Spark MLlib?
Jupyter starts at Free and Apache Spark MLlib at Free.
Does Jupyter or Apache Spark MLlib run on more platforms?
Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Jupyter for free?
Both have a free tier, so you can try either at no cost before committing.
What is Jupyter best used for?
Jupyter is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Apache Spark MLlib is typically brought in for.
What can Jupyter do that Apache Spark MLlib cannot?
Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering. Both handle Linux support, Mac support, Windows 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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