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Machine Learning & Data Science · head to head

Jupyter vs Amazon Redshift ML

Jupyter logo

Jupyter

Machine Learning & Data Science

Interactive computing across all programming languages

From
Free
Rated
-
Full reviewWebsite
Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

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; Amazon Redshift ML free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million
  • They diverge on capability: Jupyter covers Interactive notebooks, Amazon Redshift ML covers SQL-based ML.

Where they differ

Only the attributes on which Jupyter and Amazon Redshift ML actually diverge.

Attributes where Jupyter and Amazon Redshift ML differ
AttributeJupyterAmazon Redshift ML
Pricing modelUnknownusage-based
PlatformsWeb, Cross-platform, Linux, macOS, WindowsWeb
Founded20142006

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 Jupyter

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

Only in Amazon Redshift ML

  • SQL-based ML
  • AutoML
  • SageMaker integration
  • BYOM support
  • In-database predictions
  • Amazon Redshift
  • SageMaker
  • S3

Both cover

  • Web support

What people use each for

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

Jupyter

  • Machine learningnot Amazon Redshift ML
  • Data analysisnot Amazon Redshift ML
  • Model trainingnot Amazon Redshift ML
  • Predictive analyticsnot Amazon Redshift ML

Amazon Redshift ML

  • Training and running machine learning models directly from SQL inside Amazon Redshiftnot 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

Amazon Redshift ML

  • Free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million

Pricing, plan by plan

Jupyter

Free

No published plan breakdown. See the Jupyter review.

Amazon Redshift ML

Free
  • Free TrialFree
    • 2-month trial
    • 750 DC2.Large hours
  • On-Demand$0.25/hour
    • Per-node pricing
    • SageMaker training

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 Amazon Redshift ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl.
Amazon Redshift ML review

Questions people ask

Is Jupyter or Amazon Redshift ML better?
Neither clearly leads. Jupyter starts at Free and Amazon Redshift ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jupyter or Amazon Redshift ML?
Jupyter starts at Free and Amazon Redshift ML at Free.
Does Jupyter or Amazon Redshift ML run on more platforms?
Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. Amazon Redshift ML runs on Web.
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 Amazon Redshift ML is typically brought in for.
What can Jupyter do that Amazon Redshift ML cannot?
Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Both handle Web 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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