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Software · head to head

Jupyter vs Redash

Jupyter logo

Jupyter

Software

Interactive computing across all programming languages

From
Free
Rated
-
Full reviewWebsite
Redash logo

Redash

Software

Connect and visualize your data

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; Redash a basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
  • They diverge on capability: Jupyter covers Interactive notebooks, Redash covers SQL Query Editor.

Where they differ

Only the attributes on which Jupyter and Redash actually diverge.

Attributes where Jupyter and Redash differ
AttributeJupyterRedash
Pricing modelUnknownfreemium
PlatformsWeb, Cross-platform, Linux, macOS, WindowsWeb, Self-hosted, Cloud
Founded20142013

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 Redash

  • SQL Query Editor
  • Multiple Data Sources
  • Visualizations
  • Dashboards
  • Alerts
  • PostgreSQL
  • MySQL
  • BigQuery

Both cover

  • Web support

What people use each for

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

Jupyter

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

Redash

  • Self-hosted SQL query editor and dashboarding over existing databasesnot Jupyter
  • Sharing scheduled query results with a team without buying a BI licencenot 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

Redash

  • A basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
  • The official Docker images were not updated for V10, so the documented route is to deploy a V8 instance and then upgrade it
  • Anyone not using a provided cloud image has to configure the environment variables and secrets by hand

Pricing, plan by plan

Jupyter

Free

No published plan breakdown. See the Jupyter review.

Redash

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support
  • Cloud$49/month
    • Managed Hosting
    • Automatic Updates
    • Support

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 Redash if

  • You need sql query editor.
  • You want to start without paying.
  • You work on Web, Self-hosted, Cloud.
  • You also want multiple data sources.
Redash review

Questions people ask

Is Jupyter or Redash better?
Neither clearly leads. Jupyter starts at Free and Redash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jupyter or Redash?
Jupyter starts at Free and Redash at Free.
Does Jupyter or Redash run on more platforms?
Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. Redash runs on Web, Self-hosted, Cloud.
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 Redash is typically brought in for.
What can Jupyter do that Redash cannot?
Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards. 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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Related pages

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