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Machine Learning & Data Science · head to head

Dataiku vs GitHub

Dataiku logo

Dataiku

Machine Learning & Data Science

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
GitHub logo

GitHub

Technology

Where the world builds software

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; GitHub acquired by Microsoft in 2018, reducing pure independence despite operational autonomy
  • They diverge on capability: Dataiku covers Visual data prep, GitHub covers Git repositories.

Where they differ

Only the attributes on which Dataiku and GitHub actually diverge.

Attributes where Dataiku and GitHub differ
AttributeDataikuGitHub
Pricing modelfreemiumsubscription
PlatformsLinux, Mac, Windows, WebWeb, Desktop, Mobile
CategoryMachine Learning & Data ScienceTechnology
Founded20132008

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 GitHub

  • Git repositories
  • Pull requests
  • Code review
  • Issues & projects
  • GitHub Actions CI/CD
  • GitHub Pages
  • Security scanning
  • Dependency management

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 GitHub
  • Giving analysts and data scientists a shared visual and code environmentnot GitHub

GitHub

  • Version controlnot Dataiku
  • Code collaborationnot Dataiku
  • CI/CD pipelinesnot Dataiku
  • Project managementnot Dataiku
  • Documentation hostingnot 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

GitHub

  • Acquired by Microsoft in 2018, reducing pure independence despite operational autonomy
  • Primary focus on source control differs from purpose-built project management tools like Jira
  • Pricing for enterprise features and private repositories adds up compared to some self-hosted alternatives

Pricing, plan by plan

Dataiku

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

GitHub

Free
  • FreeFree
    • Unlimited public/private repos
    • 2,000 CI/CD minutes/month
    • 500MB package storage
  • Team$4/month
    • Everything in Free
    • 3,000 CI/CD minutes/month
    • 2GB package storage
  • Enterprise$21/month
    • Everything in Team
    • 50,000 CI/CD minutes/month
    • 50GB package storage

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 GitHub if

  • You need git repositories.
  • You want to start without paying.
  • You work on Web, Desktop, Mobile.
  • You also want pull requests.
GitHub review

Questions people ask

Is Dataiku or GitHub better?
Neither clearly leads. Dataiku starts at Free and GitHub at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or GitHub?
Dataiku starts at Free and GitHub at Free.
Does Dataiku or GitHub run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. GitHub runs on Web, Desktop, Mobile.
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 GitHub is typically brought in for.
What can Dataiku do that GitHub cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. GitHub covers Git repositories, Pull requests, Code review, Issues & projects.

Answered from the vendors’ own pages

GitHub: What is a Git repository and how does GitHub use it?

A repository is the centralized database that stores the complete collection of files and folders for a codebase, along with the revision history. GitHub uses Git to provide distributed version control access to repositories with version tracking, branching, and collaboration features.

Source
GitHub: How does GitHub authentication work?

When you connect to a GitHub repository from Git, you need to authenticate with GitHub using either HTTPS or SSH. GitHub supports multiple authentication methods including passwords, personal access tokens, SSH keys, and GitHub Apps.

Source
GitHub: How long has GitHub been operating?

GitHub was founded in 2008 and launched publicly on April 10, 2008, making it the dominant git hosting platform for nearly two decades.

Source
GitHub: Who owns GitHub and when did the acquisition occur?

Microsoft acquired GitHub for $7.5 billion USD, with the deal announced June 4, 2018 and completed October 26, 2018. GitHub operates as an independent subsidiary within Microsoft.

Source
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Related pages

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