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Machine Learning & Data Science · head to head

Dataiku vs Greenhouse

Dataiku logo

Dataiku

Machine Learning & Data Science

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite
Greenhouse logo

Greenhouse

Technology

Hiring software for growing companies

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Dataiku has a free tier, so it costs nothing to try first.
  • Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; Greenhouse core plan lacks talent discovery and contact lookups
  • They diverge on capability: Dataiku covers Visual data prep, Greenhouse covers Applicant tracking.

Where they differ

Only the attributes on which Dataiku and Greenhouse actually diverge.

Attributes where Dataiku and Greenhouse differ
AttributeDataikuGreenhouse
Starting priceFreeOn request
Pricing modelfreemiumquote
Free tierYesNo
PlatformsLinux, Mac, Windows, WebWeb, Ios, Android, Api
CategoryMachine Learning & Data ScienceTechnology
Founded20132012

Identical on both: 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 Greenhouse

  • Applicant tracking
  • Interview scheduling
  • Scorecard system
  • Job board posting
  • Candidate CRM
  • Reporting & analytics
  • Offer management
  • EEO compliance

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

Greenhouse

  • Applicant tracking system for structured hiringnot Dataiku
  • AI-powered interview notetaking and sourcingnot 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

Greenhouse

  • Core plan lacks talent discovery and contact lookups
  • Core plan lacks email automation and applicant texting
  • Plus plan lacks resume anonymisation and application limits
  • Plus plan lacks audit logging and developer tools
  • Pricing customised by hiring volume and company size, not published
  • Only Pro tier offers audit logs and developer sandbox

Pricing, plan by plan

Dataiku

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

Greenhouse

On request

No published plan breakdown. See the Greenhouse 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 Greenhouse if

  • You need applicant tracking.
  • You work on Web, Ios, Android, Api.
  • You also want interview scheduling.
Greenhouse review

Questions people ask

Is Dataiku or Greenhouse better?
Neither clearly leads. Dataiku starts at Free and Greenhouse at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Greenhouse?
Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and On request for Greenhouse.
Does Dataiku or Greenhouse run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Greenhouse runs on Web, Ios, Android, Api.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. Greenhouse starts at On request.
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 Greenhouse is typically brought in for.
What can Dataiku do that Greenhouse cannot?
Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting.
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Related pages

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