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Machine Learning & Data Science · head to head

Hugging Face vs Dataiku

Hugging Face logo

Hugging Face

Machine Learning & Data Science

The AI community building the future

From
Free
Rated
-
Full reviewWebsite
Dataiku logo

Dataiku

Machine Learning & Data Science

Everyday AI, Extraordinary People

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Hugging Face model discovery across 3 million models lacks robust filtering and sorting by quality metrics; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
  • They diverge on capability: Hugging Face covers Model hub, Dataiku covers Visual data prep.

Where they differ

Only the attributes on which Hugging Face and Dataiku actually diverge.

Attributes where Hugging Face and Dataiku differ
AttributeHugging FaceDataiku
Pricing modelUnknownfreemium
PlatformsWeb, APILinux, Mac, Windows, Web
Founded20162013

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 Hugging Face

  • Model hub
  • Datasets
  • Spaces
  • Transformers library
  • GitHub
  • Cloud providers
  • MLOps tools
  • Api support

Only in Dataiku

  • Visual data prep
  • AutoML
  • MLOps
  • Collaboration
  • Governence
  • Python
  • R
  • Spark

Both cover

  • Web support

What people use each for

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

Hugging Face

  • ai tools managementnot Dataiku
  • Workflow automationnot Dataiku
  • Reportingnot Dataiku

Dataiku

  • Building and deploying data science and machine learning pipelinesnot Hugging Face
  • Giving analysts and data scientists a shared visual and code environmentnot Hugging Face

Where each one falls short

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

Hugging Face

  • Model discovery across 3 million models lacks robust filtering and sorting by quality metrics
  • Community-driven content means variable model quality and documentation
  • Private models and datasets require Pro subscription
  • Enterprise support and SLAs require custom arrangements

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

Pricing, plan by plan

Hugging Face

Free

No published plan breakdown. See the Hugging Face review.

Dataiku

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

Which should you pick?

Choose Hugging Face if

  • You need model hub.
  • You want to start without paying.
  • You work on Web, API.
  • You also want datasets.
Hugging Face review

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

Questions people ask

Is Hugging Face or Dataiku better?
Neither clearly leads. Hugging Face starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hugging Face or Dataiku?
Hugging Face starts at Free and Dataiku at Free.
Does Hugging Face or Dataiku run on more platforms?
Hugging Face runs on Web, API. Dataiku runs on Linux, Mac, Windows, Web.
Can I use Hugging Face for free?
Both have a free tier, so you can try either at no cost before committing.
What is Hugging Face best used for?
Hugging Face is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Dataiku is typically brought in for.
What can Hugging Face do that Dataiku cannot?
Hugging Face covers Model hub, Datasets, Spaces, Transformers library. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Both handle Web support.

Answered from the vendors’ own pages

Hugging Face: Is Hugging Face free to use?

Yes. Hugging Face allows users to host and collaborate on unlimited public models, datasets, and applications at no cost. Models can be accessed and used freely from the Hub.

Source
Hugging Face: How many models are available on Hugging Face?

Hugging Face Hub currently hosts nearly 3 million machine learning models across various tasks including text generation, image processing, and video generation.

Source
Hugging Face: What is the Hugging Face Inference API?

Hugging Face provides access to 45,000+ models from leading AI providers through a single unified API with no service fees, simplifying access to diverse models.

Source
Hugging Face: What content types does Hugging Face support?

Hugging Face supports text, image, video, audio, and 3D content models, allowing collaboration across multiple modalities and use cases.

Source
Hugging Face: What is the transformers library?

Transformers is a Hugging Face library built for natural language processing applications, providing pre-built models and utilities for NLP tasks.

Source
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