Software · head to head
Dataiku vs Hugging Face
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; Hugging Face model discovery across 3 million models lacks robust filtering and sorting by quality metrics
- They diverge on capability: Dataiku covers Visual data prep, Hugging Face covers Model hub.
Where they differ
Only the attributes on which Dataiku and Hugging Face actually diverge.
| Attribute | Dataiku | Hugging Face |
|---|---|---|
| Pricing model | freemium | Unknown |
| Platforms | Linux, Mac, Windows, Web | Web, API |
| Founded | 2013 | 2016 |
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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Only in Hugging Face
- Model hub
- Datasets
- Spaces
- Transformers library
- GitHub
- Cloud providers
- MLOps tools
- Api support
Both cover
- Web support
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 Hugging Face
- Giving analysts and data scientists a shared visual and code environmentnot Hugging Face
Hugging Face
- ai tools managementnot Dataiku
- Workflow automationnot Dataiku
- Reportingnot 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
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
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Hugging Face
FreeNo published plan breakdown. See the Hugging Face 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.
Choose Hugging Face if
- You need model hub.
- You want to start without paying.
- You work on Web, API.
- You also want datasets.
Questions people ask
- Is Dataiku or Hugging Face better?
- Neither clearly leads. Dataiku starts at Free and Hugging Face at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Hugging Face?
- Dataiku starts at Free and Hugging Face at Free.
- Does Dataiku or Hugging Face run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Hugging Face runs on Web, API.
- 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 Hugging Face is typically brought in for.
- What can Dataiku do that Hugging Face cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Hugging Face covers Model hub, Datasets, Spaces, Transformers library. 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.
SourceHugging 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.
SourceHugging 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.
SourceHugging 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.
SourceHugging 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