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Machine Learning · head to head

Hugging Face vs Tigris

Hugging Face logo

Hugging Face

Machine Learning

The AI community building the future

From
Free
Rated
-
Full reviewWebsite
Tigris logo

Tigris

File Storage

Globally distributed S3-compatible object storage with zero egress fees

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; Tigris lowest tier still more expensive than some cold storage alternatives
  • They diverge on capability: Hugging Face covers Model hub, Tigris covers Global Distribution.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Hugging Face and Tigris differ
AttributeHugging FaceTigris
Pricing modelUnknownUsage-based tiered storage with per-request fees
PlatformsWeb, APIWeb, API, CLI
CategoryMachine LearningFile Storage
Founded2016Unknown

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 Hugging Face

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

Only in Tigris

  • Global Distribution
  • Zero Egress Fees
  • S3 Compatibility
  • Multiple Storage Classes
  • Object Notifications
  • API Access

What people use each for

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

Hugging Face

  • ai tools managementnot Tigris
  • Workflow automationnot Tigris
  • Reportingnot Tigris

Tigris

  • Storing and versioning AI training datasets without egress penaltiesnot Hugging Face
  • Distributing model checkpoints and artifacts globallynot Hugging Face
  • Serving static assets with low latency across regionsnot Hugging Face
  • Multi-cloud data portability with standardized APInot 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

Tigris

  • Lowest tier still more expensive than some cold storage alternatives
  • Retrieval charges on infrequent access tier add cost variability
  • Limited to object storage, no file system semantics
  • Archive retrieval requires planning ahead

Pricing, plan by plan

Hugging Face

Free

No published plan breakdown. See the Hugging Face review.

Tigris

Free
  • Standard Storage$0.02/GB/month
    • Frequently accessed data
    • No retrieval charges
    • Free data egress
  • Infrequent Access$0.01/GB/month
    • Lower storage cost
    • Retrieval: $0.01 per GB
    • 30-day minimum retention
  • Archive$0.004/GB/month
    • Lowest storage cost
    • Free retrieval
    • 90-day minimum retention
  • Archive Instant Retrieval$0.004/GB/month
    • Archive storage cost
    • Instant retrieval: $0.03 per GB
    • 90-day minimum retention

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 Tigris if

  • You need global distribution.
  • You want to start without paying.
  • You work on Web, API, CLI.
  • You also want zero egress fees.
Tigris review

Questions people ask

Is Hugging Face or Tigris better?
Neither clearly leads. Hugging Face starts at Free and Tigris at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hugging Face or Tigris?
Hugging Face starts at Free and Tigris at Free.
Does Hugging Face or Tigris run on more platforms?
Hugging Face runs on Web, API. Tigris runs on Web, API, CLI.
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 Tigris is typically brought in for.
What can Hugging Face do that Tigris cannot?
Hugging Face covers Model hub, Datasets, Spaces, Transformers library. Tigris covers Global Distribution, Zero Egress Fees, S3 Compatibility, Multiple Storage Classes.

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
Tigris: Is there a free tier?

Yes, new users receive 5 GB of Standard storage monthly plus 10,000 Class A and 100,000 Class B requests at no cost.

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
Tigris: What are the request costs?

Class A requests cost $0.005 per 1,000 requests, Class B requests cost $0.0005 per 1,000 requests. DELETE and CANCEL operations are free.

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
Tigris: Do I get charged for data egress?

No, Tigris provides free data egress across all storage tiers.

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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