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Machine Learning · head to head

AWS SageMaker vs Tigris

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Tigris logo

Tigris

File Storage

Globally distributed S3-compatible object storage with zero egress fees

From
Free
Rated
-

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Tigris lowest tier still more expensive than some cold storage alternatives
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Tigris covers Global Distribution.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which AWS SageMaker and Tigris actually diverge.

Attributes where AWS SageMaker and Tigris differ
AttributeAWS SageMakerTigris
Pricing modelUnknownUsage-based tiered storage with per-request fees
PlatformsWebWeb, API, CLI
CategoryMachine LearningFile Storage
Founded2006Unknown

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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

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.

AWS SageMaker

  • Machine learningnot Tigris
  • Data analysisnot Tigris
  • Model trainingnot Tigris
  • Predictive analyticsnot Tigris

Tigris

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

Where each one falls short

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

AWS SageMaker

  • Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
  • Does not include native job scheduling, requiring Lambda or EventBridge integration

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

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker 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 AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.

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.

Questions people ask

Is AWS SageMaker or Tigris better?
Neither clearly leads. AWS SageMaker 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, AWS SageMaker or Tigris?
AWS SageMaker starts at Free and Tigris at Free.
Does AWS SageMaker or Tigris run on more platforms?
AWS SageMaker runs on Web. Tigris runs on Web, API, CLI.
Can I use AWS SageMaker for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Tigris is typically brought in for.
What can AWS SageMaker do that Tigris cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Tigris covers Global Distribution, Zero Egress Fees, S3 Compatibility, Multiple Storage Classes.

Answered from the vendors’ own pages

AWS SageMaker: What is AWS SageMaker used for?

AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.

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
AWS SageMaker: How is AWS SageMaker priced?

SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.

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
AWS SageMaker: Does AWS SageMaker have a free tier?

Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.

Source
Tigris: Do I get charged for data egress?

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

Source
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