Machine Learning · head to head
AWS SageMaker vs Tigris

AWS SageMaker
Machine Learning
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -

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.
| Attribute | AWS SageMaker | Tigris |
|---|---|---|
| Pricing model | Unknown | Usage-based tiered storage with per-request fees |
| Platforms | Web | Web, API, CLI |
| Category | Machine Learning | File Storage |
| Founded | 2006 | Unknown |
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
FreeNo 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.
SourceTigris: 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.
SourceAWS 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.
SourceTigris: 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.
SourceAWS 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.
SourceTigris: Do I get charged for data egress?
No, Tigris provides free data egress across all storage tiers.
SourceRelated pages
More on AWS SageMaker
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- Tigris vs IDrive e2
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- Tigris vs TrueNAS
- Tigris vs pCloud
- Tigris vs Veeam Backup & Replication
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