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AWS SageMaker vs Palantir Foundry

AWS SageMaker logo

AWS SageMaker

Software

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Palantir Foundry logo

Palantir Foundry

Software

Operating system for modern enterprise

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only AWS SageMaker has a free tier, so it costs nothing to try first.
  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Palantir Foundry custom pricing model with no public information makes budgeting difficult
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Palantir Foundry covers Data integration.

Where they differ

Only the attributes on which AWS SageMaker and Palantir Foundry actually diverge.

Attributes where AWS SageMaker and Palantir Foundry differ
AttributeAWS SageMakerPalantir Foundry
Starting priceFreeOn request
Pricing modelUnknownsubscription
Free tierYesNo
Founded20062003

Identical on both: platforms (Web), 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 AWS SageMaker

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

Only in Palantir Foundry

  • Data integration
  • Ontology modeling
  • Pipeline builder
  • Operational analytics
  • Governance
  • Enterprise systems
  • Cloud platforms
  • IoT

Both cover

  • Web support

What people use each for

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

AWS SageMaker

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Palantir Foundry

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.

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

Palantir Foundry

  • Custom pricing model with no public information makes budgeting difficult
  • Steep implementation and configuration requirements
  • Requires significant technical expertise to operate effectively
  • Long sales cycle typical for enterprise software

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Palantir Foundry

On request
  • EnterpriseFree
    • Full platform
    • Custom deployment
    • Enterprise support

Which should you pick?

Choose AWS SageMaker if

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

Choose Palantir Foundry if

  • You need data integration.
  • You also want ontology modeling.
Palantir Foundry review

Questions people ask

Is AWS SageMaker or Palantir Foundry better?
Neither clearly leads. AWS SageMaker starts at Free and Palantir Foundry at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Palantir Foundry?
AWS SageMaker has a free tier; the other does not. Paid plans start at Free for AWS SageMaker and On request for Palantir Foundry.
Does AWS SageMaker or Palantir Foundry run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use AWS SageMaker for free?
Yes. AWS SageMaker has a free tier, so you can try it without paying. Palantir Foundry starts at On request.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics.
What can AWS SageMaker do that Palantir Foundry cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Palantir Foundry covers Data integration, Ontology modeling, Pipeline builder, Operational analytics. Both handle Web support.

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
Palantir Foundry: What is Palantir Foundry designed for?

Palantir Foundry is an enterprise data integration and analytics platform supporting end-to-end data pipelines, covering ingestion, processing, pipeline building, monitoring, and creating analytics dashboards with both code and no-code tools.

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
Palantir Foundry: How much does Palantir Foundry cost?

Palantir Foundry uses custom pricing. No public list pricing is available. Enterprise customers and government agencies must contact Palantir directly for formal quotes and licensing terms.

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
Palantir Foundry: Who uses Palantir Foundry?

Palantir Foundry serves enterprise and government organizations needing complex data integration, analytics, and operational intelligence across large-scale data environments.

Source
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