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Amazon SageMaker is Amazon Web Services' managed platform for building, training and deploying machine learning and AI. Its Unified Studio, Catalog, notebooks, Data Agent and integrated AWS services share a pay-as-you-go pricing model.
You create a domain and projects in Unified Studio, work in notebooks or agents, and use the Catalog to find data. Each AWS service used is billed separately by consumption. Data Agent charges $0.04 per credit with a minimum of 0.01 credits per request, and Catalog charges $10 per 100,000 requests after free allowances.
Data scientists, ML engineers and data platform teams building on AWS use it. Teams already using Bedrock, Redshift, Athena, EMR or Glue can use the integrated experience under one billing account.
SageMaker is pay as you go with no upfront commitments or minimum fees. Unified Studio has an always-free tier for setup requests and 250 hours of sc.t3.medium notebooks for the first 2 months. Catalog costs $10 per 100,000 requests and $0.40 per GB of metadata storage.
Alternatives include MLflow for open-source experiment tracking, Weights & Biases for experiment management, Comet ML for model monitoring, Neptune.ai for metadata tracking, and ClearML for MLOps orchestration.
Pricing Model
USAGE BASED
Starting Price
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Free Options
Free version
| Feature | Pay as you go | Free tier |
|---|---|---|
| No upfront commitments or minimum fees | , | |
| Billed per AWS service used | , | |
| Data Agent $0.04 per credit | , | |
| Catalog $10 per 100,000 requests, $0.40 per GB metadata | , | |
| Unified Studio core setup and management requests | , | |
| 250 hours of sc.t3.medium notebooks for the first 2 months | , | |
| Catalog: 20 MB metadata, 4,000 requests, 0.2 compute units monthly | , |
Other
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Experiment tracking, model monitoring and Opik LLM observability
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