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What's the Difference Between Amazon HealthLake and AWS HealthOmics?

Compare Amazon HealthLake and AWS HealthOmics side by side — features, pricing, and ideal use cases to help you choose the right product.

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Comparisons
Amazon HealthLake
AWS HealthOmics
Category

Machine Learning, Healthcare

Machine Learning, Genomics

Description

HIPAA-eligible service to store, transform, and analyze health data using FHIR APIs.

Store, query, and analyze genomic, transcriptomic, and other omics data at scale.

Best for
  • Health data aggregation
  • Clinical analytics
  • Population health
  • Drug safety monitoring
  • Genomic analysis
  • Variant calling
  • Multiomics research
  • Precision medicine
Key features
  • FHIR R4 support
  • NLP enrichment
  • Integrated medical NLP
  • HIPAA eligible
  • Data export
  • Sequence Store
  • Variant Store
  • Annotation Store
  • Workflow engine
  • Ready2Run workflows
Pricing model

Pay per data stored + requests + NLP processing

Pay per GB stored + run hours + queries

Free tier

No

No

Expert take

“HealthLake stores and transforms healthcare data in FHIR format. Built-in NLP extracts medical entities from clinical notes and normalizes them to standard ontologies.”
— Didier Durand, re:Post Top Contributor [profile]

“HealthOmics stores and analyzes genomic data at petabyte scale. Ready-to-run workflows process whole genomes in hours using optimized bioinformatics pipelines.”
— Gary McLean, re:Post Top Contributor [profile]

Product page

When to use Amazon HealthLake or AWS HealthOmics

Use Amazon HealthLake when:

  • Health data aggregation
  • Clinical analytics
  • Population health
  • Drug safety monitoring

Learn more about Amazon HealthLake »

Use AWS HealthOmics when:

  • Genomic analysis
  • Variant calling
  • Multiomics research
  • Precision medicine

Learn more about AWS HealthOmics »

AWS product comparisons

Read about AWS products side-by-side

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