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Catalogue / ml-platform

Amazon SageMaker Feature Store

awsML platformaws-sagemaker-feature-store

Managed feature groups with a low-latency online store and an append-only offline store in S3.

Provider
aws
Kind
ML platform
Category
Compute
Official docs
https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateFeatureGroup.html
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
computeInstancesinteger—no—inherited
encryptionAtRest · component propertyboolean—notrueinherited
experimentTrackingboolean—notrue▸ false
gpuEnabledboolean—no—inherited
managedboolean—nofalse▸ true
modelRegistryboolean—notrue▸ false
offlineTableFormat · component propertyenumglue | icebergnoglueinherited
onlineStoreEnabled · component propertyboolean—nofalseinherited
publicAccessboolean—no—inherited
storeMode · component propertyenumonline | offline | online-and-offlineno—inherited
throughputMode · component propertyenumon-demand | provisionednoon-demandinherited
Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror
stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

  • — all of these hold:
  • — the node's `stateless` is false
  • — the node sits inside exactly 1 availability-zone group
  • — this does not hold:
  • — the node sits inside at least one cell group
Use it in a design
nodes:
  - { id: "sagemaker-feature-store", component: "aws-sagemaker-feature-store" }
Other ML platform products · 61
Platform for AIalibaba-paialibabacloudml-platformAWS Clean Rooms MLaws-clean-rooms-mlawsml-platformAmazon SageMaker AIaws-sagemakerawsml-platformAmazon SageMaker Canvasaws-sagemaker-canvasawsml-platformManaged MLflow on Amazon SageMaker AIaws-sagemaker-mlflowawsml-platformAmazon SageMaker Unified Studioaws-sagemaker-unified-studioawsml-platformMicrosoft Foundryazure-ai-foundryazureml-platformAzure Machine Learningazure-machine-learningazureml-platformAbacus.AIabacus-aiml-platformAlteryxalteryxml-platformArgillaargillaml-platformC3 AI Platformc3-aiml-platformClearMLclearmlml-platformCometcomet-mlml-platformCVATcvatml-platformDataikudataikuml-platformDataRobotdatarobotml-platformDatasaurdatasaurml-platformDetermined AIdeterminedml-platformDomino Data Labdomino-data-labml-platformDVCdvcml-platformEncordencordml-platformFeastfeastml-platformFlyteflyteml-platformH2O.aih2oml-platformKilikiliml-platformKNIMEknimeml-platformKubeflowkubeflowml-platformLabel Studiolabel-studioml-platformLabelboxlabelboxml-platformMetaflowmetaflowml-platformGeneric ML platformml-platformml-platformMLflowmlflowml-platformneptune.aineptune-aiml-platformNVIDIA DGX Cloudnvidia-dgx-cloudml-platformPachydermpachydermml-platformPolyaxonpolyaxonml-platformProdigyprodigyml-platformRapidMiner AI Hubrapidminerml-platformRoboflowroboflowml-platform
and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Amazon SageMaker Feature Store: managed feature groups with a low-latency online store and an
# append-only offline store in S3 (Parquet). Per the CreateFeatureGroup API Reference the online store
# is off by default (EnableOnlineStore False), offline data is KMS-encrypted at rest by default, and
# the offline table format defaults to Glue. The service is distributed across multiple Availability Zones.
schemaVersion: "1"
type: "component"
id: "aws-sagemaker-feature-store"
kind: "ml-platform"
provider: "aws"
docs: "https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateFeatureGroup.html"
defaults:
  managed: true
  modelRegistry: false
  experimentTracking: false
properties:
  storeMode:
    type: "enum"
    values: ["online", "offline", "online-and-offline"]
  onlineStoreEnabled:
    type: "boolean"
    default: false
  offlineTableFormat:
    type: "enum"
    values: ["glue", "iceberg"]
    default: "glue"
  throughputMode:
    type: "enum"
    values: ["on-demand", "provisioned"]
    default: "on-demand"
  encryptionAtRest:
    type: "boolean"
    default: true

The same page as markdown, for an agent: /catalogue/components/aws-sagemaker-feature-store.md