Amazon Data Exchange

aid: amazon-data-exchange
name: Amazon Data Exchange
description: >-
  AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Qualified data providers
  can publish data products consisting of data sets with versioned revisions and assets including S3 snapshots, Redshift
  data shares, API Gateway APIs, and Lake Formation permissions. Subscribers can find and subscribe to data products
  directly in the AWS Management Console and use the Data Exchange API to load data into Amazon S3 for analysis with AWS
  analytics and machine learning services.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - AWS
  - Data Exchange
  - Data Marketplace
  - Third-Party Data
  - Analytics
  - Subscriptions
url: https://raw.githubusercontent.com/api-evangelist/amazon-data-exchange/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
  - aid: amazon-data-exchange:aws-data-exchange-api
    name: AWS Data Exchange API
    description: >-
      The AWS Data Exchange API enables programmatic access to find, subscribe to, and use third-party data products. It
      supports managing data sets, revisions, assets, jobs, and event actions for cloud-based data exchange workflows
      including S3 snapshot data, Redshift data shares, API Gateway APIs, and Lake Formation permissions.
    humanURL: https://aws.amazon.com/data-exchange/
    baseURL: https://dataexchange.amazonaws.com
    tags:
      - Data Marketplace
      - Data Products
      - Subscriptions
      - Analytics
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/data-exchange/latest/apireference/
      - type: OpenAPI
        url: openapi/amazon-data-exchange-openapi.yml
      - type: OpenAPI
        url: https://api.apis.guru/v2/specs/amazonaws.com/dataexchange/2017-07-25/openapi.yaml
      - type: GettingStarted
        url: https://aws.amazon.com/data-exchange/getting-started/
      - type: Pricing
        url: https://aws.amazon.com/data-exchange/pricing/
      - type: FAQ
        url: https://aws.amazon.com/data-exchange/faqs/
      - type: APIReference
        url: https://docs.aws.amazon.com/data-exchange/latest/apireference/
      - type: JSONSchema
        url: json-schema/data-set-schema.json
      - type: JSONSchema
        url: json-schema/revision-schema.json
      - type: JSONSchema
        url: json-schema/asset-schema.json
      - type: JSONSchema
        url: json-schema/job-schema.json
      - type: JSONSchema
        url: json-schema/event-action-schema.json
      - type: JSONLD
        url: json-ld/amazon-data-exchange-context.jsonld
common:
  - type: PostmanWorkspace
    url: https://www.postman.com/kinlaneapi/amazon-data-exchange/overview
  - type: ArazzoWorkflows
    url: arazzo/
    workflows:
      - url: arazzo/amazon-data-exchange-auto-export-on-publish-workflow.yml
        name: Amazon Data Exchange Auto Export On Publish
        summary: Register a RevisionPublished event action, then create and finalize a revision to trigger it.
      - url: arazzo/amazon-data-exchange-browse-data-set-revisions-workflow.yml
        name: Amazon Data Exchange Browse Data Set Revisions
        summary: List owned data sets, inspect the first one, and list its revisions.
      - url: arazzo/amazon-data-exchange-cancel-running-job-workflow.yml
        name: Amazon Data Exchange Cancel Running Job
        summary: Find an in-flight job for a data set and cancel it if it is still running.
      - url: arazzo/amazon-data-exchange-delete-draft-revision-workflow.yml
        name: Amazon Data Exchange Delete Draft Revision
        summary: Find a revision, confirm it is not finalized, and delete it as a draft.
      - url: arazzo/amazon-data-exchange-export-entitled-data-workflow.yml
        name: Amazon Data Exchange Export Entitled Data
        summary: Discover an entitled data set, pick its latest revision, and export it to S3.
      - url: arazzo/amazon-data-exchange-export-revision-to-s3-workflow.yml
        name: Amazon Data Exchange Export Revision To S3
        summary: Export all assets of a revision to an S3 bucket by creating, starting, and polling a job.
      - url: arazzo/amazon-data-exchange-import-asset-from-signed-url-workflow.yml
        name: Amazon Data Exchange Import Asset From Signed URL
        summary: Open a revision, import a single asset from a signed URL, wait, and list the result.
      - url: arazzo/amazon-data-exchange-inspect-revision-assets-workflow.yml
        name: Amazon Data Exchange Inspect Revision Assets
        summary: List the assets in a revision and fetch the details of the first asset.
      - url: arazzo/amazon-data-exchange-publish-data-set-workflow.yml
        name: Amazon Data Exchange Publish Data Set
        summary: Create a data set, add a revision, import assets from S3, and finalize it for publishing.
      - url: arazzo/amazon-data-exchange-rename-revision-asset-workflow.yml
        name: Amazon Data Exchange Rename Revision Asset
        summary: Locate an asset in a revision and rename it to a new asset name.
      - url: arazzo/amazon-data-exchange-tag-new-data-set-workflow.yml
        name: Amazon Data Exchange Tag New Data Set
        summary: Create a data set, apply governance tags to it, and read the tags back.
      - url: arazzo/amazon-data-exchange-untag-resource-workflow.yml
        name: Amazon Data Exchange Untag Resource
        summary: Read a resource's tags and remove a chosen set of tag keys from it.
      - url: arazzo/amazon-data-exchange-update-data-set-metadata-workflow.yml
        name: Amazon Data Exchange Update Data Set Metadata
        summary: Read a data set, update its name and description, and verify the change.
      - url: arazzo/amazon-data-exchange-update-event-action-destination-workflow.yml
        name: Amazon Data Exchange Update Event Action Destination
        summary: Find an existing event action, repoint its export destination, and verify the change.
  - type: Portal
    url: https://aws.amazon.com/data-exchange/
  - type: DeveloperPortal
    url: https://aws.amazon.com/data-exchange/
  - type: Documentation
    url: https://docs.aws.amazon.com/data-exchange/
  - type: TermsOfService
    url: https://aws.amazon.com/service-terms/
  - type: PrivacyPolicy
    url: https://aws.amazon.com/privacy/
  - type: Support
    url: https://aws.amazon.com/premiumsupport/
  - type: Blog
    url: https://aws.amazon.com/blogs/big-data/category/analytics/aws-data-exchange/
  - type: GitHubOrganization
    url: https://github.com/aws
  - type: Console
    url: https://console.aws.amazon.com/dataexchange/
  - type: SignUp
    url: https://portal.aws.amazon.com/billing/signup
  - type: Login
    url: https://signin.aws.amazon.com/
  - type: StatusPage
    url: https://health.aws.amazon.com/health/status
  - type: Contact
    url: https://aws.amazon.com/contact-us/
  - type: SpectralRules
    url: rules/amazon-data-exchange-spectral-rules.yml
  - type: Vocabulary
    url: vocabulary/amazon-data-exchange-vocabulary.yaml
  - type: Features
    data:
      - name: Data Set Management
        description: >-
          Create, update, and manage data sets containing versioned collections of data available for subscription and
          distribution in the marketplace.
      - name: Revision Publishing
        description: >-
          Organize data into versioned revisions with comments, then finalize and publish them to make data available to
          subscribers automatically.
      - name: Multi-Format Asset Support
        description: >-
          Support for S3 snapshots, Redshift data shares, API Gateway APIs, Lake Formation permissions, and S3 data
          access as asset types.
      - name: Import and Export Jobs
        description: >-
          Asynchronous import/export jobs for transferring data between external sources (S3, Redshift) and Data
          Exchange revisions at scale.
      - name: Event-Driven Delivery
        description: >-
          Configurable event actions that automatically export revision data to S3 when a new revision is published,
          eliminating manual downloads.
      - name: AWS Marketplace Integration
        description: >-
          Seamlessly list and sell data products in AWS Marketplace with built-in billing, subscription management, and
          entitlement enforcement.
      - name: Fine-Grained Access Control
        description: >-
          Control access to data products using AWS IAM policies and resource- level permissions with ARN-based resource
          identification.
  - type: UseCases
    data:
      - name: Third-Party Data Acquisition
        description: >-
          Subscribe to curated third-party datasets from financial data providers, healthcare data aggregators, weather
          services, and market research firms.
      - name: Data Product Monetization
        description: >-
          Publish and sell proprietary datasets to other AWS customers via the marketplace with automated billing and
          subscription management.
      - name: Automated Data Pipelines
        description: >-
          Configure event actions to automatically deliver new data revisions to S3, enabling downstream analytics
          pipelines to process fresh data.
      - name: ML Training Data
        description: >-
          Access high-quality labeled datasets and specialized data products from Data Exchange to train and improve
          machine learning models.
      - name: Regulatory Compliance Data
        description: >-
          Subscribe to compliance reference data including sanctions lists, legal entity identifiers, and regulatory
          taxonomies via Data Exchange.
  - type: Integrations
    data:
      - name: Amazon S3
        description: >-
          Primary storage integration for Data Exchange assets — used as both source for imports and destination for
          exports via job operations.
      - name: Amazon Redshift
        description: >-
          Share Redshift tables and views directly through Data Exchange without copying data, enabling live query
          access for subscribers.
      - name: AWS Lake Formation
        description: >-
          Distribute Lake Formation data permissions through Data Exchange, giving subscribers governed access to data
          lake resources.
      - name: Amazon API Gateway
        description: >-
          Expose API-based data products through Data Exchange, allowing subscribers to call APIs for real-time data
          access.
      - name: AWS Glue
        description: Catalog and transform Data Exchange S3 datasets using AWS Glue for ETL and data lake integration workflows.
      - name: Amazon Athena
        description: >-
          Query Data Exchange S3 snapshot data directly with SQL using Athena for serverless analytics on subscribed
          datasets.
      - name: Amazon SageMaker
        description: Use third-party datasets from Data Exchange as training data for machine learning models in Amazon SageMaker.
  - type: Integrations
    url: https://aws.amazon.com/marketplace
integrations:
  - name: Sign in
  - name: Agent Mode
  - name: Why AWS Marketplace?
  - name: Get started in AWS Marketplace
  - name: Industry
  - name: Resources
  - name: Become a Channel Partner
  - name: Sell in AWS Marketplace
  - name: Manage Your Account
maintainers:
  - FN: Kin Lane
    email: [email protected]