Amazon DataZone logo

Amazon DataZone

Amazon DataZone is a data management service that helps you catalog, discover, govern, share, and analyze your data across your organization and beyond. It enables data producers and consumers to collaborate, with built-in governance, data catalog capabilities, and a business data catalog to organize and share data across your AWS environment. DataZone provides domain-based governance, project workspaces, subscription-based access control, and integration with AWS analytics services.

1 APIs 7 Features
Data CatalogData GovernanceData ManagementData SharingAnalytics

APIs

Amazon DataZone API

The Amazon DataZone API provides programmatic access to create and manage data domains, data assets, data catalogs, projects, subscriptions, and governance policies for enterpri...

Features

Business Data Catalog

Central catalog where data producers publish assets and data consumers can discover, understand, and request access to data products.

Domain-Based Governance

Organize data assets, users, and governance policies within domains that reflect your organizational structure and data ownership.

Subscription Workflow

Built-in request/approval workflow for data consumers to request access to data assets with business justification and audit trail.

Project Workspaces

Isolated project containers within domains where teams organize their data assets, environments, and members.

Analytics Environment Provisioning

Automatically provision data access environments with Athena, Glue, Redshift, or other tools when subscriptions are approved.

Glue Data Catalog Integration

Automatically discover and import tables from AWS Glue Data Catalog into DataZone for cataloging and governance.

Data Lineage

Track data lineage across assets to understand data origins, transformations, and dependencies for trust and compliance.

Use Cases

Enterprise Data Marketplace

Build an internal data marketplace where business units publish their data products for discovery and consumption by other teams.

Data Access Governance

Implement governed data access with approval workflows ensuring data consumers have proper authorization and business justification.

Cross-Account Data Sharing

Share data assets across AWS accounts within an organization using DataZone's subscription and access management capabilities.

Self-Service Analytics

Enable analysts to discover and access data independently through the DataZone catalog with automatic environment provisioning.

Regulatory Data Compliance

Maintain audit trails of data access, govern sensitive data assets, and enforce data residency policies through domain governance.

Semantic Vocabularies

Amazon Datazone Context

0 classes · 26 properties

JSON-LD

API Governance Rules

Amazon DataZone API Rules

20 rules · 13 errors 5 warnings 2 info

SPECTRAL

Resources

🔗
PostmanWorkspace
PostmanWorkspace
🔗
ArazzoWorkflows
ArazzoWorkflows
🌐
Portal
Portal
🌐
DeveloperPortal
DeveloperPortal
🔗
Documentation
Documentation
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
💬
Support
Support
📰
Blog
Blog
👥
GitHubOrganization
GitHubOrganization
🌐
Console
Console
📝
SignUp
SignUp
🔗
Login
Login
🟢
StatusPage
StatusPage
🔗
Contact
Contact
🔗
SpectralRules
SpectralRules
🔗
Vocabulary
Vocabulary

Sources

Raw ↑
aid: amazon-datazone
name: Amazon DataZone
description: >-
  Amazon DataZone is a data management service that helps you catalog, discover, govern, share, and analyze your data
  across your organization and beyond. It enables data producers and consumers to collaborate, with built-in governance,
  data catalog capabilities, and a business data catalog to organize and share data across your AWS environment.
  DataZone provides domain-based governance, project workspaces, subscription-based access control, and integration with
  AWS analytics services.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - AWS
  - Data Catalog
  - Data Governance
  - Data Management
  - Data Sharing
  - Analytics
url: https://raw.githubusercontent.com/api-evangelist/amazon-datazone/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
  - aid: amazon-datazone:amazon-datazone-api
    name: Amazon DataZone API
    description: >-
      The Amazon DataZone API provides programmatic access to create and manage data domains, data assets, data
      catalogs, projects, subscriptions, and governance policies for enterprise-wide data management and sharing.
      Supports domain-based governance, asset cataloging, subscription workflows, and environment provisioning for data
      analytics access.
    humanURL: https://aws.amazon.com/datazone/
    baseURL: https://datazone.amazonaws.com
    tags:
      - Data Catalog
      - Data Governance
      - Data Sharing
      - Analytics
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/datazone/latest/APIReference/Welcome.html
      - type: OpenAPI
        url: openapi/amazon-datazone-openapi.yml
      - type: OpenAPI
        url: https://api.apis.guru/v2/specs/amazonaws.com/datazone/2018-05-10/openapi.yaml
      - type: GettingStarted
        url: https://aws.amazon.com/datazone/getting-started/
      - type: Pricing
        url: https://aws.amazon.com/datazone/pricing/
      - type: FAQ
        url: https://aws.amazon.com/datazone/faqs/
      - type: APIReference
        url: https://docs.aws.amazon.com/datazone/latest/APIReference/
      - type: JSONSchema
        url: json-schema/domain-schema.json
      - type: JSONSchema
        url: json-schema/project-schema.json
      - type: JSONSchema
        url: json-schema/asset-schema.json
      - type: JSONLD
        url: json-ld/amazon-datazone-context.jsonld
common:
  - type: PostmanWorkspace
    url: https://www.postman.com/kinlaneapi/amazon-datazone/overview
  - type: ArazzoWorkflows
    url: arazzo/
    workflows:
      - url: arazzo/amazon-datazone-audit-domain-subscriptions-workflow.yml
        name: Amazon DataZone Audit Domain Subscriptions
        summary: List pending subscription requests and active subscriptions to audit data access.
      - url: arazzo/amazon-datazone-bootstrap-domain-and-project-workflow.yml
        name: Amazon DataZone Bootstrap Domain and Project
        summary: Create a domain, wait for it to be AVAILABLE, then create a project inside it.
      - url: arazzo/amazon-datazone-catalog-asset-workflow.yml
        name: Amazon DataZone Catalog a Data Asset
        summary: Create a data asset in a project and read it back to confirm cataloging.
      - url: arazzo/amazon-datazone-discover-and-subscribe-workflow.yml
        name: Amazon DataZone Discover and Subscribe
        summary: Search catalog listings, then raise a subscription request for the first match.
      - url: arazzo/amazon-datazone-onboard-data-workspace-workflow.yml
        name: Amazon DataZone Onboard Data Workspace
        summary: Create a project, catalog an asset, and provision an environment in one workspace flow.
      - url: arazzo/amazon-datazone-provision-domain-workflow.yml
        name: Amazon DataZone Provision Domain
        summary: Create a DataZone domain and poll until it becomes AVAILABLE.
      - url: arazzo/amazon-datazone-provision-environment-workflow.yml
        name: Amazon DataZone Provision Environment
        summary: Create a project environment and poll the environment list until it is ACTIVE.
      - url: arazzo/amazon-datazone-publish-data-product-workflow.yml
        name: Amazon DataZone Publish Data Product
        summary: Create a project, catalog an asset in it, then search the catalog for the listing.
      - url: arazzo/amazon-datazone-rename-project-workflow.yml
        name: Amazon DataZone Rename Project
        summary: Read a project, update its description, then read it back to confirm the change.
      - url: arazzo/amazon-datazone-request-and-track-subscription-workflow.yml
        name: Amazon DataZone Request and Track Subscription
        summary: Create a subscription request, then poll the request list until it leaves PENDING.
      - url: arazzo/amazon-datazone-teardown-domain-workflow.yml
        name: Amazon DataZone Teardown Domain
        summary: List projects in a domain and branch to delete the domain only when it is empty.
      - url: arazzo/amazon-datazone-teardown-project-workflow.yml
        name: Amazon DataZone Teardown Project
        summary: Confirm a project exists, delete it, then verify the delete via a 404 read-back.
  - type: Portal
    url: https://aws.amazon.com/datazone/
  - type: DeveloperPortal
    url: https://aws.amazon.com/datazone/
  - type: Documentation
    url: https://docs.aws.amazon.com/datazone/
  - 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/
  - type: GitHubOrganization
    url: https://github.com/aws
  - type: Console
    url: https://console.aws.amazon.com/datazone/
  - 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-datazone-spectral-rules.yml
  - type: Vocabulary
    url: vocabulary/amazon-datazone-vocabulary.yaml
  - type: Features
    data:
      - name: Business Data Catalog
        description: >-
          Central catalog where data producers publish assets and data consumers can discover, understand, and request
          access to data products.
      - name: Domain-Based Governance
        description: >-
          Organize data assets, users, and governance policies within domains that reflect your organizational structure
          and data ownership.
      - name: Subscription Workflow
        description: >-
          Built-in request/approval workflow for data consumers to request access to data assets with business
          justification and audit trail.
      - name: Project Workspaces
        description: Isolated project containers within domains where teams organize their data assets, environments, and members.
      - name: Analytics Environment Provisioning
        description: >-
          Automatically provision data access environments with Athena, Glue, Redshift, or other tools when
          subscriptions are approved.
      - name: Glue Data Catalog Integration
        description: >-
          Automatically discover and import tables from AWS Glue Data Catalog into DataZone for cataloging and
          governance.
      - name: Data Lineage
        description: >-
          Track data lineage across assets to understand data origins, transformations, and dependencies for trust and
          compliance.
  - type: UseCases
    data:
      - name: Enterprise Data Marketplace
        description: >-
          Build an internal data marketplace where business units publish their data products for discovery and
          consumption by other teams.
      - name: Data Access Governance
        description: >-
          Implement governed data access with approval workflows ensuring data consumers have proper authorization and
          business justification.
      - name: Cross-Account Data Sharing
        description: >-
          Share data assets across AWS accounts within an organization using DataZone's subscription and access
          management capabilities.
      - name: Self-Service Analytics
        description: >-
          Enable analysts to discover and access data independently through the DataZone catalog with automatic
          environment provisioning.
      - name: Regulatory Data Compliance
        description: >-
          Maintain audit trails of data access, govern sensitive data assets, and enforce data residency policies
          through domain governance.
  - type: Integrations
    data:
      - name: AWS Glue
        description: >-
          DataZone integrates with Glue Data Catalog to automatically discover, import, and catalog Glue tables for
          sharing and governance.
      - name: Amazon Redshift
        description: >-
          Catalog Redshift tables and views and govern cross-cluster data sharing through DataZone subscription
          workflows.
      - name: Amazon Athena
        description: DataZone environments provision Athena as a query engine for subscribers accessing S3-based data assets.
      - name: Amazon S3
        description: >-
          Catalog S3-based datasets in DataZone and control access through subscription-based Lake Formation
          permissions.
      - name: AWS Lake Formation
        description: >-
          DataZone uses Lake Formation for fine-grained column and row-level access control when subscriptions are
          approved.
      - name: AWS IAM
        description: >-
          IAM roles provide domain execution context and identity-based access control for DataZone resources and
          catalog operations.
  - 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]