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 APIs7 Features
Data CatalogData GovernanceData ManagementData SharingAnalytics
The Amazon DataZone API provides programmatic access to create and manage data domains, data assets, data catalogs, projects, subscriptions, and governance policies for enterpri...
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]