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: kin@apievangelist.com