Amazon DataZone
Amazon DataZone helps organizations catalog, discover, share, and govern data from AWS, on-premises, and third-party sources.
What Amazon DataZone is
Amazon DataZone helps organizations catalog, discover, share, and govern data from AWS, on-premises, and third-party sources. Its business catalog lets users search published data and request access, while projects support collaboration and management of data assets. Governed workflows are designed to align access with the user and purpose. Large language models can generate business names for structured data, including columns, to make catalog information easier to find. Built-in producer sources include AWS Glue Data Catalog and Amazon Redshift; analytics integrations include Amazon Athena and Redshift Query Editor. The service can manage permissions for AWS Lake Formation-managed Glue tables and Redshift tables and views. Amazon SageMaker integration supports access to data and ML assets and publishing new assets to the catalog. DataZone supports automated discovery, column-level lineage, impact analysis, and pipeline lineage. Data is encrypted at rest by default with an AWS-owned KMS key, and customer-managed keys are supported for catalog data. Traffic uses TLS and client-side encryption, service communication is over HTTPS, and CloudTrail records actions.
Good
- Catalogs data from AWS and other sources.
- Supports access requests and governed sharing workflows.
- Integrates with Glue, Redshift, Athena, and SageMaker.
- Includes lineage and impact analysis capabilities.
- Encrypts data at rest by default.
Watch out
- Associated AWS Glue, KMS, Athena, Redshift, and S3 usage may also incur charges.
- Charges depend on requests, storage, compute, and AI recommendation tokens.
Who it suits
DataZone is designed for engineers, data scientists, product managers, analysts, and business users who need to access and collaborate around organizational data. It may also suit teams managing data assets across AWS, on-premises, and third-party sources.
Verdict
Amazon DataZone brings data cataloging, governed sharing, and AWS analytics integrations into one service. Consider both its usage-based charges and costs from associated AWS services when assessing it.
Plans and prices
From Amazon DataZone's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Pay-as-you-go | Free | 20 MB metadata storage · 4,000 API requests · 0.2 compute units per account each billing month; some core APIs are free · Charges depend on requests, metadata storage, compute, and AI recommendation tokens; no upfront fees or long-term commitments. |
The facts
Each one read from Amazon DataZone's own pages, with the date it was checked.
What it does
- Access fulfillment
- DataZone can automatically fulfill and manage permissions for AWS Lake Formation-managed Glue tables and Redshift tables and views.checked 7 Oct 2026
- AI cataloging
- Large language models can generate business names for structured data, including columns, to help users discover catalog data.checked 7 Oct 2026
- Audit and access
- DataZone integrates with AWS CloudTrail to record actions taken by users, roles, or AWS services.checked 7 Oct 2026
- Business catalog
- Users can search published data, request access, and work with cataloged data through a business data catalog.checked 7 Oct 2026
- Encryption in transit
- DataZone uses TLS and client-side encryption in transit, and communication with the service is over HTTPS.checked 7 Oct 2026
- Governed sharing
- Governed workflows help ensure data is accessed by the right user for the right purpose.checked 7 Oct 2026
- Integrations
- Built-in producer sources include AWS Glue Data Catalog and Amazon Redshift, and analytics integrations include Amazon Athena and Redshift Query Editor.checked 7 Oct 2026
- ML tools
- Amazon SageMaker integration lets users access data and ML assets and publish newly created assets to the business catalog.checked 7 Oct 2026
- Pricing limits
- Charges may also apply for AWS Glue, KMS, Athena, Redshift, and S3 usage associated with DataZone.checked 7 Oct 2026
- Projects
- Projects let teams collaborate around data assets and manage and monitor those assets across projects.checked 7 Oct 2026
- Purpose
- Amazon DataZone helps customers catalog, discover, share, and govern data across AWS, on-premises, and third-party sources.checked 7 Oct 2026
- Security
- DataZone encrypts data at rest by default with an AWS-owned KMS key and supports customer-managed KMS keys for catalog data.checked 7 Oct 2026
- Users
- The service is designed to help engineers, data scientists, product managers, analysts, and business users access and collaborate around organizational data.checked 7 Oct 2026
The company
- Founded
- 2023checked 28 Sep 2026
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