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SPECIFICTION
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Amazon DataZone

aws.amazon.com

Free plan WebAPI
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Spec score 8.0 #10 of 43 in Data Lineage Tools

What it is

Amazon DataZone is a cloud service for cataloging, discovering, sharing, and governing data across AWS, on-premises, and third-party sources. Its business data catalog lets users search published data and request access. Projects give teams a way to collaborate around data assets and manage and monitor them, while governed workflows align access with users and purposes. Large language models can generate business names for structured data, including columns, to support discovery. Built-in producer sources include AWS Glue Data Catalog and Amazon Redshift; analytics integrations include Amazon Athena and Redshift Query Editor. DataZone can fulfill and manage permissions automatically 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. It supports automated discovery, column-level lineage, impact analysis, and pipeline lineage. Data is encrypted at rest by default with an AWS-owned KMS key, with customer-managed keys supported for catalog data. Traffic uses TLS and client-side encryption, and service communication is over HTTPS. CloudTrail records actions. Associated AWS Glue, KMS, Athena, Redshift, and S3 usage may also incur charges.

Spec sheet

Purpose
Amazon DataZone helps customers catalog, discover, share, and govern data across AWS, on-premises, and third-party sources.Read 7 Oct 2026 · aws.amazon.com
Integrations
Built-in producer sources include AWS Glue Data Catalog and Amazon Redshift, and analytics integrations include Amazon Athena and Redshift Query Editor.Read 7 Oct 2026 · aws.amazon.com
Security
DataZone encrypts data at rest by default with an AWS-owned KMS key and supports customer-managed KMS keys for catalog data.Read 7 Oct 2026 · docs.aws.amazon.com
Founded
2023Read 28 Sep 2026 · aws.amazon.com
Access fulfillment
DataZone can automatically fulfill and manage permissions for AWS Lake Formation-managed Glue tables and Redshift tables and views.Read 7 Oct 2026 · aws.amazon.com
AI cataloging
Large language models can generate business names for structured data, including columns, to help users discover catalog data.Read 7 Oct 2026 · aws.amazon.com
Audit and access
DataZone integrates with AWS CloudTrail to record actions taken by users, roles, or AWS services.Read 7 Oct 2026 · docs.aws.amazon.com
Business catalog
Users can search published data, request access, and work with cataloged data through a business data catalog.Read 7 Oct 2026 · aws.amazon.com
Encryption in transit
DataZone uses TLS and client-side encryption in transit, and communication with the service is over HTTPS.Read 7 Oct 2026 · docs.aws.amazon.com
Governed sharing
Governed workflows help ensure data is accessed by the right user for the right purpose.Read 7 Oct 2026 · aws.amazon.com
ML tools
Amazon SageMaker integration lets users access data and ML assets and publish newly created assets to the business catalog.Read 7 Oct 2026 · aws.amazon.com
Pricing limits
Charges may also apply for AWS Glue, KMS, Athena, Redshift, and S3 usage associated with DataZone.Read 7 Oct 2026 · aws.amazon.com
Projects
Projects let teams collaborate around data assets and manage and monitor those assets across projects.Read 7 Oct 2026 · aws.amazon.com
Users
The service is designed to help engineers, data scientists, product managers, analysts, and business users access and collaborate around organizational data.Read 7 Oct 2026 · aws.amazon.com

Plans and prices

Pay-as-you-go Free Charges depend on requests, metadata storage, compute, and AI recommendation tokens; no upfront fees or long-term commitments. 20 MB metadata storage · 4,000 API requests · 0.2 compute units per account each billing month; some core APIs are free Read 7 Oct 2026 · aws.amazon.com

Every Amazon DataZone plan and price →

Strong points and limits

Strong points

  • Catalog covers AWS, on-premises, and third-party data
  • Projects support collaboration around data assets
  • Automates permissions for specified Glue and Redshift assets
  • Supports column-level lineage and impact analysis
  • CloudTrail records user and service actions

Limits

  • Associated AWS Glue usage may incur charges
  • Associated KMS usage may incur charges
  • Associated Athena, Redshift, and S3 usage may incur charges

Who it suits

It is designed for engineers, data scientists, product managers, analysts, and business users who need to access and collaborate around organizational data. Teams using AWS data and analytics services may find its catalog and access workflows relevant.

Verdict

Amazon DataZone brings cataloging, access requests, governed sharing, and lineage into a cloud service. Account for possible charges from connected AWS services as well as DataZone usage.

Where Specifiction places it

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