Amazon DataZone vs Google Cloud Knowledge Catalog

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.

Google Cloud Knowledge Catalog has no write-up on Specifiction yet; its figures are above.