Amazon SageMaker and when to use Amazon SageMaker vs Amazon DataZone

Amazon SageMaker Catalog, built on Amazon DataZone, allows users to centrally manage their data assets. You can catalog your data assets, search and discover the data, use built-in generative AI capabilities to create metadata, or you could just ask Amazon Q Developer natural language questions to find your data. Users can consistently define and enforce access policies using a single permission model with fine-grained access controls centrally in the Amazon SageMaker Unified Studio. You can create business glossary, extend your metadata and build data products that can be shared with large teams with fine grained access control. You can also view data quality scores and discover data lineage of your data assets.

You can access Amazon SageMaker Catalog from Amazon SageMaker Unified Studio. Unified Studio is a development experience within Amazon SageMaker that brings together AWS data, analytics, artificial intelligence (AI), and machine learning (ML) services. It provides a place to build, deploy, execute, and monitor workflows from a single interface. This helps drive collaboration across teams and facilitate agile development.