Build an offline feature store using Amazon SageMaker Unified Studio and SageMaker Catalog

Amazon AWS AI Blog / 3/16/2026

💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage

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Key Points

The post shows how to implement an offline feature store using SageMaker Catalog within a SageMaker Unified Studio domain, enabling versioned feature tables and a publish-subscribe pattern.
Data producers publish curated, versioned feature tables, while data consumers can discover, subscribe to, and reuse them for model development.
The architecture emphasizes decoupling producers from consumers to improve data freshness, governance, and collaboration across ML teams.
It provides step-by-step guidance and considerations for integrating offline feature stores into the SageMaker Studio workflow.

This blog post provides step-by-step guidance on implementing an offline feature store using SageMaker Catalog within a SageMaker Unified Studio domain. By adopting a publish-subscribe pattern, data producers can use this solution to publish curated, versioned feature tables—while data consumers can securely discover, subscribe to, and reuse them for model development.