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
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.
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