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Amazon SageMaker Feature Store Adds UpdateRecord for Feature-Level Writes

Amazon SageMaker Feature Store now supports feature-level writes through the new UpdateRecord API, allowing updates to individual feature values without rewriting an entire record.

By Illumora Editorial

Source · Sep 8, 2026, 6:29 PM · On Illumora · Sep 8, 2026, 6:32 PM

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Read the source →AWS Machine Learning Blog — Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes | Amazon Web Services
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The Amazon SageMaker Feature Store has introduced support for feature-level writes. This new capability is enabled by the UpdateRecord API, which allows users to modify one or more feature values in a single call.

This update eliminates the need to read or rewrite an entire record when only specific feature values require modification. The UpdateRecord API is available across both the Standard (Amazon DynamoDB) and In-Memory (Amazon ElastiCache) online store tiers.

Key Points

  • Amazon SageMaker Feature Store now supports feature-level writes.
  • The new UpdateRecord API enables this functionality.
  • Users can update one or more feature values in a single call.
  • The UpdateRecord API removes the need to read or rewrite an entire record for partial updates.
  • This feature is available for both the Standard (Amazon DynamoDB) and In-Memory (Amazon ElastiCache) online store tiers.

Context

According to the AWS Machine Learning Blog, the Amazon SageMaker Feature Store has enhanced its capabilities by introducing the UpdateRecord API. This API specifically addresses the need for more granular control over feature data, allowing for efficient updates.

Why It Matters

This update provides builders with a more efficient method for managing feature data within Amazon SageMaker Feature Store. The ability to modify individual feature values without processing entire records can reduce operational overhead and improve data management workflows.

What To Do

  • Review the documentation for the Amazon SageMaker Feature Store to understand the UpdateRecord API specifications.
  • Test the UpdateRecord API in development environments to assess its impact on existing feature engineering pipelines.
  • Compare the performance and cost implications of using UpdateRecord versus previous methods for updating feature values.
  • Note the availability of the UpdateRecord API across both Standard (Amazon DynamoDB) and In-Memory (Amazon ElastiCache) online store tiers for deployment planning.