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Amazon SageMaker Feature Store Adds BatchWriteRecord and ListRecords APIs

Amazon SageMaker Feature Store has added BatchWriteRecord and ListRecords APIs to allow bulk writing and record identifier discovery across feature groups.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

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Amazon SageMaker Feature Store now supports two new APIs designed to manage feature store records. Among these additions, the BatchWriteRecord API writes up to 25 records across multiple feature groups in a single call. This capability allows users to perform multi-group write actions within a single operation.

Alongside write operations, the update introduces the ListRecords API for discovering stored data. The ListRecords interface enumerates record identifiers within a feature group. AWS has published a technical walkthrough of each API accompanied by code examples to help developers get started.

What this means for you

The introduction of BatchWriteRecord and ListRecords provides machine learning developers with more direct programmatic control over data ingestion and record tracking. Writing up to 25 records across multiple feature groups in one request reduces the overhead of individual calls. Meanwhile, listing record identifiers directly within feature groups facilitates feature discovery and pipeline validation.

Evidence

Solidly sourced
46/100
  • Amazon SageMaker Feature Store has added support for two new APIs.

    single source
    Quote

    Amazon SageMaker Feature Store now supports two new APIs

  • The BatchWriteRecord API can write up to 25 records across multiple feature groups in a single call.

    single source
    Quote

    BatchWriteRecord writes up to 25 records across multiple feature groups in a single call

  • The ListRecords API lists record identifiers located inside a feature group.

    single source
    Quote

    ListRecords enumerates record identifiers within a feature group

  • AWS provides walkthroughs and code examples to assist users with the new APIs.

    single source
    Quote

    walk through each API with code examples you can use to get started

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: August 28, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
1
Verified statements
0 / 4
Evidence score
46Solidly sourced

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