Batch write and discover records in Amazon SageMaker Feature Store
SageMaker Feature Store gets batch writes and record discovery — practical wins for ML pipeline engineers.
Why it matters
Amazon SageMaker Feature Store adds two operational APIs (BatchWriteRecord, ListRecords) that reduce latency and complexity in feature ingestion workflows. Practitioners managing production ML pipelines gain immediate tooling to scale feature writes and audit data lineage.
The key facts
9 to knowBatchWriteRecord: up to 25 records across multiple feature groups in single call
ListRecords: enumerate record identifiers within a feature group
AWS SageMaker Feature Store product update
Code examples provided for implementation
Published August 28, 2026
BatchWriteRecord API: up to 25 records across multiple feature groups in single call
ListRecords API: enumerates record identifiers within a feature group
AWS SageMaker Feature Store product feature
Code examples provided in AWS blog post
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Amazon SageMaker Feature Store now supports two new APIs: BatchWriteRecord writes up to 25 records across multiple feature groups in a single call, and ListRecords enumerates record identifiers within a feature group. In this post, we walk through each API with code examples you can use to get…