ToolsAugust 28, 2026via AWS Machine Learning Blog
Batch write and discover records in Amazon SageMaker Feature Store
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.
Key signals
- BatchWriteRecord: 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
The hook
SageMaker Feature Store gets batch writes and record discovery — practical wins for ML pipeline engineers.
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 start…