Amazon SageMaker Feature Store now supports batch record writes to eliminate the overhead of individual PutRecord API calls. Previously, high-throughput pipelines required one call per record, forcing fraud-detection systems to sustain tens of thousands of requests per second. This update increases ingestion throughput for ML practitioners managing large-scale feature groups.