
The persistent fragmentation of modern data architectures has long forced engineers to juggle disparate systems just to perform a simple semantic query. Modern developers often found themselves trapped in a “syncing nightmare,” managing complex pipelines to move data between operational databases and specialized vector stores. The launch of native vector search for Amazon DynamoDB marks a departure from this fragmented










