AWS Adds Native Vector Search to DynamoDB, Enabling Millisecond Similarity Queries

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AWS recently announced native vector search support for DynamoDB, allowing developers to store vector embeddings directly alongside operational data. The feature eliminates the need to replicate data to a separate vector store, promising single-digit millisecond query latency. Vector indexes scale automatically in line with the underlying operational data, with no imposed storage limits. A developer walkthrough compared DynamoDB vector search against the separately available S3 Vectors service, provisioning both using Terraform and seeding data via Amazon Bedrock embeddings. Each service suits different use cases, with DynamoDB favored for low-latency transactional workloads and S3 Vectors positioned for large-scale, cost-efficient storage scenarios.

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