The announcement of S3 Vectors has sparked intense discussion, with some speculating that it could disrupt the vector database market.

S3 Vectors allows customers to store AI vector data in S3 object storage, a move that potentially allows for much cheaper storage of vectorised data usually held in vector databases.

Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...

AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, ...

PostgreSQL has become the database of choice for developers and enterprises, and YugabyteDB provides one of the most PostgreSQL-compatible enterprise-grade, cloud-native databases on the market.

SAP HANA Cloud now offers more context-aware AI solutions on its single, multi-model platform that brings together vector, graph, text, spatial, and relational data natively. Rather than sending data ...

The accepted paper, titled“Turbocharging Vector Databases using Modern SSDs,” was led by Professor Sang-Won Lee's research team at Seoul National University (SNU), and conducted as part of the ...

Zilliz, the company behind the world's most popular open-source vector database Milvus, today announced it has been recognized as both "Highest Performer" and "Easiest to Use" in G2's Summer 2025 Grid ...

Qdrant Cloud Inference unifies dense, sparse, and image embeddings with vector search to simplify workflows and accelerate AI ...

WP Engine's AI toolkit is designed to work with websites built on WordPress, drawing on sites' structured content, metadata, and traffic patterns already present, and automatically detect, normalize, ...