The intersection of graph and vector databases. With the rise of gen AI, there has been a corresponding growth in the need and demand for vector-capable databases. With a vector, ...

The NoSQL Database Management Systems market is set to continue steady growth in 2025, driven by rising enterprise data volumes and increased investment in artificial intelligence. Traditional ...

The vector database cloud service may attract developers with performance and cost advantages over traditional databases for AI-related workloads, analysts say. San Francisco-based Zilliz has ...

“A vector database organizes and stores vectors - numerical representations of words or phrases generated by LLMs - in a structured way,” explained Mark Nijmeijer, senior director of product ...

REDWOOD CITY, Calif., March 04, 2025 (GLOBE NEWSWIRE) — TigerGraph, the enterprise AI infrastructure and graph database leader, today announced its next generation graph and vector hybrid search ...

An essential component for building more trustworthy AI lies in creating a more solid data foundation on top of graph databases, knowledge graphs, and vector databases. Each element plays a ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

It turns out that AWS customers prefer vector capabilities in existing databases rather than a dedicated vector database offering, according to Sivasubramanian. “They told us they want to use them in ...