California based Graph AI, focused on patient safety and pharmacovigilance, announced its $3 million Seed round, led by Bessemer Venture Partners. The investment will enable Graph to accelerate ...

Users left wondering whether to fork it or forget it as another FOSS project bites the dust The KuzuDB embedded graph ...

Oracle also introduced Autonomous AI Lakehouse, a new platform that combines Oracle’s Autonomous AI Database with the open ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

Apollo GraphQL, the graph-based API orchestration leader, is expanding GraphQL as the essential orchestration layer for AI agents and modern applications, introducing enhanced AI tooling with Apollo ...

Grafana Labs, the company behind the open observability cloud, today announced major advancements that make observability simpler, ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

This article was written by Bloomberg Intelligence senior industry analyst Mandeep Singh and associate analyst Robert Biggar. It appeared first on the Bloomberg Terminal. AI’s shift to inference at ...

Understanding your customer base and planning early are essential steps when designing a scalable, multi-tenant database architecture that balances cost, performance and isolation. Building and ...

Neil is a freelance tech journalist with 20 years of experience in IT. He’s the host of the popular Tech Talks Daily Podcast, picking up… Enterprise data teams have been wrestling with the complexity ...

Abstract: Memory performance bottlenecks the execution of graph applications, from traditional graph analytics (GA) to rapidly evolving graph neural networks (GNNs), due to the large size and ...