It's clear that AI agents are only as good as the data behind them. Now, Google Cloud databases are being rebuilt to feed ...

Oracle tackles database infrastructure with its Globally Distributed AI Database, aiming to ensure zero data loss for mission ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Every enterprise IT executive faces the same AI paradox: their most valuable data sits ...

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...

Abstract: the growth of systems that store the increasing amount of data in the cloud, the problem of building cloud databases with high availability in a distributed environment becomes crucial. This ...

ABSTRACT: Early stages of ground-effect flight transit vehicle (GEFT) development identify benchmark digital prototype performances with approaches to reduce energy consumption by 20% to 80%. 80% ...

AI applications rarely deal with one clean table. They mix user profiles, chat logs, JSON metadata, embeddings, and sometimes spatial data. Most teams answer this with a patchwork of an OLTP database, ...

Key Features Horizontal Fragmentation - Data split by geographic location Data Replication - Catalog replicated across all nodes Distributed Queries - Query processing across multiple nodes ...

For the database world, the future looks extremely challenging—and, even more, exceedingly promising. Looking ahead over the next few years, organizations will be relying on their databases in ways ...

A decade and a half of enterprise cloud adoption has spread vast amounts of data and processing around the globe, and the onslaught of generative AI – and now agentic AI – is only accelerating it.