Oracle Brings Mission-Critical Availability To The Agentic AI Era

Oracle AI Database 26ai introduces Platinum and Diamond availability tiers, post-quantum cryptography, and AI agent data ...

Agentic workflows are making distributed, always-on databases nonnegotiable

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

The largest orbital compute cluster is open for business

As that starts to change, the near-term business of orbital compute is starting to take shape. The largest compute cluster ...
VentureBeat

Agents need vector search more than RAG ever did

What's the role of vector databases in the agentic AI world? That's a question that organizations have been coming to terms with in recent months. The narrative had real momentum. As large language ...
InfoQ

Google BigQuery Previews Cross-Region SQL Queries for Distributed Data

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
TMCnet

Cockroach Labs Pushes Distributed SQL to New Limits with 300-Node, 1PB Cluster Support

The shift to stateful AI workloads has exposed the limits of many existing data architectures. Autonomous agents continuously plan, adapt, and take action across tools and APIs, producing extreme ...
GitHub

feat(sql): rnd_symbol_gaussian() function for generating normally distributed symbols

Is your feature request related to a problem? Yes. When generating synthetic time-series data for testing (e.g., IoT sensor IDs or financial tickers), current random functions like rnd_symbol() ...