SQL, or the structured query language, is a specialized programming language designed for working with databases. There are a few different variations of SQL from different organizations and projects, ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

Hadoop stores massive amounts of data across many computers safely.Spark processes big data much faster than traditional ...

A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

Couchbase AI Data Plane brings governed memory, real-time context, and cloud-to-edge data access to enterprises moving AI ...

Genie translates plain English questions into structured SQL queries. National Australia Bank (NAB) is rolling out a conversational artificial intelligence (AI) analytics tool. The tools, Databricks’ ...

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh Krishnamurthy (VP engineering) and Yasmeen Ahmad (product executive Agentic Data Cloud ...

Illustration of the Text2VectorSQL task, with scenarios below showing how integrating SQL queries with vector search unlocks semantic filtering, multi-modal matching and retrieval acceleration. These ...