Google has overhauled Firestore’s query engine, introducing "Pipeline operations" that enable complex server-side aggregations and array unnesting. The update shifts Firestore Enterprise toward an ...

The AI boom has pushed household names to the forefront, sending mega-cap AI leaders into countless portfolios. But markets have ...

This project bridges the gap between non-technical users and NoSQL databases by leveraging Large Language Models (LLMs) to translate natural language queries into database-specific query languages.

Abstract: The increasing heterogeneity, volume, and velocity of modern data have exposed fundamental limitations in traditional relational database management systems (RDBMS), fueling the widespread ...

Dr. Andrew Cowell, a professor of linguistics and faculty director of the Center for Native American and Indigenous Studies (CNAIS), has spent years building databases cataloging the Arapaho language.

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.

MongoDB delivered results that blew past the high end of management's forecast and Wall Street's most bullish estimates. The company's strategy is attracting more customers interested in artificial ...

Aug 27 (Reuters) - Shares of MongoDB (MDB.O), opens new tab surged about 31% on Wednesday after the database software firm said its Atlas cloud service was seeing increasing usage as more customers ...

Document databases are an increasingly important type of technology in the gen AI era. A document database is a type of NoSQL database that doesn't rely on rows and columns like a traditional ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...