Abstract: Data-driven applications have grown increasingly dependent on the effective management and retrieval of great amounts of semi-structured and unstructured information in the Big Data age.

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.

Tiered storage will help enterprises reduce their storage expenditure as they continue to adopt AI use cases for various tasks, analysts say. Google has added a fully managed tiered storage capability ...

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.

Microsoft’s donation of DocumentDB to the Linux Foundation marks a strategic shift in the NoSQL database landscape, creating the first vendor-neutral document database standard that could reshape how ...

This guide shows how to connect Azure Cosmos DB for NoSQL in DBeaver. Before you can start managing your database, it's essential to establish a connection in DBeaver. This involves selecting the ...

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 ...

Aerospike, Inc., the real-time database for mission-critical use cases and workloads, is debuting new expression indexes—or a method of indexing that simplifies application code—that supercharge query ...

Google has released the MCP Toolbox for Databases, a new open-source module under its GenAI Toolbox aimed at simplifying the integration of SQL databases into AI agents. The release is part of ...