New release adds global database connections, logical datasources, relational validation and flexible inspections to ...

AI hype has triggered millions of people and many corporations to dabble in AI with some launching full-blown applications.

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

Abstract: In this paper, a new database design idea based on TDMS format of Labview is proposed that has been successfully programmed and practiced. Firstly, the paper will discuss the respective ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

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 ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

Naresh Miryala is an accomplished engineering leader at Meta with nearly two decades of experience in cloud and data platform engineering. As someone deeply involved in the database space, the rapid ...

Transaction processing against relational databases may not be the focus of the datacenter, as it was when IBM created the first relational database and Oracle was founded to compete against it in the ...

A decade ago, most businesses and organizations typically used one database, and that was generally one of the big four relational database platforms: Oracle, MySQL, SQL Server or PostgreSQL. In 2024, ...