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, ...

Increase productivity and eliminate developer stopgaps by evolving the way you manage databases. Software development has come a long way in the past few decades, but data management hasn’t. It’s time ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

How must databases adapt to generative AI, and how should databases be integrated with large language models (LLMs)? These are questions that Sailesh Krishnamurthy has grappled with for several years ...

Nearly half of the databases that public health officials at the Centers for Disease Control and Prevention were updating on a monthly basis have been frozen without notice or explanation, according ...

As businesses shift toward smarter digital infrastructures, the database landscape is rapidly evolving. Siva Prasad Nandi, a researcher in cloud-native technologies, explores the rise of serverless ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.