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 ...

The study found that materials databases are no longer just places to store information. Instead, they play a central role in determining how well AI models perform. The way data is collected, ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku University. In an article published in the journal Precision Chemistry, they ...

Did you know that over 80% of the data generated today is unstructured? Traditional databases often fall short in managing this type of data efficiently. That’s where vector databases come into play.

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 ...

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 ...