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, ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...

The design of a database determines what method is best suited for backing it up, and those methods vary quite a bit. In order to back up a database, you need to know how it’s delivered, but you also ...

Raj Verma is the CEO of SingleStore. He brings more than 25 years of global experience in enterprise software and operating at scale. Whether you’re in ride-hailing, financial services, network ...

Most projects benefit from having a data model. This article gives an overview of the most common types. At its heart, data modeling is about understanding how data flows through a system. Just as a ...

The role of the database administrator (DBA) has always been crucial to ensuring that databases are properly organized, secured, and optimized. But recent years have seen many significant changes in ...

Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI. Like ...

Last month we looked at various types of database recovery, how they work, and how DBAs need to prepare for recovery scenarios. This month, let’s delve a little deeper into the issues and decisions ...