AI is not just another workload layered on top of existing infrastructure. It is fundamentally changing how software behaves, how data flows, and what systems are expected to do in real time. Nowhere is this more apparent than in the database. For years, databases have been treated as stable, predictable ...
The role of the database is undergoing the biggest transformation since the invention of SQL. What was once a reliable but largely invisible component of software systems is now moving to the center of the AI stack. In the age of machine learning, real-time inference, and autonomous systems, databases are ...
For decades, databases have been designed around a simple assumption: humans write queries, systems return results. That model worked well when data volumes were manageable, query patterns were predictable, and applications moved at human speed. But the AI era breaks all of those assumptions at once. Today, data is generated ...