Cloud databases, also known as Database as a Service (DBaaS), offer a range of benefits for developers, particularly in terms of ease of use, deployment options, disaster recovery, and scalability.

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.

Rose Dixon, development operations deputy at the Semper Fi Fund and a longtime database manager, shared with The Chronicle three charts she created when faced with databases that needed an overhaul.

Data is the lifeblood of many businesses. From e-commerce platforms to healthcare systems, every industry relies on data to drive decision-making, enhance customer experiences, and optimize operations ...

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The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

The data management landscape is undergoing a serious transformation. While traditional relational databases have been the ...

Sensor data and IoT applications have special requirements that might be better served by a specialized database. Here’s what to consider. The world has become “sensor-fied.” Sensors on everything, ...