MongoDB's document-based database structure is better suited for the demands of the AI and big data era, offering flexibility and scalability at a lower cost. The global database market is projected ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

Document databases offer a wonderfully flexible data model that often leads to scaling and performance issues. Here’s how Aerospike overcomes these challenges. Digital transformation continues to be a ...

Moving its eponymous NoSQL document database to the cloud and running it as a managed service has been a watershed event for MongoDB, which like a number of its peers in the broader database market ...

NoSQL databases were born out of the need to scale transactional persistence stores more efficiently. In a world where the relational database management system (RDBMS) was king, this was easier said ...

A document database is a type of nonrelational database that is designed to store and query data as JSON-like documents. Document databases make it easier for developers to store and query data in a ...

The database industry has undergone a quiet revolution over the past decade. Traditional databases required administrators to provision fixed capacity, including both compute and storage resources.

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...