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 ...

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 ...

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 ...

While document-based databases are increasing in relevancy due to their optimizations for performance and scalability, employing a set of practices aimed at best using document databases for your ...

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 ...

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

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 ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Fauna, the distributed document-relational database delivered as a cloud API, today announced the general availability of their new TypeScript-inspired database ...

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.