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 ...

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 ...

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 ...

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 ...

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.

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

Community driven content discussing all aspects of software development from DevOps to design patterns. In Ye Olden Days, I was a COBOL programmer, working on a Unisys E1100 system with a CODASYL ...