The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

MarkLogic, provider of an enterprise NoSQL database platform, has introduced the MarkLogic Query Service, a new way to give customers elasticity in the cloud for their mission-critical, ...

Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

Kinetica, a relational database provider for online analytical processing (OLAP) and real-time analytics, is harnessing the power of OpenAI’s ChatGPT to let developers use natural language processing ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Among the messages that Oracle is putting out for its flagship database, adding new access paths for developers has become just as important as adding new data types. This month, Oracle is launching ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...