The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Read now Fifty years ago, relational databases were neither ubiquitous nor standardized.

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, ...

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, ...

On Jan. 23, 2007 the W3C granted Recommendation status to XQuery, the XML query language designed to do for Web services what SQL did for relational databases. XQuery allows you to work in one common ...

A question asked about data contained in two or more tables in a relational database. The relational query must specify the tables required and what the condition is that links them; for example, ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg has ...

I met with Charles Silver, the CEO of Algebraix Data, a startup based in San Diego. He was telling me about his company's approach to querying large databases, very quickly, and with no need for prior ...

GraphQL may end up having as much impact as SQL did, by simplifying the process of querying any data system. GraphQL, an emerging standard for querying multiple types of data systems, is shifting the ...

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 ...

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...