In “The end of SQL and relational databases? (part 1 of 3)” I covered some background on the SQL language and relational databases, the current and future for relational databases, the rise of ...

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Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

As more computing functions move to the cloud, a relatively new database format — NoSQL — is poised to take the place of the SQL database on which so many manufacturers rely. Automation experts weigh ...

SQL is about as easy as it gets in the world of programming, and yet its learning curve is still steep enough to prevent many people from interacting with relational databases. Salesforce’s AI ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...

Next-generation database companies are developing technologies to help businesses manage increasing volumes of data and increasingly complex data types. Not Your Father’s Relational Database The world ...

Several major database systems provide extensions to support the management and analysis of spatial data in a relational database system (IBM02, Ora01 and IBM01). The functionality is also ...