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, ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

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 ...

NoSQL keeps rising, but relational databases still dominate big data Your email has been sent NoSQL promised to upend the database market as big data forced a sea change in how we think about and ...

Data integration can seem like a never-ending quest as organizations try to combine and access data from disparate applications and sources. But as we move beyond relational as the only DBMS type that ...

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, ...

Excel possesses formidable database powers. Creating a relational database starts with a Master table that links it to subordinates, called (awkwardly) Slave, Child, or Detail tables. Before we dive ...

From AWS, Google and Oracle to Databricks, IBM and Snowflake, here are the top 16 vendors leading the cloud database management systems market, according to Gartner’s new Magic Quadrant. Gartner’s Top ...

Excel used to be the poor schmuck’s database, with spreadsheets that just sort of sat there. You could create something more sophisticated with LOOKUP functions, but they were a huge hassle to set up.