NoSQL attacked both relational databases and SQL in the same vein. The main problem this time was that the Internet had destroyed the underlying premise of the 40-year-old relational database ...

Thus, SQL drove the adoption of relational databases to near ubiquity. However, we’ve started to hit the limitations of what relational systems can do. Data no longer follows a uniform structure.

Relational databases (SQL) have been used for decades by nearly every type of business around the world. The technology is reliable, based on stable standards, and has been mature for more than 20 ...

Boston's Akiban Technologies is seeking to emerge as a player in the world of database technology in 2013, with software that aims — for the first time — to allow businesses to handle complex ...

What made SQL more successful was the advent of the relational database. First designed by IBM computer scientist E. F. Codd in 1970, relational databases organize data into rows and columns so it ...

For technical clarification, databases come in two flavors: relational and non-relational. Relational (SQL) databases store data in tables with strictly-defined relationships between tables.

SQL, the structured query language, is a programming language for communicating with databases. Variations on SQL are used by some of the most popular database tools in the world, including some ...

Selivanov doesn’t have anything personal against the relational database management system. In fact, he appreciates what RDBMSs have done for us, in particular the mathematical completeness of SQL and ...

Relational database-management systems (RDBMS) only model data as a set of tables and columns, carrying out complex joins and self-joins when the dataset becomes more inter-related.

At its Ignite conference in Orlando today, Microsoft released a new version of its core relational database, SQL Server. The new version, SQL Server 2019, takes important capabilities in its ...