Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...

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 ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...

Builds a governed, business-object path from enterprise DBs to AI agents, opening opportunities for AI platforms, data ...

Reports of the death of the relational database have been greatly exaggerated – at least in the enterprise. According to a new study from Progress Software – the company’s latest annual data ...

A relational database is a type of database that organizes data points with defined relationships for easy access. In the relational database model, the data structures-- data tables, indexes and ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

Even though MongoDB and Cassandra keep winning converts, enterprises are keeping their RDBMSes around, and will do so for quite some time. NoSQL promised to upend the database market as big data ...

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, ...