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, ...

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 ...

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 ...

Keyword search in graphs and relational databases constitutes a pivotal research domain that seeks to bridge the gap between natural language queries and complex data repositories. By enabling users ...

The 13% succeeding with AI platforms share one move: unifying their data on an extensible Postgres® foundation.

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 ...

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 ...

Neon, a startup that’s building a serverless open source alternative to AWS Aurora Postgres, today announced that it raised around $46 million in a new funding round, about $30 million of which came ...

Up through the first decade of the 21st century, the world of relational databases wasn’t a particularly exciting one. From their arrival in the 1970s, relational databases mostly supported rather ...

Microsoft today launched Dataflex, a relational database that lets business developers create, deploy, and manage Power Platform apps and chatbots without leaving Microsoft Teams. The built-in low ...