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 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, ...

Four queries and some in-app iteration on collections (joins). At my current job, we have a monolith of similar size/complexity that sits on top of a relational database. The DAOs are somewhat 1:1 ...

For the first time in over 20 years, there appear to be cracks forming in the relational model’s dominance of the database management systems market. The relational database management system (RDBMS) ...

Data isn't just oil anymore; it’s the oxygen your enterprise breathes. In 2026, the volume of data flowing through the average mid-to-large enterprise isn't just massive—it’s complex, messy, and ...

Database normalization is the cornerstone of database theory. Once a database is normalized, relationships between the data in multiple tables must be established. A hefty part of designing a ...

Graph-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year. Today’s Series A ...

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 ...