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.

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 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 ...

SQL is a relatively innocent bystander, but, because SQL is a universal feature of the RDBMS, the term “NoSQL” seemed a catchy and convenient tag for these new breed of databases. And, it’s true that, ...

This innovation marks a significant evolution in database interfaces. SQL, an acronym that stands for Structured Query Language, was first introduced in 1973. For the last 50 years, ...

When library databases allow users to browse by topic, in addition to searching by keyword, the overall research experience is significantly enriched. The benefits of topic browsing include simplified ...