You can create meaningful reports from data in a database. Your data has a built-in structure to it. Information of a given type is always stored only once. Databases are ACID.

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale.

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases.

Financial Development and Structure Dataset (updated September 2015) Authors: Thorsten Beck, Asli Demirguc-Kunt, Ross Eric Levine, Martin Cihak and Erik H.B. Feyen Web Address: Finance Research Topics ...

An SQL database might hold name, date of birth, address, etc, but analysing unstructured data – via making it semi-structured – can get closer to what consumers think.

Good old-fashioned SQL still rules the database roost, though popular offerings in the NoSQL camp are closing the gap, while MySQL is the most popular of the whole bunch. The new 2019 Database Trends ...

Pioneering crystallographer Helen Berman helped to set up the massive collection of protein structures that underpins the Nobel-prize-winning tool’s success.

Need to use raw SQL with JPA and JPA? The Jakarta Persistence API's NativeQuery interface makes it possible to use Hibernate, SQL and JPA together in the same app.

In less than a month, researchers have used AlphaFold, an artificial intelligence (AI)-powered protein structure database, to design and synthesize a potential drug to treat hepatocellular carcinoma ...