Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

A relational database can contain many tables. Example For example, a row may hold information of a student named Chloe Clarke and another row will hold information related to another student.

Routine queries to a relational database often require data from more than one file. For example, to obtain the names of customers who purchased a particular product, data must be extracted from ...

Congratulations: You’ve created a relational database—er, “base”! And you’d probably want at this point to take advantage of a couple of Airtable’s calculation options.

While companies may choose to set up their own database servers in the cloud, they can alternatively just purchase a relational database as a service, such as RDS offered by Amazon Web Services (AWS).