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

Excel possesses formidable database powers. Creating a relational database starts with a Master table that links it to subordinates, called (awkwardly) Slave, Child, or Detail tables. Before we ...

Relational databases—databases structured to recognize relations among the information stored in them—are essential for working with large amounts of business data.

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

In the realm of data modeling, many-to-many relationships are often considered an 'odd duck.' Unlike one-to-one or one-to-many relationships, which can be directly implemented in physical database ...

MongoDB is capturing new workloads and has significant long-term growth opportunities. Click here to see why MDB stock is a ...

In a graph database, relationships are first-class citizens that can be directed, labeled, and given properties. Several graph databases rely on a SQL engine and use a table to store the graph data.

Unlike relational databases, NoSQL ones are specifically built to handle rapidly changing unstructured data, making them ideal for organizations dealing with dynamic and varied data formats.

There’s plenty of competition in the market for relational database platforms — from Aurora, Alloy DB, Supabase, PlanetScale, CockroachDB, ZomboDB, Heroku Postgres and Yugabyte, among others.