Difference Between Relational Databases and NoSQL Databases, Everything You Mush Know

Mark it Down this article, There are several different types of databases but mostly we work on SQL database and NoSQL database.

Here’s a breakdown of some of the most common ones:

1. Relational Databases: These are the most widely used type and store data in tables with rows and columns. They use a structured query language (SQL) for accessing and manipulating data. Relational databases are good for well-defined data structures and complex queries involving multiple tables. Examples include MySQL, Oracle, and Microsoft SQL Server.
2. NoSQL Databases: NoSQL stands for “Not Only SQL” and refers to databases that don’t follow the relational model. They offer more flexibility in data structure and are often faster for handling large datasets or unstructured data. Different types of NoSQL databases include:

• Document Databases: Store data in JSON-like documents, good for storing complex objects and semi-structured data. (Example: MongoDB)
• Key-Value Stores: Simplest NoSQL type, store data as key-value pairs, efficient for simple lookups. (Example: Redis)
• Column-Family Databases: Organize data by columns instead of rows, good for handling massive datasets with frequently changing structures. (Example: Cassandra)
• Graph Databases: Store data as nodes (entities) and edges (relationships) , useful for modeling interconnected data…