Introduction
It's not pretty easy to choose the appropriate Database to store our data. Sometimes the choice that we make may or may not come in handy.
When making a project too this same discussion comes up: which database should be chosen to fulfill the data requirements of the project and again we fall in the same question which database should we choose?
In this article, we will be describing the critical differences between relational and non-relational databases. Also, we will discuss the pros and cons of the same.
Relational databases
A relational database can be defined as a collection of items that can have various predefined relationships amongst them. The items in a relational database are always organized in specific tables, and the columns and rows of these tables represent different things. The columns represent item attributes, and the rows here represent a single data item.
When we wish to identify each element in a table that is too unique, we have to define a primary key to every table.
Do you know the most famous interface that is readily used to communicate with relational databases?
SQL- Structured Query Language is the answer!
Let’s now have a look at some examples of the SQL database engines:
- MySQL
- Postgres
- Microsoft SQL Server
-
SQLite
Let’s now take you through the pros and cons of Relational Databases.
Pros
- They are considered to be perfect for structured data.
- It uses an existing and famous query language (SQL)
- It is considered fabulous for complex queries
- These types of databases are extremely easy for navigating data
- The transactions here are extremely secure
- The reliability of these databases is pretty high.
Cons
- These databases have an upfront schema definition
- They do not adapt to the changing requirements.
- If we do not use expensive hardware, then the data processing can be expected to be slow.
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