Relational and NoSQL Databases are the two types of databases we know of in the world of technology.
These two are entirely different based on the processing of data and how it is stored. Each of the databases has a different role to play, and in this post, you will know everything about them.
There are some significant differences suited for specific software, and I will enlighten you about the choices to make that will make your life easier!
To understand the differences better and for new readers, lets first get to know a bit about both of the Databases.
What are the SQL Databases?
SQL Databases are the traditional technology forms used for years and has a strict and straightforward data structure. These are called relational databases and store data in tables that have a fixed schema.
Each information is directly linked to a particular Data set, for eg., data sets used in E-Commerce products. The data can be interlinked and processed according to any collection of commands.
This Database has been in use for the longest time, and changing requirements like big data called for an alternative in the form of NoSQL.
What are the NoSQL Databases?
NoSQL Databases are called non-relational Databases that do not operate on a fixed scheme basis. Instead of joining the dots to a predefined database, NoSQL Databases are used mostly for Big Data analysis as these are more scalable and cost-friendly.
These are primarily used by big tech companies, for example, data used at scale as in companies like Facebook, Youtube, Twitter, Linkedin, etc.
Now that you have a basic understanding of the two types of Databases let’s talk about the significant differences between the two.
1. Open Source
NoSQL Databases tend to be open-source and have a large community of fans. They are widely used in major corporations and are cost-effective.
While you are engaged in technology and face a roadblock, you find a lot of answers online.
On the other hand, SQL is a closed source, and getting to fix any significant part of the software invites a similar kind of fee.
SQL Databases are preferred for vertical scaling. These are having relational databases that make them convenient to scale with similar kinds of Data as in E-Commerce.
NoSQL, on the other hand, is preferred for most of the scaling needs. NoSQL has been tried and tested for big data by most of the companies and continue to disrupt technologies.
SQL Databases use a table-based Structure, whereas NoSQL uses a more random document or graph-based structure.
SQL should be your preference if your data is more predictable and does not need many changes and variations in the future. SQL has a predefined structure and should be preferred for a similar kind of structure.
If your data demands tend to remain random and have a tendency to change at any point in time, NoSQL should be your choice as it offers a random document or graph bases structure.