Understanding the difference between SQL and NoSQL

Understanding the difference between SQL and NoSQL

27 Oct 2021
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Understanding the difference between SQL and NoSQL

The biggest decision while selecting a database is to where select a relational (SQL) or non-relational (NoSQL) data structure. While the databases are viable options, they still possess certain key differences that users must keep in mind when arriving at a decision.

 

Key highlights - SQL vs NoSQL :

 

SQL

  • Relational database management system (RDBMS)

  • This database contains fixed/static/predefined schema

  • They are not suited for hierarchical data storage.

  • They are best suited for complex queries

  • Vertically Scalable

  • Follows ACID property

 

NoSQL

  • Non-relational or distributed database system.

  • This database has a dynamic schema

  • They are best suited for hierarchical data storage.

  • They are not suitable for complex queries

  • Horizontally scalable

  • Follows CAP (Consistency, Availability, & Partition tolerance)

 

SQL vs NoSQL: Which database is better to use?

 

As both of the databases have their advantages as well as disadvantages, choosing between SQL and NoSQL depends entirely on individual circumstances. SQL databases are long-established with a fixed schema design and structure. They are perfect for applications that demand multi-row transactions like accounting systems or legacy systems that are developed for a relational structure.

 

Since NoSQL doesn't have a rigid schema they are quite flexible, Simple to use and most importantly, easily scalable. Applications like CMS, Real-time Analytics and big data applications which have no specific schema definitions are ideal for NoSQL.




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