Limitations of SQL vs NoSQL

Deepika Sahu answered on December 20, 2022 Popularity 4/10 Helpfulness 1/10

answer Limitations of SQL vs NoSQL

Limitations of SQL vs NoSQL

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Relational Database Management Systems that use SQL are Schema –Oriented i.e. the structure of the data should be known in advance ensuring that the data adheres to the schema.
Examples of such predefined schema based applications that use SQL include Payroll Management System, Order Processing, and Flight Reservations.
It is not possible for SQL to process unpredictable and unstructured information. 
However, Big Data applications, demand for an occurrence-oriented database which is highly flexible and operates on a schema less data model.
SQL Databases are vertically scalable – this means that they can only be scaled by enhancing the horse power of the implementation hardware, thereby making it a costly deal for processing large batches of data.
IT enterprises need to increase the RAM, SSD, CPU, etc., on a single server in order to manage the increasing load on the RDBMS.
With increasing size of the database or increasing number of users, Relational Database Management Systems using SQL suffer from serious performance bottlenecks -making real time unstructured data processing a hard row to hoe.
With Relational Database Management Systems, built-in clustering is difficult due to the ACID properties of transactions.

Popularity 4/10 Helpfulness 1/10 Language sql

Source: Grepper

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Contributed on Dec 20 2022

Deepika Sahu

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Limitations of SQL vs NoSQL

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