A relational database is a database that uses structures that permit us to recognize and obtain data in relation to another piece of data in the database. Data in a relational databases are organized into tables.
Relational databases have been an important part of modern computing since their genesis in 1970. Oracle, SQL Server, MySQL, and SQLite are just a few examples of the type of databases that have influenced the industry for decades.
With the arrival of Web 2.0 & Big Data the quantity, scale, and fast changing nature of data storage has shown defects in relational databases. Useful for the tasks they were originally designed for, traditional databases have struggled with the requirements of current computing and its high volume of data.
Consequently, NoSQL (Not Only SQL) databases have quickly replaced relational database in numerous modern applications. NoSQL database’s design concentrates on non-relational data storage, and rather than storing data in an inflexible structured table design, NoSQL uses a number of methods to store data in a way that is decentralized, unlike to relational databases.
NoSQL database stands for “Not only SQL.” It is a non-relational and flexible database used for big data and real-time web apps. NoSQL databases were created to address the constraints of relational databases and were designed specifically for the use of storing unstructured data.
Can handles big data
Is flexible with Data Models – No Pre-Defined Schema
The Data Structure – NoSQL handles unstructured data
Is Cheaper to Manage
The Scaling – Scale out/ horizontal scaling instead of scaling up
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