Difference Between SQL and NoSQL
Data:
Data is a collection of facts and figures.
Database:
Database is a collection of data stored in a format that can be accessed easily.
Database Management System(DBMS):
DBMS is software designed to store, retrieve, define, and manage data in a database.
Relational Database Management System(RDMS):
A Relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model.
SQL:
- SQL stands for Structured Query Language.
- It is a language used for accessing and managing databases.
- Data can be accessed,retrieve,remove and add within a particular database using SQL.
- It is mainly useful for handling structured data where relations exist between various data entities and variables.
- SQL offers the advantage of retrieving multiple records through a single command.
- It is vertically scalable.
- SQL is used to perform all types of data operations in RDBMS like MySQL,Oracle etc.
- It is a table based database.
- The data in an RDBMS is stored in database objects which are called as “tables”.
- SQL is one of the most versatile and widely-used options available, making it a safe choice and especially great for complex queries.
NoSQL:
- NoSQL stands for Not Only Structured Query Language.
- NoSQL are non-relational Or Distributed databases.
- NoSQL databases have dynamic schemas for unstructured data.
- NoSQL databases are horizontally scalable.
- NoSQL databases are document, key-value, graph or wide-column stores.
- NoSQL are better for unstructured data like documents or JSON.
- Each document can have its own unique structure.
Conclusion:
“If your data is very structured and ACID (Atomicity, Consistency, Isolation, Durability) compliance is a must then SQL is a great choice. On the other hand, if your data is unstructured, NoSQL is the best choice. The data stored in a NoSQL database does not need a predefined schema like it is required for a SQL database.”