Difference between No SQL and SQL


In today’s industry, many databases are utilized. There are SQL databases and NoSQL databases among the databases. The traditional database is a SQL database system that represents data and relationships using a tabular relational paradigm. The NoSQL database is a newer database that uses a different technique for storing and retrieving data than relational databases’ tabular relations model.

What is No SQL

A NoSQL database is a non-SQL or non-relational database that does not use SQL.

It provides an alternative to relational databases’ tabular relations approach for data store and retrieval. Tables aren’t used in NoSQL databases to store data. It is commonly used to store large amounts of data as well as real-time online applications.

Flat File Systems were popular in the early 1970s. Data was saved in flat files, which have several drawbacks, including the fact that each organization uses its flat files and there are no standards. Because there is no standard way to store data, it is extremely difficult to store data in files and retrieve data from files.

E.F. Codd devised the relational database, which answered the question of why there was no standard way to store data. However, relational databases later had the problem of being unable to handle large amounts of data; as a result, a demand for a database that could handle all types of difficulties arose, and the NoSQL database was created.

The Benefits of NoSQL

  • It has a query language.
  • It has a quick performance.
  • It allows for horizontal scaling.

What is SQL

Basic and advanced SQL concepts are covered in this SQL training. Our SQL training is appropriate for both beginners and experts.

SQL (Structured Query Language) is a programming language that is used to conduct operations on database records, such as updating, inserting, removing, and creating and altering database tables and views.

Assume you want to use the SQL language to run queries on the database’s data. Any database management system, such as Oracle, MySQL, MongoDB, PostgreSQL, SQL Server, DB2, and others, must be installed in your systems.

SQL is commonly used in data science and analytics nowadays. The following are some of the factors that contribute to its extensive use:

  • SQL commands like INSERT, UPDATE, and DELETE from a relational database is the extensively used by data professionals and SQL users.
  • SQL allows data professionals and users to extract information from relational database management systems.
  • SQL users can use it to create, delete, and manipulate databases and tables.
  • It also aids in the creation of database views, SQL procedures, and functions.
  • It enables you to define and alter the data stored in a relational database.
  • It also allows SQL users to change permissions or create new ones.

Difference between No SQL vs SQL

Relational Database Management Systems (RDBMS) is a type of database (RDBMS).Non-relational or distributed database systems are classified as NoSQL databases.
SQL databases have a fixed, static, or pre-set schema.Dynamic schema is a property of NoSQL databases.
Vertical scalability is a feature of SQL databases.NoSQL databases can scale horizontally.
SQL databases define and handle data using a powerful language called “Structured Query Language.”To query data in NoSQL databases, a collection of documents is used. An unstructured query language is another name for it. It varies from database to database.
Complex queries are best served by SQL databases.Complex queries are not well suited to NoSQL databases since they lack the power of SQL queries.
SQL databases aren’t ideal for storing hierarchical data.NoSQL databases are great for storing hierarchical data.
SQL databases include MySQL, Oracle, SQLite, PostgreSQL, and MS-SQL.NoSQL databases include MongoDB, Bigtable, Redis, Raven DB, Google Firebase, Cassandra, HBase, Neo4j, CouchDB, etc.


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