Difference between SQL and NoSQL

Here you will learn about difference between sql and nosql or sql vs nosql.

Both are a complete different concept, which could be better understood by the following explanation.


SQL or the Structured Query Language is a Database language for storing, retrieving and accessing database. SQL stores data in the form of data-tables i.e. SQL is a relational database system (RDBMS). It contains queries like commands through which we can get to access, retrieve and manipulate our data.

Also Read: Difference between DBMS and RDBMS

These commands are standardized for the making the migration of projects easy from one system to the other.

For instance: The SELECT command is used to select particular records from the given or designated table. It is used to select only those records which we need to perform any action on. The selected records are then stored in the result-set and any action (if required) is performed on only those records.

Likewise, many more commands are available with the SQL which makes us communicate with our database easily and thus in a way handles our database for us.

SQL is used to build complex databases which have the capability to handle large amount of data in structured format.

Some of the SQL database management systems are:

  • MySQL
  • Oracle
  • Sqlite
  • PostgreSQL


As the name suggests “NoSQL” is just the opposite of SQL. All the features are reversed in NoSQL.

NoSQL on the other hand is a non-relational database management system. NoSQL is used for developing database for companies with low budget and small amount of data to work on. NoSQL has greater flexibility than SQL because it stores data in the form of graphs, charts, objects ad offers a room for new data entries to be accommodated easily in the database despite of their uniqueness.

But database researchers seek this flexibility as a misguiding feature when it comes to cross platform migration of such databases.

One more point of difference is the lack of standardization of the database query formats. This is another issue that needs to be solved to popularize NoSQL. With this, NoSQL also requires a documentation rich community for problem solving and with easy to learn tutorials to guide new developers take the advantage of this emerging technology.

Some of the NoSQL database management systems are:

  • MongoDB
  • BigTable
  • Redis
  • RavenDB
  • Cassandra

Difference between SQL and NoSQL

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Difference between SQL and NoSQL

SQL is Relational Database Management System (RDBMS). NoSQL is Non-relational database system.
SQL databases require a schema to be developed in advance and all the data is stored according to that schema. NoSQL databases have dynamic schema.
In SQL data is stored in forms of tables in the database. In NoSQL, data stores data in from of objects, documents, graphs,  key-value pairs etc.
SQL uses standardized SQL Syntax commands to query the data. NoSQL uses non-standardized query formats to retrieve the data.
SQL databases are used when data to be stored is huge and complex database is required. NoSQL databases are used when data to be stored is less and budget is low.

Comment below if you have queries regarding difference between sql and nosql.

5 thoughts on “Difference between SQL and NoSQL”

    1. There’s not much information I found about clipper and haven’t used it myself so can’t be sure but as much as I found it seems to be a structured programming language to create databases.


      No, Clipper are (or was) a language to manipulate data in no relational schema. Clipper works with data files where each are like a ‘table’. If you need a index, you need to explicitly assign the index with the table. Relations needs to be declared each time when use…yes, if you need 30 reports than use the same relations you will declara this 30 times….
      But was a great language…the firsts ERP were written in Clipper.

  1. sir,but facebook uses nosql and it has huge amount of data and you wrote that nosql is used for small amount of data???
    this is making me confused.
    please clear the dilemma.

    1. First of all let me clear your doubt. Facebook doesn’t use just one type of technology to provide it’s services and store data. Major part is handled using MySQL and the database hand, Apache Hadoop and many others. So basically when you are using such a wide range of technologies, it’s good to find the most suitable way to work on a given task. NoSQL databases have their own merits and demerits and are used accordingly, but with the current technology, they can’t play a major role in Big databases as with facebook.
      You can find more here – http://www.datacenterknowledge.com/data-center-faqs/facebook-data-center-faq-page-2

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