Difference between SQL and No SQL


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SQL stands for Relational Database while No-SQL stands for No-relational Database. Both have its pros and cons.


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SQL vs NoSQL :


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While choosing a database, the first query arises is that whether you should go for Relational i.e. SQL or Non-relational (NoSQL) data structure. Both these data structures are having pros and cons to each other.  Here’s the quick guide to these data structures along with the comparison : What is SQL? Structured Query Language (SQL), is a domain-specific language used in programming and designed for managing data held in a relational database management system ( RDBMS ), or for stream processing in a relational data stream management system (RDSMS). Relational databases use relations to store the data. This data then match within the dataset. It is used for the data manipulation and management. SQL is used to insert, query, update and modify the data . What is NoSQL? Contrary to SQL, a NoSQL database doesn’t require a schema i.e. self-describing. Its documents are JSON documents. These are complete entities that one can readily read and understand. NoSQL utilizes a wide variety of data models which are high performance and non-relational databases. These databases are easy to use, give scalable performance, strong resilience, and wide availability. For examples, MongoDB , Couchbase , CloudDB , etc.

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Difference between SQL and NoSQL: There are a lot of differences between SQL and NoSQL, which are important to understanding while making the decision of choosing the database for your website or organization. The major differences are : 1 . Language: Let’s understand the difference of Language by taking an example. Suppose there is an island A in which all people speak the same language, use the same language for communication and every other purpose. Now in this island changing the language would disrupt the communication and would be very difficult. Now, there is another island B in which every person speaks a different language and there is no universal language, changing one person’s language will not affect anyone else . 2. Scalability: In most general cases, SQL databases are vertically scalable. It means that you can increase the load on a single server by increasing CPU, RAM or SSD. On the other hand, NoSQL databases are horizontally scalable; this means they can handle the more traffic by simply adding more servers to the database. NoSQL is more preferable for large and constantly emerging datasets due to the ability to become larger .

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3. Structure: SQL databases are table-based. On the other hand, NoSQL databases are document-based, graph databases, key-value pairs, or wide-column stores. Systems like accounting system, legacy systems or other which consists of multi-row transactions require SQL databases . SQL is a good choice for organizations that can get benefit from its pre-defined structure and schemas, which require multi-row transactions, for example, accounting software . NoSQL , on the other hand, is a good choice for a business that has rapid growth or databases with no clear definitions.

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