The database is evolving rapidly. Old database structures are being replaced by new data based structures. There are two types of databases – SQL and NoSQL.
What is a SQL Database?
SQL or relational databases are structured. They can be compared to phone books that stores phone numbers and addresses. It organizes structured data fields in defined columns. SQL is a programming language that is used by software engineers to design rational databases. Some examples of SQL database include MySQL, Oracle, Sybase and IBM DM2. These databases help execute queries, recover data and edit data. Editing data includes updating, deleting or creating new records.
What is a NoSQL Database?
NoSQL or non-relational databases are document oriented. They store the data like file folders, i.e. they hold everything, from a person’s address or phone number to their Facebook likes, shopping preferences, etc. It doesn’t incorporate the table model; the data can be stored in a single documented file. Hence, the data can be found easily but it cannot be categorized into fields like a relational database does. For example, Hadoop is an open source computing and data analysis platform that processes huge amounts of data in the cloud and is popular with NoSQL database stacks.
Advantages of SQL
Advantages of NoSQL
So, when would using NoSQL make sense?
Following are the instances when using NoSQL makes sense:
When would using SQL make sense?
So, which one is better – SQL or NoSQL?
So now that we’ve got a download on SQL and NoSQL database, you will need to assess if you require a relational or non-relational database management system. The idea that both these databases are in competition is not true – remember, that most companies use them concurrently.
If your data structure needs are changing and growing fast every minute, you need NoSQL; whereas, if you don’t have a changing structure and have a moderate growth rate, you must opt for SQL.
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