Difference Between NoSQL and SQL

• Manage big data

  Facebook is a very popular commercial site, which manages millions of visitors and data. So think as a programmer, when a user logs in, they want to be able to instantly access their account. However, each user has different information. If we want to store a record for each user, something that looked like the data records at the right. Note that not every user has the same information (some users will have a username, some will only have an email address etc.), Each record has a different length and different values.

  NoSQL databases are built to allow the insertion of data without a predefined schema. That makes it easy to make significant application changes in real-time, without worrying about service interruptions, which means development is faster, code integration is more reliable, and less database administrator time is needed.

• Key-value Database

  The NoSQL database manages to store this kind of data, create a key for each record, and then store whatever fields are available as bins, where each bin consists of a name and a value. This type of database is called a key-value store because each record has a primary key and a collection of values (bins). It is also called a row store because all of the data for a single record is stored together, in something that we can think of conceptually as a row.

• High Scalability

  The advent of big data and the need for large-scale parallel processing to manipulate this data has led to the widespread adoption of horizontally scalable infrastructures. Some of these horizontally scaled infrastructures at Google, Amazon, Facebook, eBay, and Yahoo involve a very large number of servers. Some of these infrastructures have thousands and even hundreds of thousands of servers. In NoSQL database, automatically spreads data across servers as necessary and horizontally, meaning that to add capacity, a database administrator can simply add more commodity servers or cloud instances.

• Column-Oriented Stores

  The column-oriented storage allows data to be stored effectively. It avoids consuming space when storing nulls by simply not storing a column when a value doesn't exist for that column. Column-oriented databases contain one extendable column of closely related data. The row-key of the first data point could be 1 and the second could be 2. Then data would be stored in a sorted ordered column-oriented store in a way that the data point with row-key 1 will be stored before a data point with row-key 2 and also that the two data points will be adjacent to each other.

• Faster than Relation database

  The key-value database is much more suitable for the requirements of massive big data when compared to the relational model. In short, key-value data stores are much faster. NoSQL systems are flexible enough to better enable developers to use the applications in ways that meet their needs. NoSQL databases are also often faster because their data models are simpler. So finally, NoSQL databases generally process data faster than relational databases.

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