Types Of NoSQL Database Management Systems

The NoSQL databases comprise a wide variety of database-related technologies to meet the dynamic demands of modern applications.

Today's developers work on various data types which can be structured, semi-structured, unstructured, or polymorphic. Relational databases are not designed to meet the demands of these applications and development environments. So, the developers feel stuck at some point in the development cycle, whether during the decision on the architecture of the application or during the scaling of the application at a later stage of the deployment cycle.

NoSQL databases, like MongoDB, play a very important role to allow the developers and the development teams to focus on the application programming part without worrying a lot about the data complexities.
Therefore, the developers feel a lot of flexibility and scalability. There are a lot of benefits that we can achieve when we use NoSQL databases as these are more scalable and give better performances. So, for the contemporary development environment, which is rapid and uses agile methodologies, quick iterations, and frequent code pushes, the developers feel a lot easier to use NoSQL databases, like MongoDB in order to meet their demands.

There are four major types of NoSQL database management systems. These are classified as follows.

• Key-value paired databases
• Column-oriented databases
• Document-oriented databases
• Graph databases

Let us look at them one by one.

Key-value paired databases
These are the simplest NoSQL databases. Here, the data is stored as a name (or key) with its value. Some key-value paired databases also have the feature to give the data type such as int or float.
Examples of key-value paired databases are:
• Berkeley DB
• Redis

Column-oriented databases
These types of NoSQL databases allow you to store the columns of data instead of rows. These are very effective in handling the queries of large data sets.
Examples of column-oriented databases are:
• Cassandra
• HBase

Document databases
These databases pair each key with a data structure called to document and these documents then contain key-value pairs, key-array pairs, and nested documents.
Examples of document databases are:
• MongoDB
• Couchbase

Graph databases
These databases are useful in storing data that are inter-connected as nodes just like a graph. These databases add an extra layer of highlighting the relationship among the documents.
Examples of document databases are:
• OrientDB
• Neo4j

Hope this article was helpful. Which one is your preferred NoSQL database? Leave a comment below.

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