Typically referred to as a non SQL, a NoSQL offers a set mechanism for storage and extraction of important data. It actually encompasses a number of database technologies that were created to accommodate large volumes of data regarding users, products, objects, how much data was accessed, performance metrics and processing requirements. These are way more beneficial than their relational counterparts; the latter is not able to handle the scale and speed alterations in modern applications, nor are they capable of handling agility changes.
Types of NoSQL Databases
There are basically 4 types of these databases:
1. Key-value store – These are the least complex options and are designed to store data without a schema. All of the data it comprises of has a key that is indexed, thus the name.
2. Column Store – Column or wide column stores are designed to store large volumes of data as sections or columns, thus the name. This type of NoSQL database allows the storage of data in rows rather than columns thus ensuring high performance and a scalable structure.
3. Document Database – These databases comprise of more complex data and each has its own key for easy extraction. Document databases are designed to store, manage and extract info that is mainly in document form and is also called semi-structured data.
4. Graph – As the name implies, these NoSQL databases are based on graphs and comprise of data that has interconnected components along with variable relations between them.
A NoSQL database allows easy and quick retrieval of complex data and also ensures its availability on a consistent basis. Since these are created on a distributed architecture, anomalies can be handled quickly and effectively; if a node goes down, others will continue operations without data loss thus ensuring consistent performance 24/7.