NoSQL
A NoSQL
(originally referring to "non SQL" or "non relational")
database provides a mechanism for storage and retrieval of data that is modeled
in means other than the tabular relations used in relational databases. NoSQL
refers to databases that do not make use of Relation Databases SQL Query
Language. NoSQL stands for Not only SQL.
Why NoSQL is required?
As the amount of data
for an application increased, the Database needs to be scaled to meet this
requirement.
Databases can be scaled in two ways- Either vertically or horizontally.
Vertical scaling involves increasing the processing power of the existing Database server. Thus we have a single powerful Database server
In case of Horizontal scaling we add additional new database servers to the existing one. Thus data gets divided among these to be stored. This scaling also involves the concept of replication and sharding.
In case of relational databases it is easy to go for vertical scaling. However it is difficult to achieve horizantal scaling involving replication and sharding with relational database. With the ever increasing data, horizontal scaling with replication and sharding is the need of the hour.
Databases can be scaled in two ways- Either vertically or horizontally.
Vertical scaling involves increasing the processing power of the existing Database server. Thus we have a single powerful Database server
In case of Horizontal scaling we add additional new database servers to the existing one. Thus data gets divided among these to be stored. This scaling also involves the concept of replication and sharding.
In case of relational databases it is easy to go for vertical scaling. However it is difficult to achieve horizantal scaling involving replication and sharding with relational database. With the ever increasing data, horizontal scaling with replication and sharding is the need of the hour.
Following are the advantages of NoSQL
- Scales
Horizontal - Horizontal
scalability can be achieved easily
- No Schema - It does not
have schema.It support semi-structured data and volatile data.
- Improved
Performance - Read/Write
throughput is very high.
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