Data Scientist:3 Signs to Know whether you Need to Install a SQL or NoSQL Database

Data Scientist:3 Signs to Know whether you Need to Install a SQL or NoSQL Database

SQL databases are popular among developers because there is a huge amount of information, infrastructure technology to implement sophisticated databases of this type. Computational effort has been improved so that data modelers or data scientists are able to manage large amount of data that uses SQL databases. Nevertheless, there is a point in which it is not possible for a company to implement SQL databases over NoSQL databases. This is why it is important for you to identify at which levels you are able to start thinking about implementing a NoSQL database.

Google and Facebook are two of the main contributors in the development of nosql databases and Frameworks. These companies rely on large amount of data per second so that they are able to continue working at a fast pace.

This article shows you 3 signs in which you will be able to identify that a NoSQL database is what you need to store your data.

Large Volume and Variety of Data (Scalability)

Nosql databases allows you to store a wide variety of files with different extensions so that you can manipulate data in different structures and sizes.
Nosql databases are designed more friendly as the database does not require
a detailed database model. You also are able to aavoid definition of the schema whether more data is added to the database.
There are four different types of NoSQL databases such as graph, key value, column and document.

  • Column.- these databases stores columns instead of rows
  • Graph.- data related to collections and networks are stored in this type of database
  • Document.-key-value pairs stored in this type of databases
  • Key value.- the values are stored in this type of database

Data availability

Nosql databases relies on the horizontal scale-out of nodes where you can store data. This fosters that the CPU memory or capacity is not affected as SQL databases do when they are scaled-up. More data is able to be added to the databases at any time without affecting their performance. Low down time also is a characteristic of this type of databases.

Data consistency and data integrity is not a priority for your database

The flexibility of your database in this case is that your data does not need to be displayed display to everyone at the same time. This means that data consistency contributes to tell you about selecting NoSQL databases
On the other hand, data Integrity contributes to manage different types of files in the same database so that you can design a combination of a SQL and NoSQL database. SQL data can establish relationships words that are useful for you to get and nosql data is managed for other purposes that do not require the establishment of relationships among your data.