Interested in a Career in the Data Field? First Understand What is NoSQL – Desiliciouskitchen


Desiliciouskitchen-Working in the data industry does have interesting career prospects. Well, if you are really interested in starting a career in that field, then NoSQL is one of the things that must be mastered first. Besides SQL, there are NoSQL terms which are equally important to understand for people who are interested in working in the data field.

According to GeeksforGeeks NoSQL itself has emerged since the late 1960s. However, it only gained attention in the early 2000s when the demand for large amounts of data grew. So, what exactly is NoSQL and what are its advantages and disadvantages when compared to SQL? If you want to know the answer, you should continue to read the explanation below, yes!

What is NoSQL?

NoSQL stands for Not Only SQL or Not SQL. This one thing is actually not a language like SQL. The reason is, NoSQL is a non-relational data management system that does not require a fixed schema, according to Guru99. By using this one thing it will avoid data merge so it is easier to scale.

The main purpose of using NoSQL databases is for distributed data storage with large data storage needs. So, companies that need large volumes of data will choose to use NoSQL to collect their data. Indeed, NoSQL is generally used for the use of big data and real-time web applications.

For example, companies such as Twitter, Facebook, and Google will definitely collect huge amounts of user data every day.

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NoSQL Database Type

Launching from MongoDB, there are 4 main types of NoSQL databases. Here is the full explanation.

1. Document database

The document database stores data in documents similar to JSON objects (JavaScript Object Notation). The concept of a document database is more efficient and flexible.

So, the program will be easier to develop because the document database will adjust the data storage based on the program’s needs.

This type of database is very suitable for general purpose databases. In addition, the document database is also able to accommodate large volumes of data.

2. Key-value database

This type of database is simpler because each item contains a key and value as a place to access data. A value or value is usually only retrieved by referencing the key or keys.

So learning how to query for specific key-values ​​can be simpler. This key-value database is better suited for storing large amounts of data that do not require complex queries to retrieve it.

3. Column-based database

Column-based databases provide more flexibility than relational databases because each row is not required to have the same column. Each column is created separately and the values ​​in a single column database are stored contiguously.

This type of database provides high performance on aggregation queries such as SUM, Count, AVG, to MIN because the data is already available in columns. Column-based is widely used to manage data warehouses, business intelligence, to CRM.

4. Graph database

Graph database stores data in nodes and edges. Nodes usually store information about people, places, and things. Meanwhile, the edge stores information about the relationship between nodes.

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This type of database is superior in applications where the user needs to find out relationships or patterns. For example for social networks, fraud detection, logistics to recommendations.

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NoSQL Advantages and Disadvantages

After knowing the meaning and what are the types of NoSQL databases, now know first what are the advantages and disadvantages.


1. Performance

NoSQL databases are said to have superior performance when compared to SQL databases. This is because all the information is contained in one database only. Meanwhile, with SQL then the user has to query the data in multiple tables first. However, with NoSQL everything is in one table so retrieving data can be done quickly. Some forms of NoSQL databases can even perform up to ten thousand queries per second.

2. Scalability

Another advantage of NoSQL is its scalability. This database uses horizontal scaling by dividing the data and placing it across multiple machines. Meanwhile, vertical scaling means adding more resources to the machine. So it can be called more expensive and requires a lot of resources. Vertical scaling is also not as easy to implement as horizontal scaling. So, you could say that using NoSQL can be easier and cheaper than SQL.

3. Flexibility

As Altexsoft mentioned, NoSQL is more flexible making it much easier to test ideas and make updates. This is especially important in modern applications where data structure changes are frequent and must be quick and easy.


1. Requires a lot of databases

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The use of NoSQL is highly specialized for certain uses. This is different from SQL which is more general and can meet a variety of needs. So, with NoSQL it takes some kind of database and data model to use it. In fact, it may still be necessary to use some form of SQL to help streamline the process.

2. Database size can be very large

NoSQL is not designed to remove duplication of data so database sizes can get very large. It requires more data storage space to prepare if you want to use NoSQL.

3. Not easy management

Managing huge amounts of data is not easy. That’s why data management in NoSQL has become more complex. Although the goal of using NoSQL is to make managing large amounts of data as simple as possible, it is not an easy task. Therefore, managing this one thing requires more extra effort because it is quite difficult.

Thus an explanation of NoSQL starting from the definition, types, to the advantages and disadvantages.

Hopefully this article can help you!!

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