What type of Database you should use?

There are 2 major types of databases, which are relational databases and NoSQL databases. Relational databases, such as MySQL and Oracle, use structured query language (SQL) to store and retrieve data. NoSQL databases, on the other hand, use a variety of data models, such as key-value pairs, document-oriented, and graph databases. Both types of database can exist in the cloud, local servers or in your laptop. But which type of database should you use?

It is difficult to say which type of database is "better" because the best type of database for a particular application depends on a number of factors, such as the amount of data, the type of data, and the specific requirements of the application. 

Relational databases are well-suited for applications that require complex queries and transactions because they use a structured query language (SQL) that allows users to easily retrieve and manipulate data. They are also designed to ensure data integrity and consistency, which is important for applications that require accurate and up-to-date data. Additionally, relational databases are scalable, so they can handle large amounts of data and support a large number of users. This makes them a good choice for applications that need to store and manage large amounts of structured data.

We can list some of main rational databases advantages as follow:

• They use a structured query language (SQL) that allows users to easily retrieve and manipulate data.
• They are designed to ensure data integrity and consistency, which is important for applications that require accurate and up-to-date data.
• They are scalable, so they can handle large amounts of data and support a large number of users.
• They are widely used and supported, so there is a large community of developers and a wealth of resources available to help users work with relational databases.
• They are well-suited for applications that require complex queries and transactions, such as online banking systems and e-commerce websites.

While they have many advantages, they also have some disadvantages and limitations. One disadvantage is that they can be complex to set up and maintain, especially for applications with large and complex data sets. This will usually require a skilled database administrator and can increase the cost of implementing and maintaining the database.

Another limitation of relational databases is that they are not well-suited for applications that require high performance and scalability. Because they use SQL, which is a relatively slow and resource-intensive language, relational databases can become slow and inefficient when dealing with very large data sets. They are also not very flexible, which can make them difficult to use for applications with complex or rapidly changing data structures.

Overall, while relational databases are a good choice for many applications, they may not be the best choice for every application, and it is important to carefully consider their disadvantages and limitations when deciding which type of database to use. Feeling disappointed? Don't worry, here comes the NoSQL databases.

NoSQL databases are a type of database that uses a different data model than traditional relational databases. Rather than using structured query language (SQL) and tables to store and retrieve data, NoSQL databases use a variety of data models, for example:

1. Key-value stores: These databases store data in the form of keys that are mapped to values. They are the simplest and most efficient type of NoSQL database, and are well-suited for applications that require high performance and scalability.
   
   
2. Document-oriented databases: These databases store data in the form of documents, which can contain many different fields and nested data structures. They are more flexible than key-value stores and are well-suited for applications that require complex data structures.
   
   
3. Column-oriented databases: These databases store data in columns rather than rows, which allows them to efficiently store and retrieve large amounts of data. They are often used for applications that require high-speed analytics, such as real-time data warehousing.
   
   
4. Graph databases: These databases store data in the form of nodes and edges, which represent entities and their relationships. They are well-suited for applications that require complex relationships between data, such as social networks and recommendation engines.

The type of NoSQL database that is best for a particular application will depend on the specific requirements of that application, such as the type of data, the amount of data, and the performance and scalability requirements. NoSQL databases are often used for applications that require high performance, such as real-time analytics, user-generated content, and social media.

While NoSQL databases have many advantages, such as flexibility, scalability, and performance, they also have some disadvantages and limitations. It is important to carefully consider their disadvantages and limitations when deciding whether to use a NoSQL database for a particular application.

One disadvantage is that they do not use the structured query language (SQL) that is used by relational databases, which means that users must learn a different language and set of tools to work with NoSQL databases. This can increase the learning curve and make it more difficult for users who are already familiar with SQL.

Another disadvantage of NoSQL databases is that they do not provide the same level of data integrity and consistency as relational databases. Because they use different data models and do not enforce the same rules and constraints, it is possible for data to become inconsistent or corrupted in a NoSQL database. This can be a problem for applications that require accurate and up-to-date data, such as financial systems and medical records.

Finally, relational databases are well-suited for applications that require complex queries and transactions or require a high level of reliability, while NoSQL databases are better for applications that require high scalability and performance.

Ultimately, the best type of database for a particular application will depend on the specific needs of that application.