Best use cases to use No SQL database
Tags: nosql, database, mongodb, redis
Published: 2023-01-15 15:06:34

Do you want to know when to use No SQL database?
Below is some information, best of my knowledge :) 

NoSQL databases are a popular choice for many modern applications, as they offer several advantages over traditional relational databases. However, it's important to understand when to use a NoSQL database and when to use a relational database.

**1. Handling large amounts of unstructured data**
 NoSQL databases are particularly well-suited for handling large amounts of unstructured data, such as text, images, and videos. They can store and retrieve data quickly and efficiently, even when dealing with very large datasets.

**2. High scalability**
 NoSQL databases are designed to be highly scalable, making them well-suited for applications that need to handle a large number of users or a high volume of data. They can easily scale horizontally, by adding more machines to the cluster, which allows them to handle increasing loads.

**3. High availability**
 NoSQL databases are also designed to be highly available, meaning that they can continue to operate even when one or more machines in the cluster fail. This makes them well-suited for applications that need to be available 24/7, such as e-commerce or social media applications.

**4. Flexible data model** 
NoSQL databases have a flexible data model that allows developers to store and retrieve data in a way that best suits their application. They can store data in a variety of formats, such as key-value pairs, documents, and graphs, which allows developers to choose the best data model for their application.

**5. Real-time data processing** 
NoSQL databases are optimized for real-time data processing, which makes them well-suited for applications that require low-latency data access.

On the other hand, relational databases are best for applications that require complex queries, transactions, and referential integrity. They provide a structured data model, which allows developers to define relationships between tables and enforce constraints. They are also better for applications that require data to be stored in a specific format, such as financial or medical records.

In summary, NoSQL databases are best for applications that require high scalability, high availability, and the ability to handle large amounts of unstructured data. They are also well-suited for real-time data processing. Relational databases, on the other hand, are best for applications that require complex queries, transactions, and referential integrity. It's important to evaluate the specific requirements of an application and choose the appropriate type of database.


There are many different types of NoSQL databases available, each with its own strengths and weaknesses. Some of the most popular NoSQL databases include:

**MongoDB**: MongoDB is a document-oriented NoSQL database that is designed for scalability and high performance. It stores data in a flexible JSON-like format, which allows for easy and efficient data manipulation. MongoDB is also known for its scalability and ability to handle large amounts of data.

**Cassandra**: Cassandra is a distributed NoSQL database that is designed for high scalability and availability. It is based on a column-family data model and uses a peer-to-peer architecture, which allows it to handle a high volume of data and a large number of concurrent users.

**Redis**: Redis is an in-memory NoSQL database that is known for its high performance and scalability. It stores data in a key-value format and supports a wide range of data types, such as strings, hashes, lists, and sets.

**Amazon DynamoDB**: Amazon DynamoDB is a fully managed NoSQL database service that is designed for high performance and scalability. It is a key-value and document-based database that supports both document and key-value data models.

**Couchbase**: Couchbase is a document-oriented NoSQL database that is known for its high performance and scalability. It uses a document data model and supports a wide range of data types, including JSON, binary, and text.

These are just a few examples of popular NoSQL databases, there are many other alternatives available, each with their own set of features, capabilities and use cases. It's important to evaluate the specific requirements of your application and choose the appropriate NoSQL database based on your use case.