NoSQL databases have capabilities that traditional relational databases do not. They are especially useful for handling big data.
For an introduction to relational databases and NoSQL databases, see Types of databases.
You might choose a NoSQL database for the following reasons:
To store large volumes of data that might have little to no structure.
NoSQL databases do not limit the types of data that you can store together, and they enable you to add new data types as your needs change. With document-oriented databases, you can store data in one place without having to define the data type in advance.
To make the most of cloud computing and storage.
To scale a cloud solution, you need date that is easy to share across multiple servers.
To speed development.
A relational database slows you down when you develop in rapid iterations or make frequent updates to the data structure. However, because you don't need to prepare NoSQL data ahead of time, you can make frequent updates to the data structure with minimal downtime.
To boost horizontal scalability.
The CAP (consistency, availability, and partition tolerance) theorem states that you can use only two of the three CAP properties simultaneously in any distributed system. Adjusting these properties in favor of strong partition tolerance enables NoSQL users to boost horizontal scalability.
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Updated 6 months ago