Which database to choose? Oracle or MongoDB?

 Oracle and MongoDB are most popular databases for SQL & NoSQL on the market . They are both powerful tools that can handle a large amount of data. However, they have different features and use cases. Let's take a look at the key differences between Oracle and MongoDB.

1. Structure
Oracle uses a relational database structure, which means that data is organized into tables with rows and columns. MongoDB uses a document-oriented database structure, which means that data is organized into documents with fields.


2. Scalability
Oracle is vertically scalable, which means that you can increase the size of your database by adding more hardware resources like CPU and memory. MongoDB is horizontally scalable, which means that you can increase the size of your database by adding more servers.


3. Cost
Oracle is a commercial product and you need to pay for a license to use it. MongoDB is an open source product and you can use it for free.


4. Ease of Use
Oracle can be difficult to use because it has so many features. MongoDB is easier to use because it has a simpler structure.


5. Performance
Oracle is faster for transactional workloads while MongoDB is faster for analytical workloads.


My view point:

If you're trying to decide between Oracle and MongoDB, it's important to understand the key differences between them. Oracle is a relational database while MongoDB is a document-oriented database. Oracle is vertically scalable while MongoDB is horizontally scalable. Oracle is more expensive but also more feature-rich while MongoDB is free but has a simpler structure. Finally, Oracle performs better for transactional workloads while MongoDB performs better for analytical workloads. Ultimately, the best choice for you will depends on your specific needs and requirements.