MongoDB is a NoSQL document-oriented database where RDBMS maintains the ACID property. In this article, we’ll dive into the key difference between RDBMS and MongoDB, exploring their architecture, scalability, data modeling, and use cases, to help you determine which database system is the best suited for your project’s requirements.
The main difference between RDBMS and NoSQL is that RDBMS is a relational database and MongoDB is a non-relational, distributed database. We can go through the below table to understand more in detail :
Difference between RDBMS and MongoDB :
| Feature | RDBMS Database | MongoDB |
| Schema | It is a schema-fix database that means schema needs to be defined in RDBMS database. | Schema can be dynamically created and accessed in MongoDB. |
| Data Structure | Data will be always structured. that means should always be in table format, and row-column should be there | It can have structured, unstructured and semi-structured data as well. |
| Scalability | The RDBMS database is hard to scale. If required, the machine resources like CPU, and RAM can be increased, So it is vertically scalable | It is horizontally scalable. i.e. data can be distributed across different clusters. |
| Normalization | Normalization is the process of removing the duplicates and anomalies. RDBMS database use normalization to remove anomalies. | In MongoDB data can be de-normalized, hence data retrieval is much faster. |
Also, you can get more details from the MongoDB Doc. Hope this helps!!
In our next article, we have mentioned in detail how to install MongoDB in Linux Redhat
