Difference between RDBMS and MongoDB
MongoDB is an open-source document-oriented database used for high volume data storage. It falls under the classification of a NoSQL database. NoSQL tool means that it doesn’t utilize the usual rows and columns. MongoDB uses BSON (document storage format) which is a binary style of JSON documents.
Features of MongoDB:
- Multiple Servers: It can run over multiple servers.
- Schema-less Database: It is a schema-less database.
- Indexing: Any field in the document can be indexed.
- Rich Object Model: It supports a rich object model.
- High scalability
- Distributed database
What is RDBMS?
It stands for Relational Database Management System. It stores data in the form of related tables.
Features of RDBMS:
- Gives a high level of information security.
- It is quick and precise.
- Provides facility primary key, to exceptionally distinguish the rows.
- Schema-fix Database
- Not scalable
The trade-off between RDBMS and MongoDB:
Trade-off b/w RDBMS and MongoDB
Difference between RDBMS and MongoDB:
|It is a relational database.
|It is a non-relational and document-oriented database.
|Not suitable for hierarchical data storage.
|Suitable for hierarchical data storage.
|It is vertically scalable i.e increasing RAM.
|It is horizontally scalable i.e we can add more servers.
|It has a predefined schema.
|It has a dynamic schema.
|It is quite vulnerable to SQL injection.
|It is not affected by SQL injection.
|It centers around ACID properties (Atomicity, Consistency, Isolation, and Durability).
|It centers around the CAP theorem (Consistency, Availability, and Partition tolerance).
|It is row-based.
|It is document-based.
|It is slower in comparison with MongoDB.
|It is almost 100 times faster than RDBMS.
|Supports complex joins.
|No support for complex joins.
|It is column-based.
|It is field-based.
|It supports SQL query language only.
|It supports JSON query language along with SQL.
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