Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
-
Economics & Finance
Difference between RDBMS and MongoDB
RDBMS (Relational Database Management System) stores data in structured tables with rows and columns, using SQL to query databases. MongoDB is a NoSQL document-oriented database that stores data as BSON (Binary JSON) documents with dynamic schemas, using its own query language (MQL).
RDBMS
RDBMS stores data as entities in tables. It provides multiple layers of information security and uses primary keys to uniquely identify records and foreign keys to define relationships between tables. RDBMS follows the ACID principle (Atomicity, Consistency, Isolation, Durability). Examples include Oracle, SQL Server, and MySQL.
MongoDB
MongoDB is an open-source NoSQL database that stores data as documents in BSON format. It supports dynamic schemas, built-in replication, sharding, and horizontal scalability. MongoDB follows the CAP theorem (Consistency, Availability, Partition tolerance) and provides a JavaScript-based client for querying.
Terminology Mapping
| RDBMS Term | MongoDB Term |
|---|---|
| Database | Database |
| Table | Collection |
| Row | Document |
| Column | Field |
| Join | Embedded Document / $lookup |
| Primary Key | _id (auto-generated) |
Key Differences
| Feature | RDBMS | MongoDB |
|---|---|---|
| Type | Relational | NoSQL (Document-oriented) |
| Schema | Fixed (must define before use) | Dynamic (created on the fly) |
| Hierarchical Data | Difficult (requires joins) | Built-in support (embedded documents) |
| Scalability | Vertical (add RAM/CPU) | Horizontal (add more servers) |
| Principle | ACID | CAP theorem |
| Query Language | SQL | MongoDB Query Language (MQL) |
| Joins | Complex joins supported | Limited ($lookup aggregation) |
| SQL Injection | Vulnerable (if not parameterized) | Not possible |
| JS Client | Not available | JavaScript-based shell/client |
Conclusion
RDBMS is ideal for structured data with complex relationships and ACID-compliant transactions. MongoDB excels at handling hierarchical, unstructured data with dynamic schemas and horizontal scalability, making it suitable for modern web applications and big data scenarios.
7K+ Views
