Node.js is a JavaScript runtime environment that allows JavaScript to run on the server side. It uses the V8 engine and is cross-platform, high-performance, and allows for building scalable network applications. MongoDB is a scalable, flexible, high-performance NoSQL database that stores data in flexible, JSON-like documents. An Object Document Mapper (ODM) allows mapping between objects in application code and documents in MongoDB. The MERN stack uses MongoDB, Express, React, and Node.js and allows building single-page web applications that are high-performance, scalable, flexible, efficient, and secure.

1. ‫الرحیم‬ ‫الرحمن‬ ‫هللا‬ ‫بسم‬
Instructor: Fida Muhammad “Safi”
Presented By Shamsullah “Shamsi”

2. Node.JS + MongoDB
MERN Apps

3. Contents of this Presentation
• Node.js
• Drivers
• ODM
• MERN stack

4. Node?
• Run time environment
• V8 engine
• High performance
• Cross platform

5. What is run time environmnt?
Run Time Environment

6. V8 engine
Compiler of JS

7. High Performance and Crossplatform
Node.js is a cross-platform runtime
environment, which means it can be used
on a wide range of operating systems and
platforms without significant modification.
This cross-platform compatibility is a key
advantage of Node.js and offers several
benefits
Node.js is known for its high-performance
characteristics, which make it a
compelling choice for building a wide
range of applications. Here are the key
factors that contribute to the high
performance of Node.js

8. MongoDB:
Have you ever wondered how the world's most innovative
applications manage their data in the era of Big Data and
real-time interactions:
● Flexibility and Schema-less Design
● Scalability
● High Performance
And the most important thing: Rich Querying and Indexing

9. Properties:
MongoDB is designed to scale
horizontally, making it well-suited
for handling large volumes of
data and high-traffic applications.
It supports sharding, which allows
for distribution of data across
multiple servers, enhancing
performance and capacity as
needed
MongoDB's document-oriented
data model allows for flexible and
dynamic schema design. This
means that each document
(record) within a collection can
have different fields, making it
easier to adapt to evolving data
requirements.
Flexibility and Schema-less
Design Scalability

10. Continue…
MongoDB leverages the V8
JavaScript engine and is built
for speed. It efficiently
handles read and write
operations and is capable of
processing real-time data
and high-speed transactions
MongoDB provides powerful
querying and indexing
capabilities, allowing for
complex queries and
aggregation operations. This
is particularly useful for data
analysis and reporting
MongoDB stores data in a
JSON-like format, making it
easy to work with data that is
structured similarly to the
objects used in application
code. This simplifies data
management and reduces
the need for complex
mapping
High Performance Rich Querying and Indexing JSON-like Documents

11. In programming, an "object" typically
refers to a self-contained and reusable
unit of code that combines data
(attributes) and the functions
(methods) that operate on that data.
In the context of databases and data
storage, a "document" refers to a
structured and self-contained unit of
data that can represent information in
a non-tabular or hierarchical format.
A "mapper" is a software component
or tool responsible for mapping data
between two different representations
or domains.
Object
Mapping
Document
What is ODM

12. MERN STACK DEVELOPMENT
Develop
• Single page
• High Performance
• Scalable
• Flexible
• Efficient
• Secure
MERN stack application for
your business.