Today, organizations from different verticals want to harness the power of data to grab new business opportunities and touch new heights of success. Such an urge leads them to follow unique ways to use and handle data effectively. After all, the right use of data boosts the ability to make business decisions faster. But at the same time, working with data is not as easy as a walk in the garden. It sometimes turns out to be a long-standing problem for businesses that also affects their overall functioning.  Companies expect fast phase development and better data management in every scenario. Modern web-based applications development demands a quality working system that can be deployed faster, and the application is able to scale in the future as per the constantly changing environment.  Earlier, relational databases were used as a primary data store for web application development. But today, developers show a high interest in adopting alternative data stores for modern applications such as NoSQL (Not Only Structured Query Language) because of its incredible benefits. And if you ask us, one of the technologies that can do wonders in modern web-based application development is MongoDB.  MongoDB is the first name strike in our heads when developing scalable applications with evolving data schemas. Because MongoDB is a document database, it makes it easier for developers to store both structured and unstructured data. Stores and handles large amounts of data quickly, MongoDB is undoubtedly the smart move toward building scalable and data-driven applications. If you’re wondering what MongoDB is and how it can help your digital success, this blog is surely for you.

2. Today, organizations from different verticals want to
harness the power of data to grab new business
opportunities and touch new heights of success. Such an
urge leads them to follow unique ways to use and handle
data effectively. After all, the right use of data boosts the
ability to make business decisions faster. But at the same
time, working with data is not as easy as a walk in the
garden. It sometimes turns out to be a long-standing
problem for businesses that also affects their overall
functioning.
Companies expect fast phase development and better data
management in every scenario. Modern web-based
applications development demands a quality working
system that can be deployed faster, and the application is
able to scale in the future as per the constantly changing
environment.

3. Earlier, relational databases were used as a primary data store
for web application development. But today, developers show a
high interest in adopting alternative data stores for modern
applications such as NoSQL (Not Only Structured Query
Language) because of its incredible benefits. And if you ask us,
one of the technologies that can do wonders in modern web-
based application development is MongoDB.
MongoDB is the first name strike in our heads when
developing scalable applications with evolving data schemas.
Because MongoDB is a document database, it makes it easier
for developers to store both structured and unstructured data.
Stores and handles large amounts of data quickly, MongoDB is
undoubtedly the smart move toward building scalable and data-
driven applications. If you’re wondering what MongoDB is and
how it can help your digital success, this blog is surely for you.
The blog post explores everything you need to know about
MongoDB.

4. What is MongoDB Development?
MongoDB is an open-source, document-oriented
NoSQL database that came to light around the mid-
2000s. MongoDB is used to store and handle high-
volume data. It can process structured, unstructured and
semi-structured data. It uses a non-relational database
and document-storage format called BSON, a binary
form of JSON (JavaScript Object Notation).
Instead of using a traditional relational database that
includes tables and rows, MongoDB uses documents
and collections. The document has key-value pairs- the
basic unit of data in MongoDB. On the other hand, a
collection has a set of documents and functions that is
equivalent to relational database tables.

5. History of MongoDB
MongoDB is an incredible technology that empowers
innovators to unleash the power of data and software.
But this technology has an interesting history.
MongoDB was founded in 2007 by Eliot Horowitz,
Dwight Merriman, and Kevin Ryan. It was the team
behind DoubleClick - an Internet advertising company
DoubleClick (now owned by Google). The team
developed and used several custom data stores to work
on the problems like scalability and agility that existing
databases were facing. After being frustrated with the
existing database, the team decided to create a database
that tackles all such challenges. And this was the time
when MongoDB was born. MongoDB development is
the answer to the problem of scalability and agility that
developers were expecting from the existing databases
at that time.

6. Let’s talk about MongoDB’s existence in detail-
● First developed by 10gen Software in 2007 and the
firm later switched to an open-source development
approach in 2009.
● In 2013, MongoDB Inc. replaced 10gen as the
name of the company.
● When MongoDB was listed on NASDAQ as MDB
with an IPO price of $24 per share, this technology
turned out as a publicly traded business on October
20, 2017,
● On October 30, 2019, it announced a partnership
with Alibaba Cloud to provide a MongoDB-as-a-
Service solution to its clients.

7. The Architecture of MongoDB NoSQL Database
The MongoDB NoSQL Database is designed to meet the demands
of modern applications with a technology foundation having the
elements-
● Database: A database is also called a physical data container
which has its own set of files on the file system with multiple
databases existing on a single MongoDB server.
● Document: A set of key-value pairs can be designated as a
document associated with dynamic schemas. But what’s the
benefit of dynamic schemas? Dynamic schemas are
beneficial as documents in a single collection don’t need to
possess the same structure or fields of a document in a single
collection.
● Collection: A collection refers to a group of database
documents. Collection in RDBMS refers to the table that has
rows and columns. The whole collection is stored within a
single database, and there are no schemas. Collections
contain documents having varied fields, but most documents
in a collection work for the same purpose of serving the same
goal.

8. MongoDB Data Types
MongoDB supports an extensive range of datatypes, such as:
● String − Must be UTF-8 valid
● Boolean − Stores true/ false value
● Symbol − Used identically to a string but primarily used for
languages having specific symbol types
● Code − To store JavaScript code into the document
● Timestamp − Used to keep a record of the additions or modifications
made to a document
● Object − Used for embedded documents
● Integer − Stores a numerical value of 64 bit or 32 bit depending upon
the server
● Object ID − Stores the document ID
● Binary data − For storing binary data
● Double − Stores floating point values
● Min/Max keys − Compares a value against the lowest & highest
BSON elements
● Arrays − Stores lists, arrays, or multiple values into one key
● Date − Stores the current time or date in UNIX format
● Null − Stores a null value
● Regular expression − Stores regular expression

9. Features of MongoDB Development
The following points are a few features of MongoDB that highlight the
importance of this technology and how it can be a perfect pick for your
web-based application development.
1. Schema-less Database
A Schema-less database refers to one collection that can hold distinct types
of documents in it. It is one of the great features of MongoDB, making this
technology the topmost preference of developers. If we say in simple
words, a single collection holds multiple documents, and these documents
consist of the fields, content, and sizes. One document doesn’t have to be
similar to another one which happens in the case of relational databases.
This MongoDB is a great flexibility to databases.
2. Scalability
One can expect horizontal scalability with MongoDB. Thanks to sharding-
a process of distributing data on multiple servers. In this process, a high
volume of data is partitioned into data chunks with the help of a shard key.
These data chunks are further evenly distributed across shards that basically
reside across different physical servers.

10. 3. Document Oriented
Yes, MongoDB is document-oriented. It means the data is stored in the
documents having a unique object id instead of tables that include rows and
columns like in RDBMS. The data stored in the documents in MongoDB is
much more flexible as compared to RDBMS where data is stored in rows
and columns.
4. Replication
If you’re using MongoDB keeping in mind it provides high availability and
redundancy, you’ve made the right pick. The replication helps them
achieve this redundancy. It creates several copies of the data and sends
these copies to multiple servers. If one server fails, the data can be easily
retrieved from another server.
5. Aggregation
Another feature on our list that makes MongoDB a perfect pick is that it
allows users to perform operations on the grouped data and get a single
result or computed result. It happens in the same way as the SQL
GROUPBY clause. It provides three aggregations i.e., map-reduce
function, aggregation pipeline, and single-purpose aggregation methods.

11. 6. Indexing
Did you know each field in the MongoDB document is
indexed with primary and secondary indices? This is
what makes it easier for developers to search for the
desired data from the pool of data. It also saves time for
developers as they can fetch the data in a few moments.
If the data will not be indexed, the database searches
each document with a specified query that will eat up a
lot of the developer’s time.
7. High Performance
If we talk about the overall performance of MongoDB,
it is very high, and data persisted as compared to other
databases in the market. Thanks to its features like
scalability, replication, indexing, etc., that adds more
value to the technology.

12. Advantages of MongoDB :
● MongoDB doesn’t have schemans that eliminate
the need to design the schema of the database
when working with MongoDB.
● It doesn’t support join operation.
● It supports Geospatial efficiently.
● It contains heterogeneous data.
● It is a document oriented database.
● The data is stored in BSON documents.
● It provides high flexibility to the fields in the
documents.
● It provides high performance, scalability &
availability.
● It doesn’t require any SQL injection.

13. Disadvantages of MongoDB :
● One of the big disadvantages of MongoDB is that it uses
high memory for data storage.
● It doesn’t allow you to store more than 16MB data in the
documents.
● The data nesting in BSON format is also limited. You
cannot nest data more than 100 levels.
Conclusion
So, this is all about MongoDB development. We are sure you
have gained a good idea about this leading technology after going
through this blog post. And if MongoDB heightens your interest
in your next web application development, connecting with
75way Technologies would be a great move. 75way is a leading
MongoDB development company that can help you in your
digital journey and provide you with a digital product that can
give an edge to your business.