Everything You Need to Know About MongoDB Development

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.

The blog post explores everything you need to know about MongoDB.

Let’s start!

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.

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,

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.

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.

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

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.

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.

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.

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.

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.


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.