How can MongoDB revolutionize your data management strategy?

Have you ever wondered how developers and software engineers store their code and manage the data inside it? One of the most popular tools that the world uses for data is MongoDB, developed by Alfons Kemper in 2009. 

According to a website called webtechsurvey, MongoDB is the most famous in the USA and holds the second position as a database management tool worldwide. 

Numerous websites and applications use MongoDB servers for their data execution and interaction. We will talk about these examples in the upcoming sections of this blog. Moreover, you will also learn about MongoDB's relationship with the cloud and Amazon Web Services (AWS).

Finally, we will discuss your requirement for MongoDB developers and tell you ways to hire them with numerous methods. You should be fine with being a beginner or a professional expert. We have something for all our readers. Let's start reading!

What is MongoDB?

Before moving forward with the role of MongoDB in the technological revolution, let's revise our understanding of MongoDB. 

If developers want a NoSQL file-oriented database system, they think about MongoDB. This system started its journey in 2009. The purpose of MongoDB was to design, store and manage documents and data of all types. 

MongoDB can work with structured, semi-structured, and unstructured data per specific instructions from the developers. This database system uses a flexible model allowing users to represent files in JSON format.

MongoDB alternatives and distinction

If we talk about other technologies and platforms similar to MongoDB that are statistically responsible for how we manage data, we will find many more. You will find the names of these file-handling models below. 

1. MySQL
2. Firebase
3. MariaDB
4. SQLite
5. Redis

And many more. 

You may think numerous software is available to perform the same task, so how is MongoDB distinct? MongoDB is not just a place for tables, rows, columns, and other methods to organize and segregate data. This database management tool stores flexible documents having varying structures and fields. Therefore, data handling gets effortless, even for an unstructured database. 

Features to talk about

Now, let's talk about the advanced features of MongoDB. Automatic sharing, data replication for scalability and high availability, dynamic queries using MongoDB Query Language (MQL), and other characteristics like aggregation framework and full-text search are some of the reasons why MongoDB is successful and can handle data efficiently. 

Supporting Languages

How can we miss the most significant part? Do you know how many languages MongoDB can support? You will get your answer if you want to include Java, Python, C, C++, Peri, Ruby, PHP, and others! We will talk more about this in the next section. 

Suggested Reading:

MongoDB: Pros, cons, and alternatives

Do you know about MongoDB cloud?

If we are discussing how MongoDB changes the data-management industry, we could talk about its relationship with the cloud. The cloud-based service that MongoDB offers is MongoDB Atlas. MongoDB cloud reduces the workload of the developers, and they can deploy, scale, and manage their databases in MongoDB using the cloud tool. 

You don't have to fret about the availability of MongoDB cloud, dear readers. MongoDB Atlas is open for all the developers on popular cloud platforms like AWS (Amazon Web Services), GCP (Google Cloud Platform), and Microsoft Azure. The next section will discuss MongoDB with AWS for a deeper understanding. 

How is the MongoDB cloud helping us? Here's a list of the things the users can perform with this cloud-based relationship. 

1. Configure new databases
2. Create new databases
3. Manage access
4. Maintain security 
5. Keep an eye on the database, and its performance
6. Use website console
7. Take benefits from the automated backups
8. Ensure data availability at all times. 

MongoDB with AWS

Let's understand the meaning of the Amazon Web Services (AWS) marketplace. Think of an online store where users and customers can find, order, buy, and deploy third-party software. If these services come with AWS as a package, you can call it AWS Marketplace. The available software in the marketplace provides a centralized platform to maintain the software requirements and business needs like storage, networking, and database services.

And when we talk about database services, we think about MongoDB. 

MongoDB cloud is advantageous for AWS due to its flexibility in database deployment. A developer working with MongoDB and AWS can choose an instance type per requirement and decide if it works with the application and provided workload. 

Additionally, you can scale the MongoDB clusters up and down per charging needs without having to deal with complex infrastructure management. 

How is MongoDb revolutionizing a developer's data-management strategy?

We are sure the above content provides instances and reasons why MongoDB is revolutionizing the future of database management. Now, let us think about these advancements and changes and discuss them in this section.

Think about a developer working with a humongous amount of scattered and unscattered data. What will they want? Here is a list of reasons that will tell you why MongoDB is the future's choice for handling databases. 

Running like Flash

If the user wishes to access the data at comparatively high-speed, they will think about MongoDB. These database management tools work on in-memory processing and indexing, making it effortless to manage and provide the data whenever required. 

Do you have experience dealing with real-time applications? These apps and websites require attention and constant interaction with the platform user. The database shall generate fast responses, or the customer will use another application to provide them with more. Hence, MongoDB handles data and creates user responses at faster speeds.

Cloud and its relationship with MongoDB

We talked about MongoDB Atlas and how it's changing the way we store data. Tables need to be updated, and scattered data management is significant. You can scroll back to the above section to learn how the MongoDB cloud works. 

As flexible as elastic

The document-based model of MongoDB is exceedingly flexible and allows the developers and users to handle any data structure type. You can utilize MongoDB and its tools to store and make changes in the data in numerous ways. These pathways are not present with traditional database systems using rows and columns to store data. Flexibility allows data maintenance effortlessly and opens it to endless possibilities with the technology. 

The Internet of Things (IoT) is an example of this feature. 

Examples of MongoDB being used as a database management tool

We must tell you about the real-life examples of MongoDB, can we? MongoDB is the future of data management. This tool is surpassing the traditional ones and will have a bright future. Here is a list of applications and websites using MongoDB. 

Mobile Applications

Let's take an example of one of the most widely used applications. Do you know about the weather app? You can see it on your mobile phone and laptop. It is pre-installed on most devices. How is the weather application using MongoDB?

The application stores the found weather findings, data, user preferences, and other details like location in the app. MongoDB handles this complex database and supports real-time access and changes per requirement. 

Like the weather application, MongoDB can store and handle the data-oriented mobile application for users. 

E-commerce websites and apps

What will the e-commerce websites do with MongoDB? Do you know how much data needs storage and maintenance for e-commerce? The MongoDB server stores the product details, name, costs, type, category, and other specifics. Further, it categorizes the information for the users and shows them in a sorted format. 

MongoDB holds the responsibility of handling the user data as they enter their details for shipment, delivery, and contacts. 

Stitch Fix and Fanatics are examples of e-commerce websites using MongoDB as their data management tool. 

Finance Apps and Money-related data

MongoDB is used in financial services to manage and store large volumes of transactional data. MongoDB handles complex data and supports distributed systems and scattered information. Therefore, MongoDB is ideal for Financial applications. Moreover, additional security is a plus point working in favor of MongoDB!

Examples of MongoDB server-based financial apps include Clear Bank, Wealthfront, and Fidelity Investments. 

Conclusion

After learning about this database management tool in our MongoDB tutorial, we are sure about your amazement. You will find clear possibilities for MongoDB to involve in the database management revolution of the future. 

MongoDB is a powerful tool and can integrate with the cloud. You will find numerous advantages and minimum drawbacks while working with a tool offering scattered and unscattered data maintenance services. Now, do you want to create an application requiring the use of MongoDB? Do you plan to create an e-commerce, finance, or mobile application with real-time data and shuffling? Do you want to know about MongoDB?

We have the perfect solution for you! You can contact the AppsRhino team today and learn more about MongoDB! You can talk about your project needs and ideas with us. Moreover, our MongoDB developers are here for you. Why wait? Connect with us now and start your MongoDB development journey!